Timeline

[Web Browser Content] Mem0 Dashboard - claude-code Entities: claude-code Total Memories: 4,467 Recent Activity: - Session 42763fb3-2ff is still running, 30 of 248 skills completed, 105 tools used (Bash, Read, Write, Edit, TaskStop). - Touched files: utils.py, run_loop.py, run_eval.py, discover.py, generate_evals.py, run_all.py, report.py, run_pipeline.py. - User: oliver - App: claude-code Session Details: - ID: 42763fb3-2ff2-4dac-9f3d-d820068e6cf4 - Created: 25 Apr 2026 - Updated: 25 Apr 2026

Screen: Entities Pick a date range v All Time Filters ld 30d Refresh o USER O RUN Ö AGENT APP Entities A 315417999 A merlino A gino A gsd-executor A gsd-planner A gsd-roadmapper A superpowers : code-reviewer A gsd-codebase-mapper A claude-code-guide a Updated on May 13, 2026, PM May 13, 2026, AM Action Apr 15, Apr 11, Apr 11, 2026, AM A oliver" A oliver" A oliver" Ato d: A picasso" l/users && python3 && python3 && python3 && python import import import contentm Apr 12, 2026, PM Apr 12, 2026, PM Apr 12, 2026, PM Apr 12, 2026, PM Apr 12, 2026, PM Apr 12, 2026, PM Apr 12, 2026, AM Apr 12, 2026, AM Apr 12, 2026, AM 2026, AM 2026, AM t hermes May 13, 2026, AM t mike-shared-pilot -20260408 t claude-code Mar 31, 2026, PM Apr 16, 2026, PM Action Entities Picka date range v All Time Filters ld 30d Refresh

[Web Browser Content] Mem0 Activity Dashboard Requests Overview Recent activity logs showing request types (SEARCH, ADD, GET ALL), latency metrics, and status updates. Account Usage: - Add: 119 of 10K - Retrieval: 125 of 1K Request Details: - ID: 7b40e88c-644f-4b11-8fac-ac3cd367e11e - Status: Succeeded - Requested At: 13 May 2026 Navigation: - Dashboard, API Keys, Memories, Webhooks, Memory Exports - Projects: Merlino Marketing, Hermes Agent, Hindsight, Call Tracking, CTR Geeks, Vercel, Domain Portfolio

[Web Browser Content] Dashboard | Mem0 Project: Merlino Marketing - default-project Metrics: - Total Memories: 7.8K - Entities: 3.4K - Retrieval Events: 24.4K - Total Requests: 32.9K Account Usage: - Hobby plan usage: 119 of 10K memories - Retrieval: 125 of 1K Navigation: - Setup: Install Mem0, Playground, API Keys - Activity: Dashboard, Requests, Entities, Memories, Webhooks, Memory Exports - Account: Settings, Usage & Billing Platform Features: - Customize Mem0: Set memory preferences - Integration Examples: Patterns for adding memory - Playground: Test memory addition and retrieval - Documentation: Guides and references

[Web Browser Content] Mem0 Playground Dashboard: Mem0 Retrieved Memories: - I work at CTR Geeks (Score: 0.90) - My industry is Coding agents (Score: 0.82) - I am a non-technical user (Score: 0.75) Chat History: - User: What is the best use cases of memory for my industry? - AI: In the context of your industry as a coding agent, memory can be useful for: 1. Personalized Learning, 2. Project Management, 3. Client Interaction, 4. Resource Recommendations. Playground Mode: Changes are temporary. Experiment freely.

[Command-Line Output] Searched for 4 patterns. Found ALL the sources. There are 5 PC sources for agent memory: 1. Workspace: OpenClaw INDEX format 2. Ecosystem: D:\Ecosystem\agent-memory\agents\<agent>\MEMORY.md 3. Obsidian vault: C:\Users\mtkem\0bstdtanVaults\AgentMemory\Agent-<Name>\ (working-context.md, mistakes.md, MEMORY.md, Oliver-only files) 4. Project memos: ObsidianVaults\AgentMemory\Project-Memortes\D--ClaudeDev\, C:\Users\mtkem\, C:\Users\mtkem\Desktop\MobtleClaw\ 5. Master Brain Supabase: gmgxxtqgshbbgzhqzngq.memortes table Memz dispatched for read-only inventory. Hard rules: no cloud writes, no Hindsight API touches, no Master Brain writes. Output is the review file at D:\C1audeDev\AGENT-MEMORY-1NVENTORY-2026-05-14.md. Structure of report: Per-agent table, Per-project table, Top-level findings, Cost estimate. After review, a sync script will be generated based on user approval.

