agentralabs/agentic-memory
Persistent cognitive graph memory for AI agents — facts, decisions, reasoning chains, corrections. 16 query types, sub-millisecond. Rust core + Python SDK + MCP server.
This project helps AI agent developers overcome the challenge of agents forgetting past conversations and decisions. It provides a persistent, structured memory that stores facts, decisions, reasoning chains, and corrections in a single file. Developers can use this to build more capable AI agents that retain context and learn over time, enabling them to make more informed decisions across many sessions.
Use this if you are developing AI agents and need them to reliably remember past interactions, decisions, and reasoning paths over extended periods, across different models or sessions.
Not ideal if you only need simple, short-term conversational recall or if your agent's memory requirements do not necessitate complex causal tracing or persistent knowledge graphs.
Stars
8
Forks
1
Language
Rust
License
MIT
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
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