Areev: immutable, content-addressed memory engine for AI agents
Areev solves the problem of volatile and untraceable memory in AI agents by storing facts as immutable, content‑addressed grains. It offers a query language (CAL) and a governed self‑improvement loop, enabling deterministic recall and auditability. The engine runs embedded or over PostgreSQL, delivering microsecond‑level reads without external services. It is ideal for developers building trustworthy, self‑learning agents who need reliable, versioned memory.
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