[Web Browser Content] Mem0 Playground URL: app.mem0.ai/playground Memories: - 4 Mar 2026: My industry is Coding agents. (professional_details, technology) - 4 Mar 2026: I work at CTR Geeks. (professional_details) Chat Interface: - Hey Michael! - See Mem0 in action: Observe memory generation and retrieval as you type. - Playground Mode: Changes are temporary. Experiment freely. - Recent queries: "what does dd", "What is the best usecases of memor..."

[Web Browser Content] Mem0 Dashboard - Get Started SETUP - Install Mem0 - Playground - API Keys ACTIVITY - Dashboard - Request - Entities - Memories - Webhooks - Memory Exports ACCOUNT - Settings - Usage & Billing SDK Integration: Drop into your existing SDK PYTHON 1. Install the SDK: pip install mem0ai 2. Initialize the client: from mem0 import MemoryClient; client = MemoryClient(api_key="...") 3. Add memory: Store conversation history and important information for your users. Example: client.add(messages, user_id="alex") CURL API: Send a POST request to add conversation history to memory. --url https://api.mem0.ai/v3/memories/add/

Screen: Add Memory https://app.mem0.ai/dashboard/memory-exports Memory Exports Export memories in a structured format using customizable Pydantic schemas. Learn more Search by ID or entity.. O Refresh X Status Entity Started O Completed + Create Export Actions I/memory-exports 26d58639-5593-4837-92e3- COMPLETED f2de38. 857f2eef-6056-44e6-a97d- COMPLETED 47619e. 51b39f18-eb24-4f15-923a- COMPLETED 5865d213-a392-4c2c-bbb7- COMPLETED 781391. . dcb518ec-5df2-4185-b2e4- COMPLETED f95411.. bee9bcd6-1a1f-4752-82b9- queen general-purp... merlin gsd-plan-che ghost 29 days ago 29 days ago 29 days ago 29 days ago 29 days ago 29 days ago 29 days ago 29 days ago 29 days ago 29 days ago fe4a5a61-708a-449e-84a1- COMPLETED 29 days ago unknown-suba... afe26e4f-f7cb-4ee4-9d6e- COMPLETED d534c9... 29 days ago 82ee7e1

Screen: default-project Memories Overview Q Time 11m ago 12m ago 12m ago 12m ago 16m ago 17m ago 17m ago 17m ago 17m ago Infrastructure Decisions Feedback Get 3 months of Pro for free Pick a date range v +1 +1 +1 Docs All Time UQgrade ld Filters Action o 30d Refresh Entities A machermes A machermes A machermes A mike +1 A machermes A machermes A machermes A machermes A mike +1 +1 +1 +1 +1 +1 +1 +1 Memory Content Assistant updated the reusable skill 'voice-to-live-I... Assistant updated the page by removing the retro l... Assistant deployed a new live landing page for the S... User asked to ensure agents are available, specific... Assistant updated the reusable skill 'voice-to-live-I... Assistant verified that the Nemesis Ad Program, Da... Assistant removed the green color, removed the PO... Assist

[Web Browser Content] Dashboard | Mem0 Recent Activity: - User dislikes green color on Sarasota Authority site. - User requests removal of podcast component. - User wants Dan Kurtz and Facebook paid-media integration. - Assistant created live URL for Sarasota Authority. - Assistant updated reusable skill 'voice-to-live-landing-page'. - User provided onboarding-form template. - Assistant verified Nemesis Ad Program. Memory Details (ID: 4ba863f6-c6a8-4e5b-bfb6-d94167c31de3): - Session 2026-05-13: Mined WordPress, Web-Dev, YouTube-Transcripts, Google-Drive-Organizer, and Domain-Portfolio chats for pending work. - Key findings: CLilT/cli-tracker has uncommitted Tools UI, miami-botox needs AI image generation, and DFY service form requires design overhaul.

Screen: Nemesis -0 aa 00 Apr 12, 2026, PM Apr 12, 2026, Apr 12, 2026, Apr 12, 2026, AM Apr 12, 2026, AM X Entities I N X Cal app.mem0.ai/dashboard/users Merlino Marketing default-project 20 min I Hindsight Memory e Hindsight x + Ask Gemini Ads Manager - Man... mmerlin023... SETUP Install MemO D Playground p API Keys ACTIVITY Dashboard Request 0) Entities — Memories Webhooks Memory Exports Hermes Agent - Das... AGENT Developers APP Call Tracking vectorize- CTR Geeks Vercel Domain Portfolio D... hindsight- O Mission Control mmerlinc. X OpenClaw Mission... 2025 - Google Drive Bookmarklets Get 3 months of Pro for free Pick a date range v Action Docs All Time Filters UQgrade ld Entities USER Entities 0 RUN A 315417999 A merlino A gino A gsd -executor A gsd-planner A gsd-roadmapper A superpowers : code-

