cortexm is an open-source Python package for deterministic agent memory that stores facts compactly without using an LLM during ingestion. It targets developers building AI agents, knowledge graphs, and retrieval systems with temporal and provenance-aware memory.
In the Memory & skills space, cortexm takes a focused approach. It focuses on storing agent memories compactly and deterministically without the cost or variability of LLM-based ingestion. cortexm is an open-source project aimed at AI agent developers. The project is open source (Apache-2.0). cortexm is available on the command line and API, and it can be self-hosted.
cortexm first shipped in 2026. Among its 9 catalogued features are Deterministic Memory, Compact Fact Storage, and Zero-LLM Ingest. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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