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Give AI coding assistants local long-term memory with searchable lessons and patterns.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "brain-mcp" yet — see the docs or source repo.
Save this login timeout fix to long-term memory: the root cause was JWT refresh logic not handling clock drift, and the solution was to refresh 60 seconds before expiry and add a 90-second tolerance in server validation.
The tool stores the lesson as a reusable troubleshooting record for future coding assistant retrieval.
Search long-term memory for lessons related to "SQLite batch write optimization" and summarize common performance bottlenecks, indexing strategies, and transaction handling advice.
It returns relevant past lessons and pattern summaries to quickly reuse proven optimization approaches.
Before refactoring the cache module, extract this project's key conventions about Redis, expiration strategy, and concurrency consistency from long-term memory, then turn them into a context brief for the coding assistant.
It produces a task-ready project memory brief so the assistant can avoid re-discovery and follow existing conventions.
Provide persistent local memory and semantic search for MCP AI clients.
Build persistent, semantically searchable memory for codebases via natural language queries.
Give AI coding tools persistent memory across sessions, devices, and workflows.
Provide persistent local semantic memory for MCP tools to store and search notes.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Give AI agents persistent memory and semantic retrieval across conversations.