Screen: Nemesis X Userl Mer X Cal 20 minl X Hindsight app.mem0.ai/dashboard/agent/herc?entity_types=agent Memory -0 aa 00 O Refresh vectorize- CTR Geeks Vercel hindsight- mmerlinc. X e Hindsight x + Ask Gemini Work Ads Manager - Man... mmerlin023... SETUP Install MemO D Playground p API Keys ACTIVITY Dashboard Request 0) Entities — Memories Webhooks Memory Exports Merlino Marketing -... Hermes Agent - Das... Developers default-project Entities > herc Call Tracking Decisions Domain Portfolio D... Memory Content O Mission Control Total Requests 10 OpenClaw Mission... 2025 - Google Drive Bookmarklets Get 3 months of Pro for free Docs UQgrade o 0 C) Q herc Total Memories 43 Memories Overview Tme Infrastructure Requests Feedback ACCOUNT @ Settings & Usage & Billing Hobby plan usage Add 119 OF 10K Retri

[Web Browser Content] Nemesis Ad Program | Mike + Dan AI Ad Ops Install Ads Manager | Hindsight | Memory | CTR Geeks | Vercel | Domain Portfolio Nemesis Command Center $7.5K+ OpenClaw + Hermes agent setup - Full onboarding brain - Ad/copy/creative production system - Tracking + Hot Lead framework - Mike + Dan private install Pricing is directional. Final scope depends on ad accounts, compliance risk, data access, creative needs, CRM state, and how much implementation you want done for you.

[Web Browser Content] Mem0 Dashboard - Entities Agents: - gsd-executor - gsd-planner - gsd-roadmapper - superpowers: code-reviewer - gsd-codebase-mapper - claude-code-guide - oliver - picasso Users: - herman-vps3 - machermes Tools/Projects: - transcript-downloader - prompt-architect - research-agent - critic-agent - generator-agent - raven-projects - merlin-channels - shakespeare-projects - merlin-memory - raven-yt

Screen: Nemesis Ad X Activity I Me X app.mem0.ai/dashboard/requests Hindsight aa 00 Memory Bar Developers GET ALL vectorize-iol Vercel Domain Portfolio D... hindsight-dc O Mission Control mmerlin023; X e Hindsight Ask Gemini Work Ads Manager - Man... Merlino Marketing -... Hermes Agent - Das... Call Tracking CTR Geeks Has Results OpenClaw Mission... 2025 - Google Drive Bookmarklets Get 3 months of Pro for free mmerlin023... SETUP Install MemO D Playground p API Keys ACTIVITY Dashboard Request 0) Entities — Memories Webhooks Memory Exports ACCOUNT @ Settings & Usage & Billing default-project Requests Overview Docs UQgrade All time All o ADD SEARCH Hobby plan usage Add 119 OF 10K Retrieva1125 OF 1K 7 Mar 4 Q Time 10m ago 10m ago 11m ago 11m ago 13m ago 14m ago 15m ago 15m ago 15m ago 16m ago 16m ago

[Web Browser Content] Mem0 Login Page Create your Mem0 Account - Continue with Google - Continue with Github - Enter your email By creating an account, you agree to our Privacy Policy. Testimonial: "Mem0 allowed us to unlock true personalized tutoring for every student, and it took us just a weekend to integrate." Michael Tong, CTO, RevisionDojo Trusted by 100k+ Developers

[Web Browser Content] Mem0 - The Memory Layer for your AI Agents [Navigation] Use Cases | Developers | Resources | Pricing | Docs [Main Content] Your AI can finally remember. Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production. [Call to Action] Get Started | Start For Free [SDK Integration & Agent Harness] # Step 1 — Install the SDK (run in your terminal, not in Python): pip install mem0ai # Step 2 — Save this as mem0_quickstart.py and run with: import os from mem0 import MemoryClient python mem0_quickstart.py [Footer] Backed by Y Combinator. Cookie Settings.

