pieces

[SUGGESTED_QUERY] implementing chat-stop hooks for Memz and Hindsight

Screen: bash 2. x Fleet x Skills x pinecone x Backup Chats x bash x - /c/Users/mikem/.claude/plugins/cache/honcho/honcho/@. . +66 lines (ctrl+0 to expand) Why only Honcho says "saved" 4/ .claude-plugin/plugin.json - Honcho is genuinely the only system capturing chat Stop responses. Here's what actually fires on each event: Not "publicly showing" — it's the only one doing it. Event Stop (chat ends) SubagentStop PostToolUse UserPromptSubmit Hooks that run claude-control-hook.mjs (telemetry to ClawControl) validate-report. sh + subagent-stop-memory.py (Memz + Honcho plugin hook + Hindsight + per-agent MEMORY. md ) supermemory-memory-file-push.py + langsmith-agent-trace.py frontend-premium-mode.py (+ Honcho injects conclusions) Captures chat response? Only Honcho Subagent results only Tool calls only

[SUGGESTED_QUERY] optimize Pieces ingester cron task

[SUGGESTED_QUERY] Honcho vs Memz chat capture

[SUGGESTED_QUERY] Claude chat stop hook implementation

Tag: chat-logging Source: CLOUD_LLM

Tag: claude-plugin Source: CLOUD_LLM

[Editor Content] File Edit Selection View Go Run Terminal Help Explorer: VIDEO-TOOLS - ranking-reels - .env - .env.example - .gitignore - aer-v2-good-news.png - blob-omegaindexer-v2-nanobanana-classic-2026-05-15.json - all-urls-2026-05-15.json - .soundcloud-token.json - all-50-final-20.json Terminal Output: [honcho] post-tool-use captured: HTTP request to ranking-reels-gallery.vercel.app: Live. 44 video+thumbnail pairs visible. Thumbnails 200 OK. Preview gallery (updated): https://ranking-reels-gallery.vercel.app/ Status Update: - 69 videos downloaded mp4 (1.55 GB) - 44 MM thumbnails extracted jpg - 44-row upload manifest output/may14-downloads/_mm-upload-ready.json (pairs each video with its thumb + city + script + audience) - BMM API confirmed: 13 platforms connected on Mike Merlino profile (POST /media for upload, POST /posts for drafts) Pending Tasks: - Nothing pushed to BMM yet; library-only mode creates draft posts. - Pinterest/SoundCloud/Podbean posts not yet created. Agent Note: Tell me when your edits are done and I'll fire the 44 uploads. If you want me to reorganize the preview by city or split into tabs, say the word.

[SUGGESTED_QUERY] video gallery preview deployment

[Web Browser Content] Merlino Marketing — 44 videos ready for BMM upload Each video paired with its frame-0 thumbnail (used as BMM poster + Pinterest/SoundCloud/Podbean image content) 44 videos staged for upload to app.brandmediamanager.com (Mike Merlino profile, 13 connected platforms). 34 city-pages (geo in title) + 10 GEO/AI explainers (no geo). Upload mode: library only, no auto-publish. You schedule + caption each before posting. Thumbnails extracted: 44/44 Content Examples: - What is GEO SEO? (No-geo, 30s, AvatarBubbleTemplate): Explains Generative Engine Optimization for AI search engines. - Columbus (30s, AvatarBubbleTemplate): Targeting Columbus home service business owners. - Orlando (30s, AvatarBubbleTemplate): Targeting Orlando home service business owners. - San Jose (30s, AvatarBubbleTemplate): Targeting San Jose home service business owners. - Indianapolis (30s, AvatarBubbleTemplate): Targeting Indianapolis home service business owners. - Minneapolis (30s, AvatarBubbleTemplate): Targeting Minneapolis home service business owners.

