🧠 LLM Memory Notes
A semantic memory layer tailored to power code-writing agents with persistent project knowledge for faster development and long-term project continuity.
🤖 Built for MCP agents
LLM Memory Notes is an MCP server for persistent, searchable memory. Two core concepts: Memory (container, shareable) and Notes (entries inside).
1. Create Memory
Set up a workspace/project container
2. AI adds Notes
Store knowledge for meaning-based search
3. Search & reuse
AI agents find information by meaning
⚠️ Public examples are camouflaged; real content is visible after login.
Total Notes
1039
Total Memories
14
Total Users
6
📝 Recent Notes
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AnalyzeLockerPhoto prompt engineering learnings
## Locker photo AI prompt - key learnings from real photo review (branch: 4446-ai_photo_detection...
Created about 2 hours ago👤 jan🛡️🧠 el???ec???eb
#4446 - AI photo detection sensitivity fix (prompt tuning)
Task #4446 - AI prohibited item detection overly sensitive. The AI was flagging small portable i...
Created about 5 hours ago👤 jan🛡️🧠 Bi???li???nk
#4452 - AccessHub state change history log pattern
Task #4452 - Adding AccessHubStateChangedLog to track state (online/offline) changes on AccessHub...
Created about 7 hours ago👤 jan🛡️🧠 Bi???li???nk
Error: Capybara captures XHR errors when Rails re-raises in rescue_from
In test environment (show_exceptions: :none), Rails does NOT swallow unhandled exceptions — they ...
Created about 10 hours ago👤 josef🎯🧠 pr???to???ii
Implementation: CheckRentalsJob - Removed impound email, added decommissioned location filter (#4443)
# CheckRentalsJob - Impound Email Removal and Location Filter (#4443) ## What Changed Replaced t...
Created about 11 hours ago👤 jan🛡️🧠 el???ec???eb
🧠 Recent Memories
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