Timeline

[Editor Content] Saved the important state. - Wrote the Master Brain branch handoff into @master-brain.md - Logged it in the LLM Wiki log - Synced it to mac, vps1, vps2, vps3, and hp-big - Did not change the repo worktree Do not archive yet if you want me to clean the branch. Archive after: 1. Split the dirty branch into clean branches 2. Commit the Supermemory scripts 3. Commit/park the OpenClaw docs separately 4. Push the clean branch(es) After that, archive is fine. Files: - log.md (Document • MD) - master-brain.md (Document • MD) Path: D:/Ecosystem/Memory/llm-wiki/wiki/log.md

Saved the important state. Wrote the Master Brain branch handoff into master-brain.md Logged it in the LLM Wiki log Synced it to mac, vps1, vps2, vps3, and hp-big Did not change the repo worktree Do not archive yet if you want me to clean the branch. Archive after: split the dirty branch into clean branches commit the Supermemory scripts commit/park the OpenClaw docs separately push the clean branch(es) After that, archive is fine.

Screen: e DASHBOARDs B domain-portfo... e HQ Tools Verify live domains Check GitHub bra... 4d 3w master-brain a DASHBOARDs B domain-portfo... HQ Tools call-sentiment... Fix calls filter cou... agent-soul-sys... merlinsmagictools-... bolt.diy 5, agent-soul-sys... call-sentiment... • Moved Matteo OpenClaw runtime artifact commit to separate branch: • Moved OpenClaw docs to separate branch: • codex/openclaw-ava-oscar-repair-docs • commit c5c4f45 codex/supermemory-openai is now clean and scoped correctly. • It is 5 commits ahead of origin/master , not pushed. • Added/committed the 5 SOP ingest/fanout scripts. • Added . codex-work/ and tmp-*/ to .gitignore . • Moved OpenClaw docs to separate branch: • codex/openclaw-ava-oscar-repair-docs • commit c5c4f45 • Moved Matteo OpenClaw runtime artifact commit

[Editor Content] Fix Hermes setup Next action after GO: create the two clean branches, commit each scope separately, run tests/build on the Supermemory branch, then push both. Working for 42s Do not archive yet. I'll save the useful state into durable handoff docs first, then archive is fine after cleanup/push is done. I'm saving this as a repo handoff in the LLM Wiki, not inside the dirty branch. That avoids contaminating codex/supermemory-openai while still preserving the state across agents/machines. Saved the important state. Wrote the Master Brain branch handoff into @ master-brain.md Logged it in the LLM Wiki log Synced it to mac, vps1, vps2, vps3, and hp-big SOP Process API vs Skills Last updated: 2026-05-16 Correct Framing The problem is not MCP. The problem is also not just "knowledge lookup." Mike has hundreds of real skills/SOPs/process files. Those are not passive reference docs. They are procedures that agents need to run. A Knowledge API can help agents find the right SOP, but it does not make an SOP executable by itself. The target system is a private SOP Process API: - Process Catalog: stores every SOP/skill as a normalized process definition. - Workflow Runner: creates runs, tracks steps, enforces gates, records evidence, resumes work, and verifies completion.

[Command-Line Output] . continue-here . md docs/openclaw-ava-oscar- md Reason: Supermemory branch should stay about Master Brain memory/ SOP ingest. OpenClaw repair docs/runtime artifacts are real, but unrelated. Current branch is salvageable as a source branch, not as the branch to push. Next action after GO: create the two clean branches, commit each scope separately, branch, then push both. [honcho] user-prompt f- injected conclusions (cached) UserPromptSubmit says: Plan from Codex 1 is sound. Two notes before you GO it: Agree with: - run tests/ build on the Supermemory - Split is the right call. Supermemory scope and OpenClaw scope don't belong together. - Read-only inspection first, no process holding the repo, no index lock — safe to act. - Don't push the dirty branch as-is. Tighten before approval: 1. Confirm with Codex terminal 2 first. You said you have 2 terminals open. Before either Codex starts cherry-picking, the second one needs to confirm it has zero local changes and isn't mid-edit on this repo. Two terminals doing git surgery on the same branch is how you lose work. 2. Branch base matters. Codex 1 said "cherry-pick cc7c015, a3a9bcc, 397f494, 48c5480" but didn't say what to branch from. Should be: - codex/supermemory-openai-clean branched from master, then cherry-pick those 4 - codex/openclaw-runtime-docs branched from master, then cherry-pick 5d46f0c, then commit the two modified docs on top 3. Keep the dirty branch as the safety net. Don't delete codex/supermemory-openai until both new branches are pushed and verified. It's the only place those uncommitted docs and untracked scripts currently exist. 4. Verification before push: on codex/supermemory-openai-clean, the 5 new scripts should at minimum import-check clean (python -c "import scripts...") before push. No need for full test run, just sanity. Paste this to Codex 1 as the GO: GO with the split. Branch both new branches from master, not from the dirty branch. Keep codex/supermemory-openai intact as safety net until both clean branches are pushed and verified. Before any commit, confirm with the other Codex terminal that it has zero local changes on this repo. Import-check the 5 new scripts before pushing the Supermemory branch. Report back when both branches are pushed with URLs. Also paste the original handoff to Codex 2 and tell it to reply with: "Am I in this repo? What local changes do I have? Do I have any in-flight work touching these files?" before either terminal moves.

Screen: bash x bash x bash x tmp-ava-skills-training/ (May 12 OpenClaw scratch, probably gitignore) tmp-openclaw-hubstaff/ (May 12 OpenClaw plugin backup copies, probably gitignore) Decisions needed before either Codex terminal touches this repo: 1. Is codex/ supermemory-openai still the active build branch, or has it been abandoned? 2. Do the 5 new scripts/ ingest_*.py and scripts/ fanout_*.py belong on this branch, or split to a new one? 3. Should the OpenClaw repair docs ( . continue-here. md + docs/openclaw-ava-oscar-repair-2026-05-12.md) be cherry-picked to a separate branch since they have nothing to do with Supermemory? 4. Add tmp-*/ and . codex-work/ to .gitignore? 5. Push the branch to origin after cleanup, or rebase on master first? Check on the other terminal: are either of you actively

[Editor Content] Save all things in here or should I archive when done? - Add .codex-work/ and tmp-*/ to .gitignore - codex/openclaw-runtime-docs - Take: - 5d46fec Matteo/OpenClaw artifacts - continue-here.md - docs/openc1aw-ava-oscar-repair-2026-05-12.md Reason: Supermemory branch should stay about Master Brain memory/SOP ingest. OpenClaw repair docs/runtime artifacts are real, but unrelated. Current branch is salvageable as a source branch, not as the branch to push. Next action after GO: create the two clean branches, commit each scope separately, run tests/build on the Supermemory branch, then push both. Ask for follow-up changes

[Editor Content] SOP Process API vs Skills Last updated: 2026-05-16 Correct Framing: The problem is not MCP or knowledge lookup. Mike has hundreds of real skills/SOPs that are procedures agents need to run. A Knowledge API helps find the SOP, but it does not make it executable. The target system is a private SOP Process API: - Process Catalog: stores every SOP/skill as a normalized process definition. - Workflow Runner: creates runs, tracks steps, enforces gates, records evidence, and verifies completion. Next Build: merlino-process-api to import SOPs, classify them, and convert to runnable process definitions. Repair Log: - MacHermes and Herman prod repaired: browser/transcript env fixed. - Patched youtube-content helpers to use Supadata. - Installed youtube-transcript-api in Hermes venvs. - Stabilized MacHermes gateway processes.

Screen: Set up a run action @ Settings O Full access v Extra High v Audit live domains Inspect Open-Ge... 1 file changed +2 -0 Review here Review gist 9 Web search a DASHBOARDs Compare memory... o Create pull request Review OpenAl A... V codex/supermemory-openai -o- Commit master-brain @ Changes Local @ Ran 6 commands My cleanup decision: keep codex/ supermemory-openai as the active Supermemory branch, commit only the five SOP ingest/fanout docs out of that commit. I'm gitignore edit. O Edited 1 file, ran 3 comman The five new Supermemory/SC . gitignore ; the OpenClaw d @ Ran 3 commands I'm committing the Supermem I'm deliberately not staging . ( @ Running git diff --cached - The Supermemory/SOP commi branch from origin/master , Thinking OpenClaw repair x nake the minimal Run Tell Codex how to ins

[Editor Content] Fix Hermes setup Supermemory branch should stay about Master Brain memory/SOP ingest. OpenClaw repair docs/runtime artifacts are real, but unrelated. Current branch is salvageable as a source branch, not as the branch to push. Next action after GO: create the two clean branches, commit each scope separately, run tests/build on the Supermemory branch, then push both. SOP Process API vs Skills Last updated: 2026-05-16 Correct Framing: The problem is not MCP. The problem is also not just "knowledge lookup." Mike has hundreds of real skills/SOPs/process files. Those are not passive reference docs. They are procedures that agents need to run. The target system is a private SOP Process API: - Process Catalog: stores every SOP/skill as a normalized process definition. - Workflow Runner: creates runs, tracks steps, enforces gates, records evidence, resumes work, and verifies completion. Cleanup decision: keep codex/supermemory-openai as the active Supermemory branch, commit only the five SOP ingest/fanout scripts plus scratch-dir ignores there, and keep the OpenClaw repair docs out of that commit.

[Command-Line Output] Decisions needed before either Codex terminal touches this repo: 1. Is codex/supermemory-openai still the active build branch, or has it been abandoned? 2. Do the 5 new scripts/ingest_*.py and scripts/fanout_*.py belong on this branch, or split to a new one? 3. Should the OpenClaw repair docs (.continue-here.md + docs/openclaw-ava-oscar-repair-2026-05-12.md) be cherry-picked to a separate branch since they have nothing to do with Supermemory? 4. Add tmp-*/ and .codex-work/ to .gitignore? 5. Push the branch to origin after cleanup, or rebase on master first? Check on the other terminal: are either of you actively working in this repo right now, or is the work happening elsewhere (Mac OpenClaw, Hermes, etc.)? Confirm before any commit/push. Recap: We're checking the state of the 'codex/supermemory-openai' branch in master-brain to figure out where work actually stands. Next: decide what to do with the 5 untracked ingest scripts and the unrelated OpenCLaw repair docs sitting on this branch.