[SUGGESTED_QUERY] Brand Media Manager video upload workflow

[SUGGESTED_QUERY] GEO SEO video content strategy

[SUGGESTED_QUERY] Merlino Marketing BMM upload status

Website: https://app.brandmediamanager.com

Tag: content-upload Source: CLOUD_LLM

[Editor Content] VIDEO-TOOLS Files: - .env - .env.example - .gitignore - blob-omegaindexer-v2-nanobanana-classic-2026-05-15.json - all-urls-2026-05-15.json Terminal Output: [honcho] post-tool-use captured: HTTP request to ranking-reels-gallery.vercel.app: Live. 44 video+thumbnail pairs visible. Thumbnails 200 OK. Preview gallery (updated): https://ranking-reels-gallery.vercel.app/ Status Report: - 69 videos downloaded mp4 (1.55 GB) - 44 MM thumbnails extracted jpg - 44-row upload manifest output/may14-downloads/_mm-upload-ready.json (pairs each video with its thumb + city + script + audience) - BMM API confirmed: 13 platforms connected on Mike Merlino profile (POST /media for upload, POST /posts for drafts) Pending Tasks: - Nothing pushed to BMM yet; library-only mode creates draft posts. - No Pinterest/SoundCloud/Podbean posts created yet. Action Required: Confirm edits to proceed with 44 uploads or reorganize preview by city.

[SUGGESTED_QUERY] video thumbnail gallery verification

[SUGGESTED_QUERY] Mike Merlino BMM API integration

[SUGGESTED_QUERY] ranking-reels video upload status

[Command-Line Output] Recap: You wanted to use Chaser without installing its MCP. Chaser has no REST API or CLI, but its MCP endpoint is just JSON-RPC over HTTPS, so a thin wrapper script can hit it directly. Next: decide whether to install MCP temporarily to grab tool schemas, or scaffold a PrintingPress CLI now. Recommended path for you: Build a PrintingPress CLI: chaser create-task " " --assignee bob. It wraps the JSON-RPC calls. Any agent (Claude, Gemini, GPT, scripts) can call chaser like any other CLI. - No MCP server installed anywhere - One auth token in MASTER API KEYS.env - Works from Windows, Mac, VPS, anywhere Catch: You need to discover their tool/method names first. The easiest way is to either: 1. Install the MCP once temporarily, run tools/ list, capture the schema, then uninstall 2. Email support@trychaser.com and ask for the JSON-RPC method list Want me to: 1. Install temporarily and dump the tool schemas so we can build the CLI? 2. Just scaffold the PrintingPress CLI assuming standard MCP method names? 3. Skip Chaser as not worth the effort? Sources: - Chaser FAQ (https://www.trychaser.com/frequently-asked-questions) - Chaser homepage (https://www.trychaser.com/) - Chaser Slack Marketplace (https://slack.com/marketplace/A046M9DK988-chaser)

[SUGGESTED_QUERY] How to discover Chaser tool method names

[SUGGESTED_QUERY] Build PrintingPress CLI for Chaser

[SUGGESTED_QUERY] Chaser MCP JSON-RPC wrapper script

Website: https://slack.com/marketplace/A046M9DK988-chaser

Website: https://www.trychaser.com/

Website: https://www.trychaser.com/frequently-asked-questions

Tag: json-rpc Source: CLOUD_LLM

Person: support@trychaser.com

[Command-Line Output] They didn't show in Memz because the ingester runs hourly. Triggering it now so we can verify. Bash(cd "/d/ClaudeDev/00_GITHUB/pieces-integration" && ./python-sdk/.venv/Scripts/python.exe ingester/main.py --incremental 2>&1 | tail -25) Last run was 16:00 UTC, these were created at 16:30-16:49 UTC. Next run at 17:00 UTC will catch them. Or I can trigger. [INFO] httpx: HTTP Request: GET https://fvozafykwwnkuaoofcbz.supabase.co/rest/v1/memories?select=id&source=eq.pieces_conversation&limit=1 [honcho] post-tool-use captured: Ran: cd "/d/ClaudeDev/00_GITHUB/pieces-integration" && ./python-sdk (success) Ingester pulled 870 new rows including 11 new workstream summaries. Verifying both showed up. Both summaries are now in Memz. Confirmed captured. Two quick wins remaining: 1. Tighten cron to 15 min instead of hourly. 2. Install NSSM polling daemon (30s) per HANDOFF.md for true real-time. Recap: You were checking whether Pieces exports get backed up to Memz. The pipeline works but lags hourly cron, so today's SkillMemz and Time Breakdown only landed after I manually triggered a sync.

