AI Memory Protocol

关于

AI Memory Protocol addresses the critical challenge of context loss in AI agents by providing a sophisticated system for knowledge management. It enables agents to remember, recall, and evolve information through typed entries, graph links, and tag-based discovery, all while leveraging Git for full version history. The tool ensures machine-readable output optimized for LLM context windows, facilitating seamless integration with AI workflows and enabling autonomous capture and maintenance of knowledge.

主要功能

• Typed and graph-linked memories (e.g., facts, decisions, risks, goals)
• Tag-based discovery and context-optimized output for LLM context windows
• Git-native versioning with fully diffable and human-readable RST memory entries
• Autonomous knowledge capture from Git commits, CI logs, and discussion transcripts
• 3 GitHub stars
• Planning engine for memory graph analysis and proactive maintenance actions

使用案例

• Provide AI coding agents with persistent, context-rich knowledge recall between sessions
• Automate the capture and documentation of project knowledge from development artifacts
• Enable AI agents to proactively maintain and evolve their knowledge base through planned actions