[Editor Content] Next action after GO: create the two clean branches, commit each scope separately, run tests/build on the Supermemory branch, then push both.

Confirmed. Repo Is Safe To Touch, But Not Commit Yet No process command line is pointed at master-brain. No .git/index.lock. Branch state matches the handoff. I only did read-only inspection. My Call codex/supermemory-openai is still useful, but dirty/mixed. Do not push it as-is. Do not rebase the current dirty branch directly. Create clean split branches. Clean Split codex/supermemory-openai-clean cherry-pick: cc7c015 a3a9bcc 397f494 48c5480 add/commit the 5 SOP ingest/fanout scripts: scripts/ingest_supermemory_sop.py scripts/ingest_byterover_sop.py scripts/ingest_lmstudio_sop.py scripts/fanout_sops_to_chroma.py scripts/fanout_sops_to_other_backends.py add .codex-work/ and tmp-*/ to .gitignore codex/openclaw-runtime-docs take: 5d46f0c Matteo/OpenClaw artifacts .continue-here.md docs/openclaw-ava-oscar-repair-2026-05-12.md Reason Supermemory branch should stay about Master Brain memory/SOP ingest. OpenClaw repair docs/runtime artifacts are real, but unrelated. Current branch is salvageable as a source branch, not as the branch to push. Next action after GO: create the two clean branches, commit each scope separately, run tests/build on the Supermemory branch, then push both.

Screen: Edit C Q 00 O File New chat Search Plugins Automations View 2 c c 4d Window Help Fix Hermes setup +137 -2 D:/Ecosystem/Memory/llm-wiki/wiki/index.md D:/Ecosystem/Memory/llm-wiki/wiki/log.md D:/Ecosystem/Memory/llm-wiki/wiki/tools/knowledge-api-vs-mcp.md The deal: o x O Pinned Fix OpenClaw out... Fix Hermes setup Plan 24-agent res... Projects e VIDEO-TOOLS No chats B master-brain Review OpenAl A... Compare memory... e DASHBOARDs Review gist Inspect Open-Ge... Audit live domains @ Settings +135 so whats the deal? Your current "skills" setup is a pile of runnable SOPs trapped in a prompt-loading format. That does not scale. Syncing skills across machines only makes the pile available everywhere; it does not make the processes controllable. The missing layer is a process runtime. What should h

[Command-Line Output] These are OpenClaw scope, not Supermemory scope. Untracked (8): - scripts/fanout_sops_to_chroma.py (Supermemory scope, should commit) - scripts/fanout_sops_to_other_backends.py (Supermemory scope, should commit) - scripts/ingest_byterover_sop.py (Supermemory scope, should commit) - scripts/ingest_lmstudio_sop.py (Supermemory scope, should commit) - scripts/ingest_supermemory_sop.py (Supermemory scope, should commit) - .codex-work/ (Matteo VPSI install + setup audit/ fix scratch from today, probably gitignore) - tmp-ava-skills-training/ (May 12 OpenClaw scratch, probably gitignore) - tmp-openclaw-hubstaff/ (May 12 OpenClaw plugin backup copies, probably gitignore) Decisions needed before either Codex terminal touches this repo: 1. Is codex/supermemory-openai still the active build branch, or has it been abandoned? 2. Do the 5 new scripts/ingest_*.py and scripts/fanout_*.py belong on this branch, or split to a new one? 3. Should the OpenClaw repair docs (.continue-here.md + docs/openclaw-ava-oscar-repair-2026-05-12.md) be cherry-picked to a separate branch? 4. Add tmp-*/ and .codex-work/ to .gitignore? 5. Push the branch to origin after cleanup, or rebase on master first? [Process Catalog Proposal] - Create a Process Catalog: Each real SOP gets an ID, title, triggers, and original Markdown source. - Build a Workflow Runner: start run, next step, submit result, attach evidence, pause/resume, complete/block. - Agent Rule: Do not load 600 skills. Search/start/resume processes through the Process API.

[Editor Content] Spawned 6 agents: Raven, Knox, Merlin, Dan, Frankie, and Queen. Task: Research 13 full-stack production layers for 2026 best practices (Next.js, TypeScript, Tailwind, Supabase, Vercel/Netlify/Cloudflare). Branch Status: master-brain repo, branch codex/supermemory-openai. Contains mixed scopes: Supermemory/OpenAI ingest and OpenClaw Discord repair. Knowledge API vs MCP Analysis: - The problem is not MCP or knowledge lookup; it is the lack of an executable process layer. - Proposed System: Private SOP Process API with a Process Catalog, Workflow Runner, and Tool/Action Adapters. - Strategy: Inventory all SOP/skill files, create a process catalog, build a workflow runner, and transition skills to bootstrap wrappers.

The deal: Your current “skills” setup is a pile of runnable SOPs trapped in a prompt-loading format. That does not scale. Syncing skills across machines only makes the pile available everywhere; it does not make the processes controllable. The missing layer is a process runtime. What should happen next: Inventory all SOP/skill files Find every SKILL.md, SOP, runbook, checklist, workflow. Classify: bootstrap, reference, executable process, tool wrapper, safety rule. Create a Process Catalog Each real SOP gets an ID, title, triggers, inputs, required tools, steps, risks, done criteria. Original Markdown stays as source evidence. Build a Workflow Runner start run next step submit result attach evidence pause/resume complete/block Give every agent one tiny rule “Do not load 600 skills. Search/start/resume processes through the Process API.” Only then retire skills Skills become bootstrap wrappers. SOP execution moves to the runner. Plain version: you do not need “more synced skills.” You need your own internal Zapier/Temporal-lite for agent SOPs. The agents should not memorize processes; they should execute process runs.

Screen: Edit C Q 00 O File New chat Search Plugins Automations View 2 4d Window Help Fix Hermes setup • Original Markdown stays as source evidence. 3. Build a Workflow Runner o x O Pinned Fix OpenClaw out... Fix Hermes setup Plan 24-agent res... Projects e VIDEO-TOOLS No chats B master-brain Review OpenAl A... Compare memory... e DASHBOARDs Review gist Inspect Open-Ge... Audit live domains @ Settings • • • start run next step submit result attach evidence pause/resume complete/block 4. Give every agent one tiny rule • "Do not load 600 skills. Search/start/resume processes through the Process API." 5. Only then retire skills • Skills become bootstrap wrappers. • SOP execution moves to the runner. Plain version: you do not need "more synced skills." You need your own internal Zapier/Temporal-lite fo

[Command-Line Output] tmp-ava-skills-training/ (May 12 OpenClaw scratch, probably gitignore) tmp-openclaw-hubstaff/ (May 12 OpenClaw plugin backup copies, probably gitignore) Decisions needed before either Codex terminal touches this repo: 1. Is codex/supermemory-openai still the active build branch, or has it been abandoned? 2. Do the 5 new scripts/ingest_*.py and scripts/fanout_*.py belong on this branch, or split to a new one? 3. Should the OpenClaw repair docs (.continue-here.md + docs/openclaw-ava-oscar-repair-2026-05-12.md) be cherry-picked to a separate branch since they have nothing to do with Supermemory? 4. Add tmp-*/ and .codex-work/ to .gitignore? 5. Push the branch to origin after cleanup, or rebase on master first? Check on the other terminal: are either of you actively working in this repo right now, elsewhere (Mac OpenClaw, Hermes, etc.)? Confirm before any commit/push.

STATUS HANDOFF — master-brain repo, branch codex/supermemory-openai Path: D:\ClaudeDev\00_GITHUB\_working-on\Tools\master-brain Date: 2026-05-16 Source: Claude Code (Windows) inspection Branch state: - 5 commits ahead of master, NEVER pushed (no origin/codex/supermemory-openai exists yet) - Commits on this branch: - 5d46f0c Fix Matteo JR OpenClaw runtime artifacts - 48c5480 Add Supermemory OpenAI Agents runner - 397f494 Support OpenAI-compatible base URLs - a3a9bcc Ignore ByteRover context tree - cc7c015 Add Supermemory OpenAI memory integration Two unrelated scopes are mixed on this one branch: 1. Supermemory / OpenAI-compatible ingest work (matches the branch name) 2. OpenClaw Ava/Oscar/Hawkeye Discord repair from 2026-05-12 (drifted onto this branch) Modified, not committed (2): - .continue-here.md (+8 lines, Ava token rotation, Hawkeye 4014 fix, GWS OAuth blocker) - docs/openclaw-ava-oscar-repair-2026-05-12.md (+105 lines, full archive of Ava/Hawkeye repair) These are OpenClaw scope, not Supermemory scope. Untracked (8): - scripts/fanout_sops_to_chroma.py (Supermemory scope, should commit) - scripts/fanout_sops_to_other_backends.py (Supermemory scope, should commit) - scripts/ingest_byterover_sop.py (Supermemory scope, should commit) - scripts/ingest_lmstudio_sop.py (Supermemory scope, should commit) - scripts/ingest_supermemory_sop.py (Supermemory scope, should commit) - .codex-work/ (Matteo VPS1 install + setup audit/fix scratch from today, probably gitignore) - tmp-ava-skills-training/ (May 12 OpenClaw scratch, probably gitignore) - tmp-openclaw-hubstaff/ (May 12 OpenClaw plugin backup copies, probably gitignore) Decisions needed before either Codex terminal touches this repo: 1. Is codex/supermemory-openai still the active build branch, or has it been abandoned? 2. Do the 5 new scripts/ingest_*.py and scripts/fanout_*.py belong on this branch, or split to a new one? 3. Should the OpenClaw repair docs (.continue-here.md + docs/openclaw-ava-oscar-repair-2026-05-12.md) be cherry-picked to a separate branch since they have nothing to do with Supermemory? 4. Add tmp-*/ and .codex-work/ to .gitignore? 5. Push the branch to origin after cleanup, or rebase on master first? Check on the other terminal: are either of you actively working in this repo right now, or is the work happening elsewhere (Mac OpenClaw, Hermes, etc.)? Confirm before any commit/push.

