🧠 Mnema — Long-term memory for AI via MCP × Vector DB. Solves the context-window problem with pluggable vector backends (Chroma/Qdrant/sqlite-vec), hybrid search, decay scoring, and summarization.

agent-memory ai-memory anthropic chromadb claude claude-desktop context-window cursor llm long-term-memory mcp mcp-server memory model-context-protocol qdrant rag semantic-search sentence-transformers sqlite-vec vector-database
4 Open Issues Need Help Last updated: Jul 13, 2026

Open Issues Need Help

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enhancement good first issue phase-2

🧠 Mnema — Long-term memory for AI via MCP × Vector DB. Solves the context-window problem with pluggable vector backends (Chroma/Qdrant/sqlite-vec), hybrid search, decay scoring, and summarization.

Python
#agent-memory#ai-memory#anthropic#chromadb#claude#claude-desktop#context-window#cursor#llm#long-term-memory#mcp#mcp-server#memory#model-context-protocol#qdrant#rag#semantic-search#sentence-transformers#sqlite-vec#vector-database
enhancement good first issue phase-2

🧠 Mnema — Long-term memory for AI via MCP × Vector DB. Solves the context-window problem with pluggable vector backends (Chroma/Qdrant/sqlite-vec), hybrid search, decay scoring, and summarization.

Python
#agent-memory#ai-memory#anthropic#chromadb#claude#claude-desktop#context-window#cursor#llm#long-term-memory#mcp#mcp-server#memory#model-context-protocol#qdrant#rag#semantic-search#sentence-transformers#sqlite-vec#vector-database
Add pgvector backend about 2 hours ago
enhancement good first issue backend phase-2

🧠 Mnema — Long-term memory for AI via MCP × Vector DB. Solves the context-window problem with pluggable vector backends (Chroma/Qdrant/sqlite-vec), hybrid search, decay scoring, and summarization.

Python
#agent-memory#ai-memory#anthropic#chromadb#claude#claude-desktop#context-window#cursor#llm#long-term-memory#mcp#mcp-server#memory#model-context-protocol#qdrant#rag#semantic-search#sentence-transformers#sqlite-vec#vector-database
enhancement good first issue cli

🧠 Mnema — Long-term memory for AI via MCP × Vector DB. Solves the context-window problem with pluggable vector backends (Chroma/Qdrant/sqlite-vec), hybrid search, decay scoring, and summarization.

Python
#agent-memory#ai-memory#anthropic#chromadb#claude#claude-desktop#context-window#cursor#llm#long-term-memory#mcp#mcp-server#memory#model-context-protocol#qdrant#rag#semantic-search#sentence-transformers#sqlite-vec#vector-database