aa-ma-forge
agentic-ai
llm
memory
open-source
Advanced Agentic Memory Architecture. Long-term, structured memory for LLM agents.
What it is
aa-ma-forge (AA-MA: Advanced Agentic Memory Architecture) is an in-progress framework for giving LLM agents structured, persistent, queryable memory, beyond a vector store.
The goal: agents that genuinely accumulate knowledge across sessions, with clean separation between episodic, semantic, and procedural memory.
Status
Active R&D. See the repo for the current state.
Why it matters
Most “agent memory” today is just RAG with extra steps. Real agentic systems need memory that supports recall, consolidation, forgetting, and reasoning over what was learned.