[Web Browser Content] OneTab - Google Chrome Saved Tab Groups: - Nemesis, Hindsight, Memory, Vectorize, CTR Geeks, Vercel, Domain Portfolio - Merlino Marketing: Ads Manager, Hermes Agent Dashboard, Mission Control - Development: Claude, Automations, Resend, Netlify (Project overviews for hermes-mission-control, merlino-agent-hq2, merlino-clawbuddy) - Business: Tempe Roof Repair, Private Local Job Requests, Merlino Marketing Inbox (mike@merlinomarketing.com), Spring Training Tech Mastermind 2026 - Tools: Aceternity UI Pro, IdentityIQ, Google Drive Bookmarklets

[Command-Line Output] Proposed Sync Plan (3 stages, waiting on GO) Stage A — Save the key Add to MASTER_API_KEYS.env: HINDSIGHT_API_KEY=hsk_4b987595fef63ebae4ce88559dfea857f75d61f00d612323 HINDSIGHT_API_URL=https://apt.hindsight.vectorize.to Stage B — Sync MEMORY.md to matching banks (rate-limited, idempotent) Build a script that for each of 24 agents: 1. Reads D:\Ecosystem\agent-memory\agents\<name>\MEMORY.md 2. Strips junk lines (empty, pure-heading, links-only) 3. Splits remaining content into discrete items 4. POSTs each item via retain(content=<item>) 5. Logs item count per agent + skips already-present (content-hash dedupe) For the 6 missing banks (cody/dan/hawkeye/matteo-jr/memz/vox), create them first with a clean mission + entity labels. Stage C — Cleanup junk banks (PROHIBITED ACTION - requires explicit GO) After sync verified, delete the 18 junk banks at https://ut.htndstght.vectorize.to. Need your call on 4 things: 1. Stage A — save the key to MASTER_API_KEYS.env? 2. Stage B — execute the sync now (dispatch Memz)? 3. Stage B+ — create 6 new banks for unmapped agents? 4. Stage C — you handle junk-bank cleanup yourself after sync verifies?

[Editor Content] Settings Michael Merlino (mikemerlin023@outlook.com) Personalization > Taskbar - Taskbar items: Search, Task view, Widgets - System tray icons: Emoji and more, Pen Menu, Touch keyboard - Taskbar behaviors: Alignment, badging, auto-hide Bluetooth & devices - Bluetooth: Discoverable as "DESKTOP-RIT5LD1" - Devices: Merlino Z Fold (Not connected), G560 Gaming Speaker (Not connected) System - Microsoft 365 Family: Cloud storage and app access - Device Name: DESKTOP-RIT5LD1 (GamingPC) - Windows Update: Last checked 6 hours ago

[Document Content] 11:38 PM 5/13/2026

Screen: bash x bash - Auth: Authorization: Bearer hsk_4b987595fef63ebae4ce88559dfea857_f75d61f00d612323 confirmed working - Core ops: content), recall(bank_td, query), reflect(bank_td, query) SDK: pip install hindsight-client or npm install @vectortze-to/htndstght-cltent - Models: World facts I Experiences I Mental Models — biomimetic, not raw RAG Proposed Sync Plan (3 stages, waiting on GO) Stage A — Save the key (one line, you confirm) Add to HINDSIGHT API KEY=hsk 4b987595fef63ebae4ce88559dfea857 f75d61fOOd612323 HINDSIGHT_API_URL=https : //apt . hinds ight . vectorize . to Stage B — Sync MEMORY. md -4 matching banks (rate-limited, idempotent) Build a script that for each of 24 agents: 1. Reads D:\Ecosystem\agent-memory\agents\<name>\MEMORY.md 2. Strips junk lines (empty, pure-heading # MEMORY.m

[Editor Content] Aqua Voice v0.14.2 Settings: Microphone: Default (Mic (2- Insta360 Link 2)) Transcription Model: Default, Deep Context History: [about 12 hours ago • 00:39] You shouldn't ask me so many options when you know what you're supposed to be doing, right? So if you need to restore the skills, restore them. If you just need to go add them to this MCPSOP resource, then do that. Also, we're not using 14 MCPs. Make one Merlin SOPs with categories, right? Also, inside the MCP could be a category per agent, per domain, and then a master one to route them everywhere or something like that, right? But right now let's get everything because we've been working we're starting to lose it here we're slipping. [about 12 hours ago • 00:28] hey, I didn't just say archive or delete it, right? I said make sure Matteo has them skills and whoever else might need to, like Infra, Merlin, whoever needs to know. We're not just moving shit, right? We're making sure it's assigned to the fucking MCP or assigned to the agent through the MCP or through the skills or references, bro. You're just moving shit like, duh.

