OKF Agent Memory
Git-native dual-memory for agents — OKF v0.2 + embedded MCP
AI Agents / Agents · OSS/MIT · 824
Reviewed 2026-09-21 · last push 2026-10-12 · repo checked 2026-10-19
What's Good
MIT (okf-memory/okf-agent-memory). Pure Go, zero external database deps. Dual-memory shape: a tiny normative push layer (~100–150 tokens of invariants) plus an OKF v0.2 knowledge/ pull layer with sub-millisecond BM25 search and an embedded MCP server (okf_search / okf_show). Progressive disclosure is the point — baseline context stays near zero until the agent asks.
The Catch
Vs Engram / Mem0 / Supermemory / Letta: OKF is the git-native OKF+AAG dual-memory recipe with MCP, not a hosted memory SaaS or paging OS. You still author the Domain Codex and decide write discipline; empty knowledge/ stays empty.
Verdict
MIT git-native agent memory. Use when you want OKF bundles and MCP retrieval without another database.
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Related
AI Agents →- Mem0Memory infrastructure for AI agents that actually persists
- LangfuseOpen-source LLM observability you can self-host
- LettaEpisodic memory for agents that think across sessions
- PromptfooMIT LLM evals & red-teaming CLI; Community free, 10k probes/mo
- DeepEvalApache-2.0 pytest-style LLM/agent evals; Confident AI is the paid cloud