APMF (AI Project Memory Framework) provides a universal framework for managing memory, context, and state in AI projects and agent systems. It enables persistent storage and retrieval of conversation history, project artifacts, and interaction context across sessions. Designed for developers building complex AI applications that require reliable long-term memory.
APMF is an AI & ML project. It focuses on losing context and memory across AI agent sessions and project interactions. It is built as an open-source project for AI developers. APMF is open source under the MIT license. APMF is available on the command line, and it can be self-hosted.
It is developed by MellojFront, and it first shipped in 2026. The project is developed in the open on GitHub with 7 commits in the last 90 days. Among its 3 catalogued features are Project Memory, Context Management, and AI State Persistence.
Summary written by a language model from the project’s public pages.
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