[Document Content] 11:37 PM 5/13/2026

[Command-Line Output] Brewed for 2m 35s. 1 shell still running. Stage C: Cleanup junk banks (PROHIBITED ACTION - requires explicit GO). Build a script that for each of 24 agents: 1. Reads D:\Ecosystem\agent-memory\agents\<name>\MEMORY.md 2. Strips junk lines (empty, pure-heading # MEMORY.md, links-only) 3. Splits remaining content into discrete items (one bullet/section = one memory) 4. POSTs each item via retain(content=<item>) 5. Logs item count per agent + skips already-present (content-hash dedupe) For the 6 missing banks (cody/dan/hawkeye/matteo-jr/memz/vox), create them first with a clean mission + entity labels (model after merlin-dev-lead JSON5 pattern). After sync verified, you (not me) delete the 18 junk banks at https://ut.htndstght.vectortze.to. I can give you the exact list + a click path. Need your call on 4 things: 1. Save the key to MASTER_API_KEYS.env? 2. Execute the sync now (dispatch Memz)? 3. Create 6 new banks for unmapped agents (cody/dan/hawkeye/matteo-jr/memz/vox)? 4. You handle junk-bank cleanup yourself after sync verifies? Proposed Sync Plan (3 stages, waiting on GO): Stage A: Save the key (one line, you confirm) Add to .env: HINDSIGHT_API_KEY=hsk_4b987595fef63ebae4ce88559dfea857_f75d61f00d612323 HINDSIGHT_API_URL=https://apt.hindsight.vectorize.to Auth: Authorization: Bearer hsk_4b987595fef63ebae4ce88559dfea857_f75d61f00d612323 confirmed working. Core ops: retain(content), recall(bank_id, query), reflect(bank_id, query). SDK: pip install hindsight-client or npm install @vectortze-to/htndstght-client.

[Command-Line Output] D:\Ecosystem\agent-memory\agents\<name>\MEMORY.md x 24 (per Memz's resources + Agent Soul System: "Memory as INDEX not encyclopedia — depth lives in vector stores") Hindsight Cloud API (verified from README + your live key probe) - Base: https://apt.htndstght.vectortze.to - Auth: Authorization: Bearer hsk_4b987595fef63ebae4ce88559dfea857_f75d61f00d612323 confirmed working - Core ops: recall(bank_id, query), reflect(bank_id, query) - SDK: pip install hindsight-client or npm install @vectortze-to/htndstght-client - Models: World facts | Experiences | Mental Models — biomimetic, not raw RAG Proposed Sync Plan (3 stages, waiting on GO) Stage A — Save the key (one line, you confirm) Add to .env: HINDSIGHT_API_KEY=hsk_4b987595fef63ebae4ce88559dfea857_f75d61f00d612323 HINDSIGHT_API_URL=https://apt.hindsight.vectorize.to Stage B — Sync MEMORY.md to matching banks (rate-limited, idempotent) Build a script that for each of 24 agents: 1. Reads D:\Ecosystem\agent-memory\agents\<name>\MEMORY.md 2. Strips junk lines (empty, pure-heading # MEMORY.md, links-only) 3. Splits remaining content into discrete items (one bullet/section = one memory) 4. POSTs each item via retain(content=<item>) 5. Logs item count per agent + skips already-present (content-hash dedupe) For the 6 missing banks (cody, dan, hawkeye, matteo-jr, memz, vox), create them first with a clean mission + entity_labels (model after merlin-dev-lead JSON5 pattern). Stage C — Cleanup junk banks (PROHIBITED ACTION - requires explicit GO) After sync verified, you (not me) delete the 18 junk banks at https://ut.htndstght.vectortze.to. I can't auto-delete per safety rules. I can give you the exact list + a click path. Need your call on 4 things: 1. Stage A — save the key to MASTER_API_KEYS.env? 2. Stage B — execute the sync now (dispatch Memz)? 3. Stage B+ — create 6 new banks for unmapped agents? 4. Stage C — you handle junk-bank cleanup yourself after sync verifies?

Stage C — Cleanup junk banks (PROHIBITED ACTION — requires explicit GO)

Screen: bash x bash v24.7.o Q c. 13.12 ) claude Claude Code v2.1. 141 Opus 4.7 (1M context) Claude Max D: \ClaudeDev ) /sop-stte update https://gtthub.com/mmerltn023/htndstght-docs• bypass permissions on (shift+tab to cycle) Advisor Tool (experimental) is on and may use more tokens /advtsor ( experimental) Advisor Tool ( shift+tab permissions Stage A — Stage B — Stage B+ — Stage C Stop says: save the key to MASTER_API_KEYS.env? (XS one-time, recommended) execute the sync now (dispatch Memz)? Memz has the new resources + knows the architecture cold. create 6 new banks for unmapped agents (cody/dan/hawkeye/matteo-j r/memz/vox)? Or skip them? you handle junk-bank cleanup yourself after sync verifies? I'll give you the delete list. [honcho] response -4 saved response (3542 chars) After click https://u

[Web Browser Content] Vercel Dashboard - mmerlin023 Projects: - hindsight-call-agenda - hindsight-docs - sarasota-authority-weekend - rankingreels-campaign-live - clickminded-sop - seo-sop - local-sop - links-sop - claude-control-kit-community - mike-merlinomarketing-clone Recent Activity: - feat: scaffold clickminded-sop MCP server (12h ago) - fix: correct seo-sop dfseo_rank_tracking (22h ago) - feat(mcp): add 2 GMB DataForSEO tools (22h ago) - feat(mcp): add dfseo_backlinks_overview tool (22h ago) Account Status: - Included Credit: $5.34 / $20 - Build CPU Minutes: $3.93 - Action Required: Update projects for security vulnerabilities.