Screen: x bash config pieces, memo, Want me to: bash claude-in-chrome, claude-peers local MCP config ü Cleanup target Which cleanup do you want first? [ ] Kill the 13 per-domain SOPs (Recommended) Already replaced by merlino-sops. Safe nuke. Biggest single win. [ ] Kill duplicate Vercel + Context 7 2. Pick one of each; remove the other. Small win, no risk. ] Kill Pieces MCP 3. 60+ tools, biggest noise contributor. Only if you don't call it from Claude Code. [ ] Kill unused claude.ai connectors 4. ClickUp/Gmail/Drive/Notion/Slack/etc. Done from claude.ai web UI, not local. Type something 5. Submit 6. Chat about this Enter to select t/ J to navigate Esc to cancel Codex Fix Hermes se The deal: - YOI runnable SOP: Kill User answered Claude's questions: Which cleanup do you want first? Kill the L dupli

[Editor Content] Knowledge API vs MCP Last updated: 2026-05-16 Short Answer: Mike can build a private Merlino Knowledge API and have every agent call it. That can replace MCP and skill usage for memory, retrieval, source-backed current state, and cross-agent context. - You need a Process API + Workflow Runner, not a Knowledge API. The correct system: - Process Catalog: imports every SOP/skill file into structured process definitions. - Workflow Runner: tracks run state, current step, inputs, blockers, evidence, retries, approvals, done criteria. - Agent Client: agents ask: "what process applies?", "start run", "next step", "submit result." - Action Adapters: shell, SSH, browser, deploy, API calls, human approval, etc. So the agent does not "have the skill." The agent calls the runner and gets the next executable instruction. Loading 600+ skills into agent context is the wrong abstraction. Next real build is not "more skills." It is merlino-process-api: import SOPs, classify them, convert to runnable process definitions, and expose run/step/evidence endpoints.

[Editor Content] Load Balancing & Scaling Ask for follow-up change Sherlock if weird perf bugs Merlin Knox + Merlin Caching & CDN Knox abuse review Merlin implements Rate Limiting Database & Storage Auth & Permissions Hosting & Deployment Cloud & Compute CI/CD & Version Control Security & RLS Recommended Plan: 1. Build a 13-layer production checklist for your default Next.js/Supabase/Vercel stack. 2. Raven researches each layer from official docs, GitHub examples, Reddit signals, and serious engineering sources. 3. Sherlock validates anything risky or trendy. 4. Dan converts findings into your agency standard: 'how we build production apps.' 5. Merlin/Frankie/Knox map the checklist to actual implementation patterns. 6. Memz stores the final standard in the Wiki. 7. Carlos uses it as the reusable launch-team playbook. Correct Framing: The problem is not MCP. The problem is also not just 'knowledge lookup.' Mike has hundreds of real skills/SOPs/process files. Those are not passive reference docs. They are procedures that agents need to run. A Knowledge API can help agents find the right SOP, but it does not make an SOP executable by itself. The target system is a private SOP Process API: - Process Catalog: stores every SOP/skill as a normalized process definition. - Workflow Runner: creates runs, tracks steps, enforces gates, records evidence, resumes work, and verifies completion. - Tool/Action Adapters: execute actual work through shell, browser, APIs, deploy tools, databases, or human approval. - Agent Interface: any agent can ask what process applies, start it, get the next step, execute that step, and report back.

[Editor Content] Knowledge API vs MCP Last updated: 2026-05-16 Short Answer: Mike can build a private Merlino Knowledge API and have every agent call it. That can replace a lot of MCP and skill usage for memory, retrieval, source-backed current state, and cross-agent context. Recommended Architecture: Use a private Merlino Knowledge API as the source of truth: - GET /search?q=... - GET /entities/ - GET /agents/{agent}/context - GET /projects/{slug}/state - POST /facts - POST /events - POST /context-bundles Direction: Knowledge lives in the API. Durable source-backed state lives in the LLM Wiki/API backing store. Agent memory writes go through one API. Skills stop being giant knowledge containers. MCP is optional plumbing for external tools, not the core brain. Recommended Plan (24-agent research setup): 1. Build a 13-layer production checklist for your default Next.js/Supabase/Vercel stack. 2. Raven researches each layer. 3. Sherlock validates risky items. 4. Dan converts findings into agency standards. 5. Merlin/Frankie/Knox map the checklist to implementation patterns. 6. Memz stores the final standard in the Wiki. 7. Carlos uses it as the launch-team playbook.

Knowledge API vs MCP Last updated: 2026-05-16 Short Answer Mike can build a private Merlino Knowledge API and have every agent call it. That can replace a lot of MCP and skill usage for memory, retrieval, source-backed current state, and cross-agent context. It does not automatically replace tools that perform actions. To replace those, the API must expose action endpoints with auth, scopes, audit logs, idempotency, and rollback rules. What A Knowledge API Can Replace LLM Wiki lookup vector/session memory search project/entity/fleet state queries agent roster and routing facts durable fact writes with source evidence cross-machine context sync generated prompt/context bundles most "read this skill before answering" flows What It Does Not Replace By Itself Gmail/Calendar/Drive/Slack/Notion actions deployment actions on Vercel/Netlify/Cloudflare browser automation database writes file edits SSH/server operations payment, CRM, or production system mutations Those can become API endpoints, but then the API is no longer just knowledge. It becomes an operations gateway and needs stricter security. Recommended Architecture Use a private Merlino Knowledge API as the source of truth: GET /search?q=... GET /entities/{type}/{id} GET /agents/{agent}/context GET /projects/{slug}/state POST /facts POST /events POST /context-bundles Keep MCP/connectors only where they are genuinely useful: third-party app auth and actions tool schema discovery connector-managed permissions browser/desktop integration high-risk operations that benefit from an existing protocol boundary Keep skills thin: role/personality bootstrap "when to call the Knowledge API" safety rules domain-specific decision rules not worth turning into API code yet Direction The clean target is: Knowledge lives in the API. Durable source-backed state lives in the LLM Wiki/API backing store. Agent memory writes go through one API. Skills stop being giant knowledge containers. MCP is optional plumbing for external tools, not the core brain.

Screen: Edit C Q 00 O File New chat Search Plugins Automations View 2 4d Window Help Plan 24-agent research setup Working for 1m 26s Using agentic-workflow-rules because this is an agent-system design question, and I'm checking your local wiki/project state before I make recommendations. I'm not launching research agents yet; this is just confirming what exists in this workspace. @ Ran 4 commands I found the wiki has current fleet facts from today: Windows/Codex/Claude agent mirror validates 126 / 126 , and the original Windows instructions mention 24 agent profile files. I'm checking the local master-brain repo now so I can distinguish "global ecosystem exists" from "this repo has those agent files wired here." @ Ran 8 commands Local confirmation so far: this repo has CLAUDE. md with your real ec

Screen: bash x vercel-storage: bash rv70 tokens x deployments-cicd: rv70 tokens next-upgrade: rv70 tokens vercel : bootstrap: rv70 tokens vercel : env: rv60 tokens turbopack: rv60 tokens at-gateway: rv60 tokens rv60 tokens env-vars : vercel : marketplace: rv60 tokens vercel : deploy: rv50 tokens knowledge-update : rv50 tokens vercel : status: tokens Built-in claude-api: rv250 tokens update-config : rv240 tokens schedule: N130 tokens loop: NIIO tokens keybindings-help: rv80 tokens fewer-permission-prompts: rv60 tokens simplify: rv30 tokens security-review: rv30 tokens init: rv20 tokens review: < 20 tokens bypass permissions on (shift+tab to cycle) . for agents local- sop__get_topic mcp__ local- mcp__ local- sop__search_sop mcp__ mem@__add_memory mcp__ delete all memories memo mcp__ delete entities

