Open Issues Need Help
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Memory for AI agents that knows when NOT to answer — every lookup returns replay, restore, verify, or none with an explainable score. SQLite/FTS5, optional vectors, MCP server.
Python
#agent-memory#ai-agents#chromadb#claude-code#cursor#llm#mcp#mcp-server#memory#model-context-protocol#python#rag#retrieval#semantic-search#sqlite#vector-search
LongMemEval / LoCoMo benchmark harness 2 days ago
help wanted
Memory for AI agents that knows when NOT to answer — every lookup returns replay, restore, verify, or none with an explainable score. SQLite/FTS5, optional vectors, MCP server.
Python
#agent-memory#ai-agents#chromadb#claude-code#cursor#llm#mcp#mcp-server#memory#model-context-protocol#python#rag#retrieval#semantic-search#sqlite#vector-search
LangChain BaseMemory adapter 2 days ago
help wanted good first issue
Memory for AI agents that knows when NOT to answer — every lookup returns replay, restore, verify, or none with an explainable score. SQLite/FTS5, optional vectors, MCP server.
Python
#agent-memory#ai-agents#chromadb#claude-code#cursor#llm#mcp#mcp-server#memory#model-context-protocol#python#rag#retrieval#semantic-search#sqlite#vector-search
Add adversarial trap cases to the eval suite 2 days ago
help wanted good first issue
Memory for AI agents that knows when NOT to answer — every lookup returns replay, restore, verify, or none with an explainable score. SQLite/FTS5, optional vectors, MCP server.
Python
#agent-memory#ai-agents#chromadb#claude-code#cursor#llm#mcp#mcp-server#memory#model-context-protocol#python#rag#retrieval#semantic-search#sqlite#vector-search