[Web Browser Content] GitHub - mmerlin023/hindsight-docs. Repository: hindsight-docs. Owner: mmerlin023. Files: docs, scripts, .gitignore, package-lock.json, package.json, vercel.json, README. Status: Private repository, no description or topics provided.

[Web Browser Content] Hindsight Docs - Overview - Vercel Project: hindsight-docs Production Deployment: hindsight-docs-five.vercel.app Core Concepts: - Architecture Flow - Deployment Settings - Node.js Version Override Status: Ready Source: master branch (b48a790 feat: Hindsight Cloud docs SOP site - VitePress + RAG chat widget) Created: Mar 29 by mmerlin023 Observability: - Edge Requests: 0 - Function Invocations: 0 - Error Rate: 0% Production Checklist: 1/6

https://github.com/mmerlino23/hindsight-docs

[Command-Line Output] Claude Code v2.1.141 Opus 4.7 (1M context) Directory: D:\ClaudeDev Available Skills: - /sop-site: Extracts video transcripts from social platforms (Instagram, TikTok, X) via SuperData. - /transcript-to-skill: Converts knowledge sources into Claude Code skill files. - /update-config: Configures Claude Code harness via settings.json for automated behaviors. - /advisor: Consults a stronger model for guidance at key moments. - /higgsfield-product-photoshoot: Generates brand-quality product images. - /higgsfield-soul-td: Trains a personalized model for identity-faithful image/video generation. - /perplexity-research: AI-powered web research with citations. - /claude-api: Build, debug, and optimize Claude API/Anthropic SDK apps. - /higgsfield-generate: Generates images/videos via Higgsfield AI (GPT Image 2, Seedance 2.0, Nano Banana 2/Pro).

[Web Browser Content] Hindsight Cloud Documentation Hindsight is a persistent memory system for AI agents built by Vectorize.io. It enables agents to store, search, reason over, and pre-compute reflections from memory—making them contextually aware across sessions. Core Concepts: - Memory Banks: Isolated containers for memories with profile, settings, and disposition traits. - Retain: Store and process natural language content into categorized memories. - Recall: Search memories using TEMPR multi-strategy retrieval (semantic, keyword, graph, temporal). - Reflect: AI-powered reasoning over memories with confidence scores and citations. - Mental Models: Pre-computed cached reflections that auto-refresh as memories evolve. Quick Links: - Getting Started: Sign up, create a bank, make your first API call. - Memory Operations: Retain, Recall, Reflect, Mental Models. - MCP Integration: Connect to Claude, Cursor, ChatGPT, VS Code. - Python SDK: Full Python client guide. - TypeScript SDK: Full TypeScript client guide.

[Web Browser Content] Project: hindsight-docs Platform: Vercel Overview Deployments | Logs | Analytics | Speed Insights | Observability | Firewall | CDN Settings: Environment Variables | Domains | Integrations | Storage | Flags | Agent | AI Gateway | Sandboxes | Workflows Deployment Status: Production Deployment Production Checklist: 1/5 Actions: Add Custom Domain | Preview Deployment | Enable Web Analytics | Enable Speed Insights

[Web Browser Content] Vercel Dashboard - mmerlin023 Projects: - movers-near-me - dfy-service-form - merlino-marketing-2026 - flatfee-cleaners-manus - attention-to-detail-cleaners - flat-fee-house-cleaners-sarasota - flat-fee-cleaners-site - flat-fee-cleaners-sarasota - dfy-classifier-results - elite-roofing-website - domain-portfolio-v2 - flat-fee-movers-sarasota - drew-ronfina - sarasota-authority-weekend - rankingreels-campaign-live - clickminded-sop - seo-sop - links-sop - claude-control-kit-community - mike-merlinomarketing-clone - hermes-status-doctor-explainer - hermes-agent-docs - hindsight-docs - gbp-recovery-handbook-docs Recent Activity: - feat: expand dfy-service-form - feat: scaffold clickminded-sop MCP server - fix: correct seo-sop dfseo_rank_tracking - feat(mcp): add 2 GMB DataForSEO tools - feat(mcp): add dfseo_backlinks_overview tool Account: mmerlin023 (Pro Team)

