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Developer releases Mneme, an open-source portable memory layer for AI agents

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A developer has built and open-sourced Mneme, a portable memory layer designed to address memory management shortcomings in AI agents. Unlike standard vector databases, Mneme supports structured memory types — episodic, semantic, and procedural — along with consolidation, controlled forgetting with audit trails, and cross-framework portability. The tool uses a local-first SQLite backend, requires zero configuration, and offers a simple three-verb API: remember, recall, and forget. Mneme is available via PyPI and achieves a retrieval precision of 1.00 with an average recall latency of 7.34 ms in synthetic tests. The developer plans to add an HNSW vector index, a TypeScript SDK, and additional backend adapters in future releases.

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Developer releases Mneme, an open-source portable memory layer for AI agents · ShortSingh