❯ /context ⎿ Context Usage ⛁ ⛁ ⛀ ⛁ ⛁ ⛁ ⛁ ⛁ ⛁ ⛁ ⛁ ⛁ ⛁ ⛁ ⛁ ⛁ ⛁ ⛁ ⛁ ⛁ Opus 4.7 (1M context) ⛁ ⛁ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ claude-opus-4-7[1m] ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ 101.2k/1m tokens (10%) ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ Estimated usage by category ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛁ System prompt: 9.7k tokens (1.0%) ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛁ Custom agents: 3.2k tokens (0.3%) ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛁ Memory files: 24k tokens (2.4%) ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛁ Skills: 26.8k tokens (2.7%) ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛶ ⛁ Messages: 46.9k tokens (4.7%) ⛶ Free space: 889.4k (88.9%) MCP tools · /mcp (loaded on-demand) Available ├ mcp__claude_ai_ClickUp__clickup_add_tag_to_task ├ mcp__claude_ai_ClickUp__clickup_add_task_dependency ├ mcp__claude_ai_ClickUp__clickup_add_task_link ├ mcp__claude_ai_ClickUp__clickup_add_task_to_list ├ mcp__claude_ai_ClickUp__clickup_add_time_entry ├ mcp__claude_ai_ClickUp__clickup_attach_task_file ├ mcp__claude_ai_ClickUp__clickup_create_document ├ mcp__claude_ai_ClickUp__clickup_create_document_page ├ mcp__claude_ai_ClickUp__clickup_create_folder ├ mcp__claude_ai_ClickUp__clickup_create_list ├ mcp__claude_ai_ClickUp__clickup_create_list_in_folder ├ mcp__claude_ai_ClickUp__clickup_create_reminder ├ mcp__claude_ai_ClickUp__clickup_create_task ├ mcp__claude_ai_ClickUp__clickup_create_task_comment ├ mcp__claude_ai_ClickUp__clickup_delete_task ├ mcp__claude_ai_ClickUp__clickup_filter_tasks ├ mcp__claude_ai_ClickUp__clickup_find_member_by_name ├ mcp__claude_ai_ClickUp__clickup_get_bulk_tasks_time_in_status ├ mcp__claude_ai_ClickUp__clickup_get_chat_channel_messages ├ mcp__claude_ai_ClickUp__clickup_get_chat_channels ├ mcp__claude_ai_ClickUp__clickup_get_chat_message_replies ├ mcp__claude_ai_ClickUp__clickup_get_current_time_entry ├ mcp__claude_ai_ClickUp__clickup_get_custom_fields ├ mcp__claude_ai_ClickUp__clickup_get_document_pages ├ mcp__claude_ai_ClickUp__clickup_get_folder ├ mcp__claude_ai_ClickUp__clickup_get_list ├ mcp__claude_ai_ClickUp__clickup_get_task ├ mcp__claude_ai_ClickUp__clickup_get_task_comments ├ mcp__claude_ai_ClickUp__clickup_get_task_time_entries ├ mcp__claude_ai_ClickUp__clickup_get_task_time_in_status ├ mcp__claude_ai_ClickUp__clickup_get_threaded_comments ├ mcp__claude_ai_ClickUp__clickup_get_time_entries ├ mcp__claude_ai_ClickUp__clickup_get_workspace_hierarchy ├ mcp__claude_ai_ClickUp__clickup_get_workspace_members ├ mcp__claude_ai_ClickUp__clickup_list_document_pages ├ mcp__claude_ai_ClickUp__clickup_move_task ├ mcp__claude_ai_ClickUp__clickup_remove_tag_from_task ├ mcp__claude_ai_ClickUp__clickup_remove_task_dependency ├ mcp__claude_ai_ClickUp__clickup_remove_task_from_list ├ mcp__claude_ai_ClickUp__clickup_remove_task_link ├ mcp__claude_ai_ClickUp__clickup_resolve_assignees ├ mcp__claude_ai_ClickUp__clickup_search ├ mcp__claude_ai_ClickUp__clickup_search_reminders ├ mcp__claude_ai_ClickUp__clickup_send_chat_message ├ mcp__claude_ai_ClickUp__clickup_start_time_tracking ├ mcp__claude_ai_ClickUp__clickup_stop_time_tracking ├ mcp__claude_ai_ClickUp__clickup_update_document_page ├ mcp__claude_ai_ClickUp__clickup_update_folder ├ mcp__claude_ai_ClickUp__clickup_update_list ├ mcp__claude_ai_ClickUp__clickup_update_reminder ├ mcp__claude_ai_ClickUp__clickup_update_task ├ mcp__claude_ai_Context7__query-docs ├ mcp__claude_ai_Context7__resolve-library-id ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_create_soundbite ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_fetch ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_get_active_meetings ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_get_analytics ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_get_channel ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_get_rule_executions ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_get_soundbites ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_get_summary ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_get_transcript ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_get_transcripts ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_get_user ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_get_user_contacts ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_get_usergroups ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_list_channels ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_move_meeting ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_revoke_meeting_access ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_search ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_share_meeting ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_update_meeting_privacy ├ mcp__claude_ai_Fireflies_MCP_Server__fireflies_update_meeting_title ├ mcp__claude_ai_Gmail__create_draft ├ mcp__claude_ai_Gmail__create_label ├ mcp__claude_ai_Gmail__delete_label ├ mcp__claude_ai_Gmail__get_thread ├ mcp__claude_ai_Gmail__label_message ├ mcp__claude_ai_Gmail__label_thread ├ mcp__claude_ai_Gmail__list_drafts ├ mcp__claude_ai_Gmail__list_labels ├ mcp__claude_ai_Gmail__search_threads ├ mcp__claude_ai_Gmail__unlabel_message ├ mcp__claude_ai_Gmail__unlabel_thread ├ mcp__claude_ai_Gmail__update_label ├ mcp__claude_ai_Google_Calendar__create_event ├ mcp__claude_ai_Google_Calendar__delete_event ├ mcp__claude_ai_Google_Calendar__get_event ├ mcp__claude_ai_Google_Calendar__list_calendars ├ mcp__claude_ai_Google_Calendar__list_events ├ mcp__claude_ai_Google_Calendar__respond_to_event ├ mcp__claude_ai_Google_Calendar__suggest_time ├ mcp__claude_ai_Google_Calendar__update_event ├ mcp__claude_ai_Google_Drive__copy_file ├ mcp__claude_ai_Google_Drive__create_file ├ mcp__claude_ai_Google_Drive__download_file_content ├ mcp__claude_ai_Google_Drive__get_file_metadata ├ mcp__claude_ai_Google_Drive__get_file_permissions ├ mcp__claude_ai_Google_Drive__list_recent_files ├ mcp__claude_ai_Google_Drive__read_file_content ├ mcp__claude_ai_Google_Drive__search_files ├ mcp__claude_ai_Netlify__get-netlify-coding-context ├ mcp__claude_ai_Netlify__netlify-deploy-services-reader ├ mcp__claude_ai_Netlify__netlify-deploy-services-updater ├ mcp__claude_ai_Netlify__netlify-extension-services-reader ├ mcp__claude_ai_Netlify__netlify-extension-services-updater ├ mcp__claude_ai_Netlify__netlify-project-services-reader ├ mcp__claude_ai_Netlify__netlify-project-services-updater ├ mcp__claude_ai_Netlify__netlify-team-services-reader ├ mcp__claude_ai_Netlify__netlify-user-services-reader ├ mcp__claude_ai_Notion__fetch ├ mcp__claude_ai_Notion__notion-create-comment ├ mcp__claude_ai_Notion__notion-create-database ├ mcp__claude_ai_Notion__notion-create-pages ├ mcp__claude_ai_Notion__notion-create-view ├ mcp__claude_ai_Notion__notion-duplicate-page ├ mcp__claude_ai_Notion__notion-get-comments ├ mcp__claude_ai_Notion__notion-get-teams ├ mcp__claude_ai_Notion__notion-get-users ├ mcp__claude_ai_Notion__notion-move-pages ├ mcp__claude_ai_Notion__notion-update-data-source ├ mcp__claude_ai_Notion__notion-update-page ├ mcp__claude_ai_Notion__notion-update-view ├ mcp__claude_ai_Notion__search ├ mcp__claude_ai_Slack__slack_add_reaction ├ mcp__claude_ai_Slack__slack_create_canvas ├ mcp__claude_ai_Slack__slack_get_reactions ├ mcp__claude_ai_Slack__slack_list_channel_members ├ mcp__claude_ai_Slack__slack_read_canvas ├ mcp__claude_ai_Slack__slack_read_channel ├ mcp__claude_ai_Slack__slack_read_file ├ mcp__claude_ai_Slack__slack_read_thread ├ mcp__claude_ai_Slack__slack_read_user_profile ├ mcp__claude_ai_Slack__slack_schedule_message ├ mcp__claude_ai_Slack__slack_search_channels ├ mcp__claude_ai_Slack__slack_search_emojis ├ mcp__claude_ai_Slack__slack_search_public ├ mcp__claude_ai_Slack__slack_search_public_and_private ├ mcp__claude_ai_Slack__slack_search_users ├ mcp__claude_ai_Slack__slack_send_message ├ mcp__claude_ai_Slack__slack_send_message_draft ├ mcp__claude_ai_Slack__slack_update_canvas ├ mcp__claude_ai_Superhuman_Mail__authenticate ├ mcp__claude_ai_Superhuman_Mail__complete_authentication ├ mcp__claude_ai_Vercel__add_toolbar_reaction ├ mcp__claude_ai_Vercel__change_toolbar_thread_resolve_status ├ mcp__claude_ai_Vercel__check_domain_availability_and_price ├ mcp__claude_ai_Vercel__deploy_to_vercel ├ mcp__claude_ai_Vercel__edit_toolbar_message ├ mcp__claude_ai_Vercel__get_access_to_vercel_url ├ mcp__claude_ai_Vercel__get_deployment ├ mcp__claude_ai_Vercel__get_deployment_build_logs ├ mcp__claude_ai_Vercel__get_project ├ mcp__claude_ai_Vercel__get_runtime_logs ├ mcp__claude_ai_Vercel__get_toolbar_thread ├ mcp__claude_ai_Vercel__list_deployments ├ mcp__claude_ai_Vercel__list_projects ├ mcp__claude_ai_Vercel__list_teams ├ mcp__claude_ai_Vercel__list_toolbar_threads ├ mcp__claude_ai_Vercel__reply_to_toolbar_thread ├ mcp__claude_ai_Vercel__search_vercel_documentation ├ mcp__claude_ai_Vercel__web_fetch_vercel_url ├ mcp__claude-in-chrome__browser_batch ├ mcp__claude-in-chrome__computer ├ mcp__claude-in-chrome__file_upload ├ mcp__claude-in-chrome__find ├ mcp__claude-in-chrome__form_input ├ mcp__claude-in-chrome__get_page_text ├ mcp__claude-in-chrome__gif_creator ├ mcp__claude-in-chrome__javascript_tool ├ mcp__claude-in-chrome__list_connected_browsers ├ mcp__claude-in-chrome__navigate ├ mcp__claude-in-chrome__read_console_messages ├ mcp__claude-in-chrome__read_network_requests ├ mcp__claude-in-chrome__read_page ├ mcp__claude-in-chrome__resize_window ├ mcp__claude-in-chrome__select_browser ├ mcp__claude-in-chrome__shortcuts_execute ├ mcp__claude-in-chrome__shortcuts_list ├ mcp__claude-in-chrome__switch_browser ├ mcp__claude-in-chrome__tabs_close_mcp ├ mcp__claude-in-chrome__tabs_context_mcp ├ mcp__claude-in-chrome__tabs_create_mcp ├ mcp__claude-in-chrome__upload_image ├ mcp__claude-peers__check_messages ├ mcp__claude-peers__list_peers ├ mcp__claude-peers__send_message ├ mcp__claude-peers__set_summary ├ mcp__clickminded-sop__get_topic ├ mcp__clickminded-sop__list_topics ├ mcp__clickminded-sop__search_sop ├ mcp__content-sop__get_topic ├ mcp__content-sop__list_topics ├ mcp__content-sop__search_sop ├ mcp__dev-sop__get_topic ├ mcp__dev-sop__list_topics ├ mcp__dev-sop__search_sop ├ mcp__dfy-service-form__get_topic ├ mcp__dfy-service-form__list_topics ├ mcp__dfy-service-form__search_sop ├ mcp__ghl-sop__get_topic ├ mcp__ghl-sop__list_topics ├ mcp__ghl-sop__search_sop ├ mcp__links-sop__dfseo_backlinks_overview ├ mcp__links-sop__get_topic ├ mcp__links-sop__list_topics ├ mcp__links-sop__search_sop ├ mcp__local-sop__dfseo_gmb_data ├ mcp__local-sop__dfseo_gmb_reviews ├ mcp__local-sop__get_topic ├ mcp__local-sop__list_topics ├ mcp__local-sop__search_sop ├ mcp__mem0__add_memory ├ mcp__mem0__delete_all_memories ├ mcp__mem0__delete_entities ├ mcp__mem0__delete_memory ├ mcp__mem0__get_memories ├ mcp__mem0__get_memory ├ mcp__mem0__list_entities ├ mcp__mem0__search_memories ├ mcp__mem0__update_memory ├ mcp__merlino-sops__get_topic ├ mcp__merlino-sops__list_categories ├ mcp__merlino-sops__list_topics ├ mcp__merlino-sops__search ├ mcp__meta-ads-sop__get_topic ├ mcp__meta-ads-sop__list_topics ├ mcp__meta-ads-sop__search_sop ├ mcp__pieces__anchor_point_snapshot ├ mcp__pieces__anchor_points_batch_snapshot ├ mcp__pieces__anchor_snapshot ├ mcp__pieces__anchors_batch_snapshot ├ mcp__pieces__anchors_full_text_search ├ mcp__pieces__annotation_snapshot ├ mcp__pieces__annotations_batch_snapshot ├ mcp__pieces__annotations_full_text_search ├ mcp__pieces__ask_memory ├ mcp__pieces__ask_pieces_ltm ├ mcp__pieces__browser_activity ├ mcp__pieces__browser_lookup ├ mcp__pieces__connector_snapshot ├ mcp__pieces__connectors_batch_snapshot ├ mcp__pieces__connectors_full_text_search ├ mcp__pieces__conversation_message_snapshot ├ mcp__pieces__conversation_messages_batch_snapshot ├ mcp__pieces__conversation_messages_full_text_search ├ mcp__pieces__conversation_snapshot ├ mcp__pieces__conversations_batch_snapshot ├ mcp__pieces__conversations_full_text_search ├ mcp__pieces__create_gcal_event ├ mcp__pieces__create_pieces_memory ├ mcp__pieces__delete_gcal_event ├ mcp__pieces__extract_temporal_range ├ mcp__pieces__filesystem_read_chunk ├ mcp__pieces__filesystem_search_paths ├ mcp__pieces__filesystem_search_text ├ mcp__pieces__get_gcal_event ├ mcp__pieces__get_gcal_events ├ mcp__pieces__get_user_persona ├ mcp__pieces__hint_snapshot ├ mcp__pieces__hints_batch_snapshot ├ mcp__pieces__hints_full_text_search ├ mcp__pieces__hints_vector_search ├ mcp__pieces__list_gcal_connectors ├ mcp__pieces__material_identifiers ├ mcp__pieces__materials_vector_search ├ mcp__pieces__patch_gcal_event ├ mcp__pieces__person_snapshot ├ mcp__pieces__persons_batch_snapshot ├ mcp__pieces__persons_full_text_search ├ mcp__pieces__range_snapshot ├ mcp__pieces__ranges_batch_snapshot ├ mcp__pieces__search_memory ├ mcp__pieces__tag_snapshot ├ mcp__pieces__tags_batch_snapshot ├ mcp__pieces__tags_full_text_search ├ mcp__pieces__tags_vector_search ├ mcp__pieces__time_compute ├ mcp__pieces__web_search ├ mcp__pieces__website_snapshot ├ mcp__pieces__websites_batch_snapshot ├ mcp__pieces__websites_full_text_search ├ mcp__pieces__workstream_event_snapshot ├ mcp__pieces__workstream_events_batch_snapshot ├ mcp__pieces__workstream_events_full_text_search ├ mcp__pieces__workstream_events_vector_search ├ mcp__pieces__workstream_summaries_batch_snapshot ├ mcp__pieces__workstream_summaries_full_text_search ├ mcp__pieces__workstream_summaries_vector_search ├ mcp__pieces__workstream_summary_snapshot ├ mcp__pieces__wpe_source_snapshot ├ mcp__pieces__wpe_source_window_snapshot ├ mcp__pieces__wpe_source_windows_batch_snapshot ├ mcp__pieces__wpe_source_windows_full_text_search ├ mcp__pieces__wpe_sources_batch_snapshot ├ mcp__pieces__wpe_sources_full_text_search ├ mcp__plugin_context7_context7__query-docs ├ mcp__plugin_context7_context7__resolve-library-id ├ mcp__plugin_github_github__add_comment_to_pending_review ├ mcp__plugin_github_github__add_issue_comment ├ mcp__plugin_github_github__add_reply_to_pull_request_comment ├ mcp__plugin_github_github__create_branch ├ mcp__plugin_github_github__create_or_update_file ├ mcp__plugin_github_github__create_pull_request ├ mcp__plugin_github_github__create_repository ├ mcp__plugin_github_github__delete_file ├ mcp__plugin_github_github__fork_repository ├ mcp__plugin_github_github__get_commit ├ mcp__plugin_github_github__get_file_contents ├ mcp__plugin_github_github__get_label ├ mcp__plugin_github_github__get_latest_release ├ mcp__plugin_github_github__get_me ├ mcp__plugin_github_github__get_release_by_tag ├ mcp__plugin_github_github__get_tag ├ mcp__plugin_github_github__get_team_members ├ mcp__plugin_github_github__get_teams ├ mcp__plugin_github_github__issue_read ├ mcp__plugin_github_github__issue_write ├ mcp__plugin_github_github__list_branches ├ mcp__plugin_github_github__list_commits ├ mcp__plugin_github_github__list_issue_types ├ mcp__plugin_github_github__list_issues ├ mcp__plugin_github_github__list_pull_requests ├ mcp__plugin_github_github__list_releases ├ mcp__plugin_github_github__list_tags ├ mcp__plugin_github_github__merge_pull_request ├ mcp__plugin_github_github__pull_request_read ├ mcp__plugin_github_github__pull_request_review_write ├ mcp__plugin_github_github__push_files ├ mcp__plugin_github_github__request_copilot_review ├ mcp__plugin_github_github__run_secret_scanning ├ mcp__plugin_github_github__search_code ├ mcp__plugin_github_github__search_issues ├ mcp__plugin_github_github__search_pull_requests ├ mcp__plugin_github_github__search_repositories ├ mcp__plugin_github_github__search_users ├ mcp__plugin_github_github__sub_issue_write ├ mcp__plugin_github_github__update_pull_request ├ mcp__plugin_github_github__update_pull_request_branch ├ mcp__plugin_honcho_honcho__chat ├ mcp__plugin_honcho_honcho__create_conclusion ├ mcp__plugin_honcho_honcho__delete_conclusion ├ mcp__plugin_honcho_honcho__get_config ├ mcp__plugin_honcho_honcho__get_context ├ mcp__plugin_honcho_honcho__get_representation ├ mcp__plugin_honcho_honcho__list_conclusions ├ mcp__plugin_honcho_honcho__search ├ mcp__plugin_honcho_honcho__set_config ├ mcp__plugin_supabase_supabase__authenticate ├ mcp__plugin_supabase_supabase__complete_authentication ├ mcp__plugin_vercel_vercel__authenticate ├ mcp__plugin_vercel_vercel__complete_authentication ├ mcp__seo-sop__dfseo_content_analysis ├ mcp__seo-sop__dfseo_domain_overview ├ mcp__seo-sop__dfseo_keyword_volume ├ mcp__seo-sop__dfseo_llm_mentions ├ mcp__seo-sop__dfseo_onpage_audit ├ mcp__seo-sop__dfseo_rank_tracking ├ mcp__seo-sop__dfseo_serp_organic ├ mcp__seo-sop__dfseo_serp_paa ├ mcp__seo-sop__get_topic ├ mcp__seo-sop__list_topics ├ mcp__seo-sop__search_sop ├ mcp__site-sop__get_topic ├ mcp__site-sop__list_topics ├ mcp__site-sop__search_sop ├ mcp__telephony-sop__get_topic ├ mcp__telephony-sop__list_topics ├ mcp__telephony-sop__search_sop ├ mcp__video-sop__get_topic ├ mcp__video-sop__list_topics ├ mcp__video-sop__search_sop ├ mcp__wp-sop__get_topic ├ mcp__wp-sop__list_topics └ mcp__wp-sop__search_sop Custom agents · /agents User ├ vox: 254 tokens ├ dan: 144 tokens ├ gino: 136 tokens ├ ava: 116 tokens ├ einstein: 78 tokens ├ hawkeye: 76 tokens ├ matteo-jr: 72 tokens ├ queen: 72 tokens ├ sherlock: 72 tokens ├ memz: 68 tokens ├ carlos: 66 tokens ├ knox: 62 tokens ├ tommy: 61 tokens ├ linx: 58 tokens ├ oliver: 57 tokens ├ merlin: 54 tokens ├ raven: 52 tokens ├ cody: 49 tokens ├ picasso: 48 tokens ├ frankie: 47 tokens ├ ghost: 46 tokens ├ spielberg: 46 tokens ├ willie: 46 tokens └ shakespeare: 44 tokens Plugin ├ vercel:deployment-expert: 112 tokens ├ vercel:performance-optimizer: 110 tokens ├ vercel:ai-architect: 107 tokens ├ understand-anything:knowledge-graph-guide: 99 tokens ├ understand-anything:file-analyzer: 97 tokens ├ feature-dev:code-reviewer: 86 tokens ├ feature-dev:code-architect: 85 tokens ├ understand-anything:article-analyzer: 83 tokens ├ understand-anything:assemble-reviewer: 83 tokens ├ feature-dev:code-explorer: 79 tokens ├ understand-anything:domain-analyzer: 79 tokens ├ code-simplifier:code-simplifier: 76 tokens ├ understand-anything:architecture-analyzer: 72 tokens ├ understand-anything:graph-reviewer: 69 tokens ├ understand-anything:project-scanner: 68 tokens └ understand-anything:tour-builder: 68 tokens Memory files · /memory ├ C:\Users\mikem.claude\CLAUDE.md: 3.6k tokens ├ C:\Users\mikem.claude\rules\auto-validation-on-delivery.md: 866 tokens ├ C:\Users\mikem.claude\rules\cli-first-routing.md: 1.3k tokens ├ C:\Users\mikem.claude\rules\media-routing-table.md: 2.2k tokens ├ C:\Users\mikem.claude\rules\no-em-dashes.md: 786 tokens ├ C:\Users\mikem.claude\rules\oliver-soul.md: 4.4k tokens ├ C:\Users\mikem.claude\rules\one-brain-project.md: 373 tokens ├ C:\Users\mikem.claude\rules\parallel-operations.md: 435 tokens ├ C:\Users\mikem.claude\rules\powd-mandatory.md: 682 tokens ├ C:\Users\mikem.claude\rules\sparc-phase-gates.md: 766 tokens ├ C:\Users\mikem.claude\rules\witness-curator-attestation.md: 922 tokens └ C:\Users\mikem.claude\projects\D--ClaudeDev\memory\MEMORY.md: 7.6k tokens Skills · /skills User ├ ui-ux-pro-max: ~310 tokens ├ scrapecreators-api: ~230 tokens ├ ckm:design: ~210 tokens ├ reddit-ai-traffic: ~190 tokens ├ signalwire-call-intelligence: ~170 tokens ├ ckm:banner-design: ~170 tokens ├ ckm:ui-styling: ~170 tokens ├ vercel-api: ~160 tokens ├ site-structure-generator: ~160 tokens ├ full-website-writer: ~140 tokens ├ brand-collector: ~140 tokens ├ lowfruit-article-writer: ~140 tokens ├ featured-snippet-optimizer: ~140 tokens ├ page-content-enricher: ~140 tokens ├ tone-library: ~140 tokens ├ blog-headline-generator: ~130 tokens ├ paa-content-writer: ~130 tokens ├ landing-page-builder: ~130 tokens ├ claude-md-management: ~130 tokens ├ kw-content-planner: ~130 tokens ├ content-refiner: ~130 tokens ├ serp-intent-analyzer: ~130 tokens ├ deepseek-cli: ~130 tokens ├ landing-page-generator: ~130 tokens ├ signalwire-agents-sdk: ~130 tokens ├ ai-overview-rewriter: ~130 tokens ├ article-outranker: ~130 tokens ├ faq-generator: ~130 tokens ├ faq-paa-writer: ~130 tokens ├ bio-description: ~130 tokens ├ keyword-research: ~130 tokens ├ landing-page-optimizer: ~130 tokens ├ signalwire-call-flow-builder: ~130 tokens ├ professional-article-writer: ~120 tokens ├ social-media-from-page: ~120 tokens ├ multi-brand-website-deployer: ~120 tokens ├ autopilot: ~120 tokens ├ snippet-paa-gmb-content: ~120 tokens ├ press-release-writer: ~120 tokens ├ seo-article-writer: ~120 tokens ├ thanos-optimizer: ~120 tokens ├ b2b-ai-search-growth-system: ~120 tokens ├ schema-spider: ~120 tokens ├ citation-finder: ~120 tokens ├ editorial-article-writer: ~120 tokens ├ seo-landing-page-creator: ~120 tokens ├ brand-guideline-generator: ~120 tokens ├ branded-image-from-text: ~120 tokens ├ content-humanizer: ~120 tokens ├ find-topics-to-write: ~120 tokens ├ press-release-generator: ~120 tokens ├ training-session-planner: ~120 tokens ├ ai-content-detector: ~120 tokens ├ 404-redirect-mapper: ~120 tokens ├ openclaw-vps-operator: ~110 tokens ├ toneprint-analyzer: ~110 tokens ├ brand-event-planner: ~110 tokens ├ social-media-strategist: ~110 tokens ├ sitemap-analyzer: ~110 tokens ├ add-sources: ~110 tokens ├ business-analysis: ~110 tokens ├ highlight-text: ~110 tokens ├ page-optimizer: ~110 tokens ├ performance-agent: ~110 tokens ├ website-structure-planner: ~110 tokens ├ apa-citation-finder: ~110 tokens ├ auto-schema-from-template: ~110 tokens ├ infographic-generator: ~110 tokens ├ article-rewriter: ~110 tokens ├ hero-image-from-page: ~110 tokens ├ signalwire-integrations: ~110 tokens ├ paa-researcher: ~110 tokens ├ page-faq-generator: ~110 tokens ├ meta-title-description: ~110 tokens ├ ai-content-sniffer: ~110 tokens ├ sop-formatter: ~110 tokens ├ technical-seo-agent: ~110 tokens ├ kw-generator: ~100 tokens ├ schema-generator: ~100 tokens ├ content-formatter: ~100 tokens ├ deployment-agent: ~100 tokens ├ ckm:design-system: ~100 tokens ├ logo-generator: ~100 tokens ├ clickup-ops: ~100 tokens ├ creative-strategy-storming: ~100 tokens ├ landing-page-writer: ~100 tokens ├ tweet-generator: ~90 tokens ├ qa-validation: ~90 tokens ├ swml-swaig: ~90 tokens ├ advisory-board: ~80 tokens ├ cli-anything: ~80 tokens ├ swml-ai-config: ~80 tokens ├ parallel-worktree-agents: ~80 tokens ├ byterover-cli: ~80 tokens ├ pause: ~70 tokens ├ pause: ~70 tokens ├ code-reviewer: ~70 tokens ├ scientific-prototype-translation: ~70 tokens ├ merlino-voice: ~70 tokens ├ browser-visualization-prototypes: ~70 tokens ├ matlab-numerical-computing: ~70 tokens ├ windows-admin-scripting: ~60 tokens ├ ckm:brand: ~60 tokens ├ tsql-reporting-and-admin: ~60 tokens ├ data-structures-patterns: ~60 tokens ├ powershell-automation: ~60 tokens ├ relational-thinking-foundations: ~60 tokens ├ seo-forensic-incident-response: ~60 tokens ├ spreadsheet-process-automation: ~60 tokens ├ algorithms-fundamentals: ~60 tokens ├ legacy-apple-code-migration: ~60 tokens ├ social-transcript-extractor: ~60 tokens ├ dotnet-language-patterns: ~60 tokens ├ query-classification-content-mapper: ~60 tokens ├ sql-server-practical: ~60 tokens ├ intent-behind-intent: ~60 tokens ├ legacy-dotnet-migration: ~60 tokens ├ orm-data-access-patterns: ~60 tokens ├ relational-schema-and-querying: ~60 tokens ├ before-after-image-generator: ~60 tokens ├ creatify-production: ~60 tokens ├ dotnet-entity-framework: ~60 tokens ├ frontend-animation: ~60 tokens ├ html5-canvas-graphics: ~60 tokens ├ jquery-legacy-maintenance: ~60 tokens ├ merlino-magic-blog-framework: ~60 tokens ├ meta-ads-library-scraping: ~60 tokens ├ objective-c-maintenance: ~60 tokens ├ assemblyai-transcription: ~60 tokens ├ competitor-analysis: ~60 tokens ├ content-mastery: ~60 tokens ├ dataforseo-llm-mentions: ~60 tokens ├ ffmpeg-agent: ~60 tokens ├ git-recovery-and-history: ~60 tokens ├ gws-follow-up-automation: ~60 tokens ├ incident-response: ~60 tokens ├ jvm-backend-maintenance: ~60 tokens ├ link-building-router: ~60 tokens ├ local-seo-site-builder: ~60 tokens ├ ralph-loop-force-continuation: ~60 tokens ├ backlink-analyzer: ~60 tokens ├ cracking-private-api: ~60 tokens ├ elementor-expert: ~60 tokens ├ expired-domain-pbn-builder: ~60 tokens ├ git-backed-agent-memory: ~60 tokens ├ git-practical-workflows: ~60 tokens ├ gws-project-manager: ~60 tokens ├ intent-analyzer: ~60 tokens ├ perplexity-research: ~60 tokens ├ semantic-web-foundations: ~60 tokens ├ skill-creator-anthropic: ~60 tokens ├ stateful-agent-evals: ~60 tokens ├ vbnet-maintenance: ~60 tokens ├ ai-video-pipeline: ~60 tokens ├ backup-chats: ~60 tokens ├ brand-assets-setup: ~60 tokens ├ content-variation-engine: ~60 tokens ├ conversion-optimizer: ~60 tokens ├ creatify-custom-avatar: ~60 tokens ├ dataforseo-content-analysis: ~60 tokens ├ dataforseo-onpage: ~60 tokens ├ docker-mastery: ~60 tokens ├ dotnet-csharp-core: ~60 tokens ├ email-sequence: ~60 tokens ├ excel-vba-automation: ~60 tokens ├ faqs-creative-paa-writer: ~60 tokens ├ hindsight-architect: ~60 tokens ├ legacy-web-migration: ~60 tokens ├ office-macro-workflows: ~60 tokens ├ take-the-wheel: ~60 tokens ├ brand-project-master: ~50 tokens ├ cli-hub-meta-skill: ~50 tokens ├ content-ops: ~50 tokens ├ copywriting: ~50 tokens ├ core-web-vitals: ~50 tokens ├ doc-check-agent: ~50 tokens ├ entity-seo: ~50 tokens ├ frontend-design: ~50 tokens ├ gmb-maps-expert: ~50 tokens ├ java-core-language: ~50 tokens ├ keyword-researcher: ~50 tokens ├ node-cli-and-automation: ~50 tokens ├ seo-master-framework: ~50 tokens ├ server-ops-foundations: ~50 tokens ├ tailwind-plus-ui: ~50 tokens ├ clawcontrol: ~50 tokens ├ cloudagent: ~50 tokens ├ cold-sms-engine: ~50 tokens ├ content-gap-analysis: ~50 tokens ├ dom-detailer: ~50 tokens ├ github-actions-mastery: ~50 tokens ├ graphify-windows: ~50 tokens ├ gws-calendar: ~50 tokens ├ hindsight-docs: ~50 tokens ├ javascript-core-language: ~50 tokens ├ local-destroyers-seo: ~50 tokens ├ merlino-magic-blog: ~50 tokens ├ outreach-prospecting: ~50 tokens ├ research-pipeline: ~50 tokens ├ scaffold-app: ~50 tokens ├ schema-stack: ~50 tokens ├ self-improve: ~50 tokens ├ server-hardening: ~50 tokens ├ toneprint: ~50 tokens ├ unix-automation-scripts: ~50 tokens ├ vba-core-automation: ~50 tokens ├ ai-llm-seo: ~50 tokens ├ article-pipeline: ~50 tokens ├ cpanel-expert: ~50 tokens ├ creatify: ~50 tokens ├ dataforseo-gmb: ~50 tokens ├ eeat-audit: ~50 tokens ├ gws-drive-audit: ~50 tokens ├ helpful-content-audit: ~50 tokens ├ internal-linking-optimizer: ~50 tokens ├ scriptwriter: ~50 tokens ├ sql-core-querying: ~50 tokens ├ ui-review: ~50 tokens ├ visual-qa-loop: ~50 tokens ├ wordpress-expert: ~50 tokens ├ cloud-stack: ~50 tokens ├ dataforseo-serp: ~50 tokens ├ diagram-generator: ~50 tokens ├ document-data-modeling: ~50 tokens ├ gmb-image: ~50 tokens ├ html5-core-markup: ~50 tokens ├ nodejs-backend-core: ~50 tokens ├ pr-plan: ~50 tokens ├ rapidapi-tools: ~50 tokens ├ video-seo-sop: ~50 tokens ├ mobile-proxy: ~50 tokens ├ 7-day-content: ~50 tokens ├ ad-designer: ~50 tokens ├ dataforseo-keywords: ~50 tokens ├ gws-meeting-prep: ~50 tokens ├ gws-weekly-report: ~50 tokens ├ koray-semantic-seo-master: ~50 tokens ├ location-page-builder: ~50 tokens ├ long-form-video-seo-2026: ~50 tokens ├ mainwp: ~50 tokens ├ pdf-to-md: ~50 tokens ├ plan: ~50 tokens ├ protonvpn-proxy: ~50 tokens ├ site-polish: ~50 tokens ├ visual-clone: ~50 tokens ├ async-js-patterns: ~50 tokens ├ ctr-ops: ~50 tokens ├ fix: ~50 tokens ├ gws-gmail: ~50 tokens ├ gws-sheets: ~50 tokens ├ mysql-practical: ~50 tokens ├ nano-banana: ~50 tokens ├ radar: ~50 tokens ├ ckm:slides: ~50 tokens ├ sop-site: ~50 tokens ├ yt: ~50 tokens ├ claude-api: ~50 tokens ├ linux-cli-core: ~50 tokens ├ mongodb-practical: ~50 tokens ├ shell-bash-core: ~50 tokens ├ load-bundle: ~50 tokens ├ playwright-cli: ~50 tokens ├ t2s: ~50 tokens ├ resume: ~50 tokens ├ seo-audit: ~50 tokens ├ resume: ~50 tokens ├ gws-daily-standup: ~50 tokens ├ koray-topical-map: ~50 tokens ├ build: ~40 tokens ├ codex-reference: ~40 tokens ├ gws-email-triage: ~40 tokens ├ convex-db: ~40 tokens ├ section-blocks: ~40 tokens ├ powd: ~40 tokens ├ shadcn-blocks: ~40 tokens ├ dev:design-app: ~40 tokens ├ dev:implement-app: ~30 tokens ├ api-tools: ~30 tokens ├ vercel-urls: ~30 tokens ├ implement: < 20 tokens ├ sync: < 20 tokens ├ test: < 20 tokens ├ ralph-prd-executor: < 20 tokens ├ local-seo-builder: < 20 tokens ├ pull_request: < 20 tokens ├ start: < 20 tokens ├ silver-platter: < 20 tokens ├ clean_worktree: < 20 tokens ├ prd-generator: < 20 tokens ├ commit: < 20 tokens ├ yt-transcript: < 20 tokens ├ local-fetch: < 20 tokens ├ backup-chats: < 20 tokens ├ document: < 20 tokens ├ feature: < 20 tokens ├ install: < 20 tokens ├ tools: < 20 tokens ├ gemini-cli: < 20 tokens ├ sop-site: < 20 tokens ├ wrap: < 20 tokens ├ bug: < 20 tokens ├ build: < 20 tokens ├ patch: < 20 tokens ├ youtube: < 20 tokens ├ prime: < 20 tokens ├ review: < 20 tokens └ plan: < 20 tokens Plugin (code-review) └ code-review:code-review: < 20 tokens Plugin (feature-dev) └ feature-dev:feature-dev: ~30 tokens Plugin (frontend-design) └ frontend-design: ~90 tokens Plugin (honcho) ├ honcho:interview: ~40 tokens ├ honcho:setup: ~30 tokens ├ honcho:config: ~20 tokens └ honcho:status: ~20 tokens Plugin (skill-creator) └ skill-creator: ~120 tokens Plugin (supabase) ├ supabase: ~160 tokens └ supabase-postgres-best-practices: ~80 tokens Plugin (superpowers) ├ receiving-code-review: ~90 tokens ├ verification-before-completion: ~90 tokens ├ finishing-a-development-branch: ~80 tokens ├ using-git-worktrees: ~80 tokens ├ brainstorming: ~80 tokens ├ using-superpowers: ~60 tokens ├ dispatching-parallel-agents: ~50 tokens ├ requesting-code-review: ~50 tokens ├ executing-plans: ~40 tokens ├ subagent-driven-development: ~40 tokens ├ systematic-debugging: ~40 tokens ├ writing-skills: ~40 tokens ├ test-driven-development: ~40 tokens └ writing-plans: ~40 tokens Plugin (understand-anything) ├ understand-domain: ~80 tokens ├ understand-knowledge: ~70 tokens ├ understand: ~50 tokens ├ understand-diff: ~50 tokens ├ understand-explain: ~50 tokens ├ understand-chat: ~40 tokens ├ understand-onboard: ~40 tokens └ understand-dashboard: ~40 tokens Plugin (vercel) ├ shadcn: ~110 tokens ├ vercel-firewall: ~110 tokens ├ marketplace: ~100 tokens ├ chat-sdk: ~100 tokens ├ bootstrap: ~100 tokens ├ next-cache-components: ~90 tokens ├ nextjs: ~90 tokens ├ auth: ~90 tokens ├ ai-sdk: ~90 tokens ├ routing-middleware: ~90 tokens ├ react-best-practices: ~80 tokens ├ runtime-cache: ~80 tokens ├ vercel-functions: ~80 tokens ├ workflow: ~80 tokens ├ vercel-sandbox: ~80 tokens ├ next-forge: ~80 tokens ├ vercel-agent: ~80 tokens ├ vercel-cli: ~80 tokens ├ verification: ~70 tokens ├ vercel-storage: ~70 tokens ├ deployments-cicd: ~70 tokens ├ next-upgrade: ~70 tokens ├ deployments-cicd: ~70 tokens ├ next-upgrade: ~70 tokens ├ vercel:bootstrap: ~70 tokens ├ vercel:env: ~60 tokens ├ vercel:env: ~60 tokens ├ turbopack: ~60 tokens ├ ai-gateway: ~60 tokens ├ ai-gateway: ~60 tokens ├ env-vars: ~60 tokens ├ vercel:marketplace: ~60 tokens ├ vercel:deploy: ~50 tokens ├ knowledge-update: ~50 tokens └ vercel:status: ~40 tokens Built-in ├ claude-api: ~250 tokens ├ update-config: ~240 tokens ├ schedule: ~130 tokens ├ loop: ~110 tokens ├ keybindings-help: ~80 tokens ├ fewer-permission-prompts: ~60 tokens ├ simplify: ~30 tokens ├ security-review: ~30 tokens ├ init: ~20 tokens └ review: < 20 tokens