https://hindsight-docs-five.vercel.app/

[Web Browser Content] Dashboard: Vercel Projects and Deployments Active Projects: - Merlino Marketing 2026 - DFY Service Form - Flat Fee Cleaners Sarasota - Attention to Detail Cleaners Tools & Resources: - Applicant Tracking System - Mission Control - Manus Resources Hub - Google Drive Bookmarklets - Michael's Fireflies Tracker Recent Activity: - Migrate from manus.space (Apr 2) - Fix: bust stale cache + add maxDuration (Apr 29) - Direct Gemini API for matched before/after pairs (Apr 16) Navigation: - Projects, Deployments, Logs, Analytics, Speed Insights, Observability, Firewall, CDN, Environment Variables

[Web Browser Content] Hindsight Cloud Docs Getting Started - Introduction to Hindsight Cloud - API Integration - MCP Integration Memory Operations - Memory Banks: The core organizational unit in Hindsight. Each bank is an isolated container for memories, with its own profile, settings, and data. Accessing Memory Banks 1. Log in to Hindsight Cloud 2. Use the Memory Bank Selector dropdown in the top navigation 3. Select a bank to view its details, or click Create New to create one Memory Bank Views - Profile: Configure identity (Name, Background, Disposition Traits: Skepticism, Literalism, Empathy) - Recall (Search Debug): View retrieval traces and relevance scores - Reflect: Synthesize insights from stored memories using disposition traits - Memories: Displays stored memories (World Facts, Experience, Observations) - Mental Models: Frequently accessed data - Documents - Entities Adding Memories - Via the UI: Navigate to Memories view, click Add Document/Memory, enter content, select type, and save. - Via the API: Use client.retain(bank_id="your-bank-id", content="...") Searching Memories - Via the UI: Navigate to the Recall tab and enter your search query.

[Web Browser Content] Memory Operations > Retain: Storing Memories GETTING STARTED Introduction to Hindsight Cloud Basic Usage Retain: Storing Memories Request Parameters The Retain operation stores new information in a memory bank. Hindsight processes the content, extracts structured memories, and indexes them for efficient retrieval. Response Be Specific Include Context Retain: Storing Memories Recall: Retrieving Memories Overview Retain is the primary way to add information to Hindsight: Use Natural Language Batch Operations • Process natural language content • Extract and categorize memories automatically • Store world facts, experience, and observations • Build a searchable knowledge base indexed for TEMPR retrieval With Metadata Memory Types Explained World Facts Experience Observations Mental Model Auto-Refresh Token Usage Error Handling Common Errors Basic Usage TypeScript Python cURL from hindsight_client import Hindsight client = Hindsight(api_url="https://api.hindsight.vectorize.io", api_key="your-api-key")

[Web Browser Content] Hindsight Cloud Getting Started: Introduction to Hindsight Cloud Hindsight Cloud is the managed cloud service for Hindsight, a state-of-the-art memory system designed specifically for AI agents. The Problem: AI agents forget everything between sessions. Without persistent memory, agents can't maintain context across conversations, learn from past interactions, or build lasting relationships with users. Every conversation starts from zero. What is Hindsight? Hindsight enables AI agents to remember, learn, and reason through three core operations: - Retain: Store information in dedicated memory banks, automatically extracting facts, entities, and temporal data. - Recall: Search and retrieve memories using multiple parallel strategies. - Reflect: Perform agentic reasoning over retrieved memories, guided by a bank's mission, directives, and disposition traits. Key Concepts: - Memory Banks: A dedicated memory space for a specific agent or context. - Memory Hierarchy - Mission & Directives - TEMPR Retrieval - Disposition Traits SDKs: - Python SDK Guide - TypeScript SDK Guide - cURL Examples Account: - API Keys - Team Management - Billing - Usage Analytics