Website: https://fvozafykwwnkuaoofcbz.supabase.co/rest/v1/memories?select=id&source=eq.pieces_conversation&limit=1

[SUGGESTED_QUERY] NSSM polling daemon setup for real-time sync

[SUGGESTED_QUERY] tighten cron job interval 15 minutes

[SUGGESTED_QUERY] Pieces integration data ingestion debugging

Tag: cron-job Source: CLOUD_LLM

[SUGGESTED_QUERY] honcho saved response log

[SUGGESTED_QUERY] Backup Chats terminal log

Stop says: [honcho] response → saved response (1366 chars)

Screen: bash (timeout 2m) L x Fleet x Skills x pinecone x Backup Chats x bash Sites/ pinecone-docs " x [honcho] post-tool-use -4 captured: Ran: cd L PostToolUse:Bash says: All 7 tasks done. Saving memory notes about this build for future SOP Read 1 file, recalled 1 memory, wrote 3 memories (ctrl+0 to expand) L PostToolUse:Write says: lines) L PostToolUse: Edit says: "D : /C1audeDev/OO_GITHUB/Webs ites/SOP- sites. (success) [honcho] post-tool-use -4 captured: Wrote C:\Users\mikem\.claude\projects\D--ClaudeDev\memory\project_pinecone-docs.md (27 [honcho] post-tool-use -4 captured: Edited C:\Users\mikem\.claude\projects\D--ClaudeDev\memory\MEMORY.md: added: Pinecone, Docs, SOP O DELIVERED Pinecone SOP site, Resource Live site GitHub (private) Source repo Obsidian vault end-to-end, live. URL/Path http

Website: https://fvozafykwwnkuaoofcbz.supabase.co/

[SUGGESTED_QUERY] ClaudeDev memory project pinecone-docs

[SUGGESTED_QUERY] Pieces workstream summary export sync

[SUGGESTED_QUERY] Pinecone documentation SOP site build status

[Web Browser Content] Pinecone Docs Vector database for AI at scale Complete reference mirror of docs.pinecone.io, 364+ pages on indexes, embedding, search, RAG, Assistant, SDKs, and integrations. Searchable. Self-contained. With AI chat. Get Started Guides: 137 pages covering get-started, indexes. API Reference: 243 pages of REST SDK references. Integrations: 58 integration guides, OpenAI, Anthropic.

[SUGGESTED_QUERY] AI vector database integration guides

[SUGGESTED_QUERY] Pinecone documentation Vercel mirror

[SUGGESTED_QUERY] Pinecone vector database documentation and API reference

Website: https://docs.pinecone.io

[SUGGESTED_QUERY] Pinecone docs website

[Command-Line Output] Verification: FULL — page returns 200, chat API smoke-tested with real query, citation returned, vault file count matches source. Two incidents recovered from memory: O DELIVERED Pinecone SOP site, Resource Live site GitHub (private) Source repo Obsidian vault end-to-end, live. URL/Path https://pinecone-docs.vercel.app https://github.com/mmerlin023/pinecone-docs D:/ClaudeDev/00_GITHUB/Websites/SOP-Sites/pinecone-docs/ D:/Ecosystem/vaults/pinecone-docs/ (373 .md files) vs 6a089e3bed9c819183a93d0a18b962e9 OpenAI vector store Stats: 373 .md files (collapsed API-version duplicates) - 486 source pages - 8 top-level sections: guides (137), reference (243), integrations (58), troubleshooting (31), release-notes, assistant-release-notes, models - Sources: Mintlify llms-full.txt (92K lines) — Firecrawl was kicked off but llms-full had everything needed - Chat verified: returns real answers with file citations [honcho] post-tool-use captured: Ran: cd D:/ClaudeDev/00_GITHUB/Websites/SOP-Sites/pinecone-docs PostToolUse:Bash says: All 7 tasks done. Saving memory notes about this build for future SOP Read 1 file, recalled 1 memory, wrote 3 memories PostToolUse:Write says: Wrote C:\Users\mikem\.claude\projects\D--ClaudeDev\memory\project_pinecone-docs.md PostToolUse:Edit says: Edited C:\Users\mikem\.claude\projects\D--ClaudeDev\memory\MEMORY.md: added Pinecone

[SUGGESTED_QUERY] mmerlin023 pinecone-docs repository