[Editor Content] File Edit Selection View Go Run Terminal Help VIDEO-TOOLS - ranking-reels - .gitignore - blob-omegaindexer-v2-nanobanana-classic-2026-05-15.json - all-urls-2026-05-15.json TERMINAL Claude Code A - Every render returned ["Not enough credits"] - Creatify API balance critically low - Resume: top up Creatify re-run Other terminals: - BMM dashboards + invite flow (brand-media-manager/) - Ranking Reels review-dashboard (avatars/discover/picks pages) - Dawood/DWS audit page (Clive at https://dawood-rankingreels-audit.vercel.app/) Which lane do you want me on? 1. Resume lane 2. OmegaIndexer Pass 3 (full-frame face + Hormozi captions) 3. Dawood demo pack (15 reels) 4. Restart gallery server (port 8765) 5. Different lane / new task

[Command-Line Output] Decisions needed before either Codex terminal touches this repo: 1. Is codex/supermemory-openai still the active build branch, or has it been abandoned? 2. Do the 5 new scripts/ingest_*.py and scripts/fanout_*.py belong on this branch, or split to a new one? 3. Should the OpenClaw repair docs (.continue-here.md + docs/openclaw-ava-oscar-repair-2026-05-12.md) be cherry-picked to a separate branch? 4. Add tmp-*/ and .codex-work/ to .gitignore? 5. Push the branch to origin after cleanup, or rebase on master first? Branch: codex/supermemory-openai Status: 5 commits ahead of master, local-only. Modified, not committed: - .continue-here.md - docs/openclaw-ava-oscar-repair-2026-05-12.md Untracked: - scripts/fanout_sops_to_chroma.py - scripts/fanout_sops_to_other_backends.py - scripts/ingest_byterover_sop.py - scripts/ingest_lmstudio_sop.py - scripts/ingest_supermemory_sop.py - .codex-work/ - tmp-ava-skills-training/ - tmp-openclaw-hubstaff/

