Kromatic-Innovation/athenaeum

Athenaeum

<p align="center"> <img src="docs/assets/athena.png" alt="Athena with her owl companion, holding an open book showing a knowledge graph" width="480"> </p>

Production-grade agentic memory for teams deploying multiple AI agents. Athenaeum follows trunk-style development with develop as the active branch and main as the released-revision pointer. Append-only intake, a tiered librarian that compiles raw observations into a trustworthy wiki, and a sidecar that makes recall happen passively on every turn.

Is this for me? If you're running more than one agent on shared knowledge — or if you want agents and humans reading and writing the same institutional memory — yes. If you're building a single-user chatbot, mem0 or Letta may be a better fit.

Why Athenaeum

Four design choices separate a production memory system from a single-user markdown file. Each one fixes something that quietly breaks when a team scales past one agent:

1. Sources as first-class objects — every claim carries provenance, the way Wikipedia does. An unfootnoted fact is an assertion.
2. The librarian — a tiered compilation pipeline — agents can only append to raw intake. A separate compiler is the only writer to the wiki. Safety from structure, not trust.
3. Passive recall — a hybrid FTS5+vector search fires on every tur