[Command-Line Output] Memz caught 4 errors in my mining methodology and corrected them. - 22,080 Claude + 310 Codex backed up (1 net-new Codex chat added today). - 7 parallel agents covered 25+ project folders all-time. - Cody handled Codex/Coding lanes. - 105 raw findings, 97 deduped, all pushed. Honest gaps that remain: 1. Honcho OAuth 2.1 Hindsight note: Memz couldn't find a source file. 2. Codex Desktop uncommitted sessions: Anything not flushed to N/.codex/sessions/ is invisible. 3. Pre-Dec-2025 chats: Agents focused on action-bearing dates; stale 2024 work may remain. 4. Overlaps: Original 52 items overlap with new 97; need to decide which to retire. Files saved for portability: - D:/ClaudeDev/TODO-MASTER-2026-05-13.md - D:/ClaudeDev/push-todo-to-clawcontrol.py - D:/ClaudeDev/push-todo-assignees.py - D:/ClaudeDev/push-todo-v2-clawcontrol.py - D:/Ecosystem/agent-memory/agents/memz/resources/INDEX.md User Prompt: How can we sync my clean agent memories to the right bank in Hindsight? System Response: View your session in Honcho GUI: https://app.honcho.dev/explore?workspace=claude_code&view=sessions&session=mike-claudedev

[Web Browser Content] vectorize-io/hindsight: Hindsight: Agent Memory That Learns Repository: vectorize-io/hindsight Description: Hindsight: Agent Memory That Learns Stats: - 13.3k stars - 42 watching - 760 forks - 1,362 Commits Recent Activity: - fix(cli, control-plane): make retain Event Date / timestamp actually - doc: Claude Code + Telegram + Hindsight - fix(mcp): validate UUID inputs - feat: support for gemini-3-pro and gpt-5.2 - Release v0.6.1 Folders: - .githooks - .github - cookbook - docker - helm/hindsight - hindsight-all-npm - hindsight-all-slim - hindsight-all - hindsight-api-slim - hindsight-api - .claude-plugin - .claude/skills/code-review

https://github.com/vectorize-io/hindsight.git

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[Web Browser Content] Introduction to Hindsight Cloud What is Hindsight? Hindsight Cloud is the managed cloud service for Hindsight, a state-of-the-art memory system designed specifically for AI agents. The Problem AI agents forget everything between sessions. Without persistent memory, agents can't maintain context across conversations, learn from past interactions, or build lasting relationships with users. Every conversation starts from zero. Hindsight solves this by providing agents with a sophisticated memory system that goes far beyond simple storage and retrieval. Hindsight enables AI agents to remember, learn, and reason through three core operations: • Retain - Store information in dedicated memory banks, automatically extracting facts, entities, and temporal data • Recall - Search and retrieve memories using multiple parallel strategies • Reflect - Perform agentic reasoning over retrieved memories, guided by a bank's mission, directives, and disposition traits Key Concepts Memory Banks: A Memory Bank is a dedicated memory space for a specific agent or context. Each bank maintains its own: - Memory Hierarchy - Disposition Traits - TEMPR Retrieval - Mission & Directives

https://github.com/vectorize-io/hindsight

Screen: Accessing API Keys Viewing API Keys Filtering Keys Creating an API Key After Creation Bank-Scoped Keys Creating a Bank-Scoped Key COLUMN Name Key Prefix Created Last Used Expires Status DESCRIPTION The descriptive name you gave the key First few characters for identification When the key was created Most recent API call using this key Expiration date (if set) Active or Revoked Viewing Bank Scope Editing Bank Restrictions Use Cases Programmatic Key Creation Prerequisites Creating a Scoped Key Listing Scoped Keys Revoking a Scoped Key Use Cases Revoking an API Key Best Practices Naming Conventions Key Rotation Expiration Policies Security Tips Filtering Keys Use the Active only checkbox to: • Checked - Show only active keys (default) • Unchecked - Show all keys including revoked ones Revoked

[Web Browser Content] Introduction to Hindsight Cloud Hindsight Cloud is the managed cloud service for Hindsight, a state-of-the-art memory system designed specifically for AI agents. The Problem AI agents forget everything between sessions. Without persistent memory, agents can't maintain context across conversations, learn from past interactions, or build lasting relationships with users. Every conversation starts from zero. Hindsight solves this by providing agents with a sophisticated memory system that goes far beyond simple storage and retrieval. What is Hindsight? Hindsight enables AI agents to remember, learn, and reason through three core operations: - Retain: Store information in dedicated memory banks, automatically extracting facts, entities, and temporal data. - Recall: Search and retrieve memories using multiple parallel strategies. - Reflect: Perform agentic reasoning over retrieved memories, guided by a bank's mission, directives, and disposition traits. Key Concepts - Memory Banks: A dedicated memory space for a specific agent or context. - Memory Hierarchy: Organizes knowledge into a layered hierarchy, from raw facts up to curated summaries. - Mission & Directives: Guiding principles for agent reasoning. - Disposition Traits: Personality or behavioral traits for agents. Documentation Sections: - Getting Started - API Integration - MCP Integration - Memory Operations (Retain, Recall, Reflect) - SDKs (Python, TypeScript, cURL) - Account Management (API Keys, Billing, Analytics)