[Chat Transcript] Brian Hong (DM) - Merlino Marketing Decisions needed before either Codex terminal touches this repo: 1. Is codex/ supermemory-openai still the active build branch, or has it been abandoned? 2. Do the 5 new scripts/ ingest_*.py and scripts/ fanout_*.py belong on this branch, or split? 3. Should the OpenClaw repair docs (.continue-here.md + docs/openclaw-ava-oscar-repair-2026-05-12.md) be cherry-picked to a separate branch since they have nothing to do with Supermemory? 4. Add tmp-*/ and .codex-work/ to .gitignore? 5. Push the branch to origin after cleanup, or rebase on master first? Check on the other terminal: are either of you actively working in this repo right now, or is the work happening elsewhere (Mac OpenClaw, Hermes, etc.)? Confirm before any commit/push. Copy that, drop it in both Codex windows, and have them report back what they're each doing and whether they have local changes on top of this state. [honcho] response -4 saved response (2681 chars) L Stop says: * Cooked for 26s x recap: We're checking the state of the 'codex/ supermemory-openai' branch in master-brain to figure out where work actually stands. Next: decide what to do with the 5 untracked ingest scripts and the unrelated OpenCLaw repair docs sitting on this branch.

[Chat Transcript] I need my setup to fill a lot of gaps from the right hand side here: LAUNCH TEAMS of agents to research github, x.com, reddit, and all reliable sources for each topic here. There are 13 and how many agents should be created or which EXACT agents will cover these things: Matteo, Knox, frannkie (Front end) who is our apis and back end logic person (sounds like an Agent - Logic). Database and storage: good enough to have ALL that merged into one agent? Or Danny the Database guy. Auth and permission seems like "security"? Hosting and deployment, cloud and compute? Now what is CI/CD version control? And who would do that? Seems very important like something should have hooks and automation in place. Security and RLS, rate limiting? Caching and CDN? Load balancing and scaling? Error tracking and logs (wow so important), availability and recovery? Please give me a plan here, let's discuss before you do anything. Make sure you are referencing my agentic systems and confirm it is set up HERE like claude with 24 of my AGENTS.

