[GitHub Trending] supermemoryai/supermemory

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Memory engine for AI agents, crucial for stateful agent workflows.

AI/ML github.com

Answer the board on AI readiness

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Why It Matters

For a solutions architect building AI agents and developer tools, Supermemory eliminates the need to design custom RAG pipelines, embedding strategies, or vector DB management—offering a production-ready memory layer that integrates directly with popular coding assistants and can be self-hosted for data sovereignty.

Key Takeaways

Evaluate supermemory as a drop-in memory layer for your AI agents to avoid building custom RAG pipelines and reduce context engineering overhead.

Summary

Supermemory is an open-source memory and context engine that tops LongMemEval, LoCoMo, and ConvoMem benchmarks with 95% Recall@15 and 99.4% context reduction, generating user profiles in ~50ms. It provides a single API for fact extraction, hybrid search, and connectors (Google Drive, Notion, GitHub), plus plugins for Claude Code, Cursor, and Codex to give AI assistants persistent memory across sessions. The project offers a self-hostable binary with zero config and supports any model or fully offline Ollama.

Author

supermemoryai