Okf Agent Memory

Conversations with AI agents reset when context windows close. Valuable architectural decisions, domain discoveries, and operational facts are lost unless stored persistently.

Blazing Fast Performance (<300µs Search, ~4ms Graph Validation) : In-memory BM25 retrieval and bundle validation execute in microseconds without VM spin-up or network roundtrips.

100% Git-Native & Zero Vendor Lock-in : Everything is version-controlled plain text. Inspect, audit, and review your agent's memory using standard git diff and git log . No external database required.

Zero API Costs for Memory Retrieval : Local lexical BM25 indexing eliminates recurring vector embedding API costs and network roundtrips.

Solves Context Bloat & Memory Rot : Employs Progressive Disclosure (hierarchical index.md files and link graphs) so agents only load the exact concepts they need.

Search-Before-Write Principle : Mandates querying existing memory before authoring, preventing concept duplication and hallucinated divergence.