[Chat Transcript] Brian Hong (DM) - Merlino Marketing Full-Stack Development Components: - Frontend - Backend - APIs & Backend Logic - Database & Storage - Auth & permissions - Hosting & Deployment - Cloud & compute - CI/CD & Version control - Security & TLS - Rate Limiting - Caching & CDN - Load Balancing & scaling - Error Tracking & Logs - Availability & Recovery @Michael Merlino

[Editor Content] Ask Codex anything. @ to use plugins or mention files + O Full access v master-brain v Work locally v V codex/supermemory-... 00 Trace master-brain's 8GB to 27GB Supabase growth and patch the cause 88 Connect your favorite apps to Codex I need my setup to fill gaps from the right hand side here

[Document Content] Downloads Name - Image from iOS - NVSP_Master_Territory_Reference_v4 - Ascend NM — Brand Reference - North valley Solar-2026051 IT212656Z-3-001 - North valley Solar-2026051 IT212539Z-3-001 - Unigram - OpenCode Desktop Installer - Web20Ranker Plan & Local Viking GeoGrid Reports

[Editor Content] What should we build in master-brain? Pinned - Fix OpenClaw out... - Fix Hermes setup Projects - VIDEO-TOOLS - master-brain - Review OpenAI A... - Compare memory... - DASHBOARDs - Review gist - Inspect Open-Ge... - Audit live domains - domain-portfo... Ask Codex anything. @ to use plugins or mention files Task: Trace master-brain's 8GB to 27GB Supabase growth and patch the cause

[Editor Content] Codex Interface Active Tasks: - Fix OpenClaw outage - Fix Hermes setup Recent Files: - windows-crash-diagnostics-2026-05-16.md - log.md - fleet-overview.md Project Context: - master-brain: Trace 8GB to 27GB Supabase growth and patch the cause. - VIDEO-TOOLS: Intel Ox12F guidance, ASRock Z790-C support/specs. Git Status: - Edited 3 files: windows-crash-diagnostics-2026-05-16.md, log.md, fleet-overview.md - Changes: +859 -29

[Command-Line Output] Describe what you are looking for Vibe Coders Think Full-Stack Production

[File Explorer Content] Downloads Name | Date modified | Type | Size NVSP_Master_Territory_Reference_v4 | 5/16/2026 11:03 AM | JPG File | 182 KB Ascend NM — Brand Reference | 5/14/2026 12:28 PM | Microsoft Excel Worksheet | 493 KB North valley Solar-2026051 IT212656Z-3-001 | 5/14/2026 12:28 PM | PNG File | 60 KB North valley Solar-2026051 IT212539Z-3-001 | 5/12/2026 7:28 PM | Adobe Acrobat Document | 209 KB Web20Ranker Plan & Local Viking GeoGrid Reports | 5/11/2026 5:27 PM | Compressed (Zipped) Folder | 279 KB OpenCode Desktop Installer | 5/9/2026 4:12 PM | Application | 23,451 KB

[Document Content] Frontend Backend APIs & Backend Logic Database & Storage Auth & Permissions Hosting & Deployment Cloud & Compute CI/CD & Version Control Security & RLS Rate Limiting Caching & CDN Load Balancing & Scaling Error

[Chat Transcript] Brian Hong: Also had a three-way call with Dimitry with this client of theirs or ours, I guess. They have seven locations in total. Brian Hong: For this, we're going to pitch them a business intelligence dashboard purely based on performance, custom to their KPIs, so they can track every single channel as well as get additional beneficial KPIs. If they like it, they will pay 10k. Plus I'm thinking $1,000 per month recurring. They have 7 locations, and I would like to try and do $1K per month for each location. I propose we pitch them a performance-based if we improve their rankings for the Beverly Hills location. They pay us $5k per month. They're spending about 7,500 per month on Google Ads, so I'm hoping we can replicate a similar level of success in terms of leads with their GMB. Michael Merlino: OMG yes! this is crazy bro....... there website is so ugly. These people will be a DREAM to work with. I might have to Cali to help coordinate a video shoot, is that business write off. lol Brian Hong: These people at Beverly Hills Dental Group have money, and they keep on opening up new locations. They're also starting an e-commerce energy drink company that I'm going to try and pitch equity and rough share on as well, depending on circumstances. @Michael Merlino Brian Hong: Can you do a geo-grid check for this Beverly Hills location in SEO Neo to see how much room for improvement they have? @Michael Merlino Brian Hong: Also need to beef up the team at Magister Digital. Need to get full stack team.

[Chat Transcript] Merlino Marketing - Slack Direct messages: - Andrew Winegeart - Brian Hong

[Chat Transcript] uning/ (May 12 OpenClaw scratch, probably gitignore) fff/ (May 12 OpenClaw plugin backup copies, probably gitignore) Are either Codex terminal touches this repo: - Is try-openai still the active build branch, or has it been abandoned? - Do scripts/ingest_*.py and scripts/fanout_*.py belong on this branch, or split to a new one? - Should repair docs (.continue-here.md + docs/openclaw-ava-oscar-repair-2026-05-12.md) be cherry-picked since they have nothing to do with Supermemory? - Add codex-work/ to .gitignore? - Push to origin after cleanup, or rebase on master first? Terminal: Are either of you actively working in this repo right now, or is the work happening elsewhere (OpenClaw, Hermes, etc.)? Confirm before any commit/push. Check both Codex windows, and have them report back what they're each doing and whether they have knowledge of this state.

[Editor Content] Thinking 1 file changed +5 -4 Review here @ Running ssh.exe -o BatchMode=yes -o ConnectTimeout=8 vps3 'Is -ld N/.codex —/.codex/agent... The first remote apply synced the source trees but I caught a miss in the live runtime mirrors: agent-memory landed under N/ecosystem, but N/.claude/agents/workspaces and N/.codex/agents/workspaces stayed empty on the Unix machines. I'm applying that mirror step now and checking the Mac Codex agents path, which looks like a link/path mismatch. @ Ran $ErrorActionPreference='Stop' $stamp = Get-Date -Format 'yyyyMMdd-HHmmss' $base = "... The package build hit a robocopy failure on Codex skills, likely from a junction or locked path. I'm rebuilding the package with junction traversal disabled so it doesn't chase runtime links. @ Ran 2 commands Built a 7.6 MB no-delete sync package with agents, agent memory, LLM Wiki, and all three skill trees. Now I'm uploading it to the reachable Unix machines and applying it with rsync -a --backup so overwritten files get preserved. @ Ran 9 commands Fix OpenClaw outage: It still crashes after latest BIOS + Intel defaults + RAM at 5600, suspect degraded CPU or bad RAM, not software. I saved the evidence here: @ windows-crash-diagnostics-2026-05-16.md. Sources: Intel 0x12F guidance, ASRock Z790-C support/specs.

Screen: O O 11:03 AM 5/16/2026

[Chat Transcript] Fix OpenClaw outage I saved the evidence here: windows-crash-diagnostics-2026-05-16.md [User Query] Hey sync everything up from my main PC here with all my agents, skills, etc. And I have a question: I don't want to use MCP, why can't I make an API out of my knowledge and have my agents use that to do the things I want them to? Then I would not need any skills or MCPs? [Codex Response] Short answer on the API idea: yes, you can build a private 'Merlino Knowledge API,' and I think that is the right core layer. It can replace a lot of MCP usage for memory/context, but it does not replace tools by itself. An API can tell agents what to do and give them facts; MCP/skills/tools are still the execution layer unless the API also exposes safe action endpoints. [System Activity] I'm switching to the sync request now. I'll read the current wiki state, inventory local skills/agents from this PC, find the existing sync paths, then push non-destructively with backups/no deletes. [Technical Details] - Remote probe results: Mac, VPS1/Matteo, VPS2, and VPS3 are reachable. - The package build hit a robocopy failure on Codex skills, likely from a junction or locked path. I'm rebuilding the package with junction traversal disabled. - Built a 7.6 MB no-delete sync package with agents, agent memory, LLM Wiki, and all three skill trees. - Local validation was RED because the Claude/Codex runtime mirror was empty; fixed by populating 24 agent definitions.

[Editor Content] File Edit Selection View Go Run Terminal Help EXPLORER VIDEO-TOOLS ranking-reels .gitignore all-urls-2026-05-15.json blob-omegaindexer-v2-nanobanana-classic-2026-05-15.json .soundcloud-token.json all-50-final-20.json [Claude Code Terminal] Claude Code v2.1.143 Opus 4.7 (1M context) Available commands: /resume - Restore work state from a previous /pause. /clear - Start a new session with empty context. /schema-generator - Create JSON-LD schema markup. /dataforseo-serp - Get Google SERP results via DataForSEO. /vercel-urls - Look up Vercel project URLs.

[Command-Line Output] Give me something tell codex terminal is open in there. Actual.

[Editor Content] AQUA Voice v0.14.2 Settings Dictionary, Replacements, Instructions, History, Network, Stats, Account PRO Good morning, Michael Hold Right Alt to talk into any textbox. SETTINGS Microphone: Default (Mic (Logitech StreamCam)) Transcription Model: Default, Deep Context Use context from your screen to boost accuracy. Context is private and not stored. File Tagging: Tag files in Cursor and Windsurf when you mention them. Casual Messaging: 321,711 Words + 4d Saved, 179 WPM

[Command-Line Output] .gin/codex/supermemory-openai exists. 5 commits + uncommitted work live only on it. The recent commits and the new untracked scripts/ are about Master Brain (driver, LMStudio, Chroma fan-out). The modified docs and tmp-* dirs are about OpenAI repair from May 12. Different concerns sitting on the same branch. tmp-* look like scratch/ backup workspaces that probably should NOT be committed — junk files. Worth .gitignore-ing. Is the actual new work belonging to this branch (matches the "Supermemory OpenAI" task) and commit them? Add tmp-* work/ entries to .gitignore? Need a separate "save herc/ava state" Do it. Use saved response (2935 chars)