okf-agent-memory MCP server

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

What okf-agent-memory does

Summarised from the project README; check the repository for the latest details.

Features

• Dual-Memory Cognitive Architecture (DMAA): Separates normative push working memory (`AGENTS.md` codex) from semantic pull domain memory (`knowledge/` bundle), completely eliminating prompt bloat.
• Agent Action Grammar (AAG): Ultra-compact, deterministic ASCII micro-syntax saving ~78–85% tokens compared to natural language prompt instructions.
• 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.
• Built on Google OKF v0.2: Uses the open standard format for agent knowledge with full support for provenance (`sources`), trust tiers (`generated` vs. `verified`), and lifecycle metadata (`status`, `staleafter`).

How to install okf-agent-memory

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