logo OKF Agent Memory
Updated

OKF Agent Memory is a Git-native persistent memory layer for AI agents that stores knowledge as structured Markdown files within a repository.

Pricing Free open source
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Company okf-memory
Pricing model Open Source
Paid plans None listed
Category peers 13
01Overview

It uses a Dual-Memory Agent Architecture with in-memory BM25 search and progressive disclosure to provide fast, auditable, and context-efficient memory without external dependencies.

02Key features
  1. 01

    Sub-300µs in-memory BM25 lexical search

  2. 02

    Embedded Model Context Protocol (MCP) server

  3. 03

    Progressive disclosure to minimize token bloat

  4. 04

    Git-native storage with provenance and trust tiers

  5. 05

    Zero-dependency Go binary

03Pricing

Open Source

Free and open-source under the MIT license with no external database, API, or embedding costs.

04Who it's for

Best for

Software engineering teams and individual developers requiring auditable, version-controlled architectural decision records that persist across AI agent sessions.

Not ideal for

Projects requiring semantic (vector-based) search across synonyms, cross-repository memory sharing, or small projects where structured knowledge management adds unnecessary overhead.

05Verdict
A highly performant, Git-native solution for developers who need reliable, auditable agent memory and want to avoid the latency and costs of traditional vector databases.
ai.dosa.dev editorial · Oct 1, 2026
06Recent updates

Released version 0.2.0 in September 2026, introducing code_refs for binding concepts to source paths, a --for-path search flag for improved retrieval accuracy, and epistemic governance features.

As of

07Pricing & FAQ
Is OKF Agent Memory free?

Yes - OKF Agent Memory is Open Source. Free and open-source under the MIT license with no external database, API, or embedding costs.

Is OKF Agent Memory open source?

Yes - OKF Agent Memory is open source. Free and open-source under the MIT license with no external database, API, or embedding costs.

Who is OKF Agent Memory best for?

Software engineering teams and individual developers requiring auditable, version-controlled architectural decision records that persist across AI agent sessions.

Who is OKF Agent Memory not ideal for?

Projects requiring semantic (vector-based) search across synonyms, cross-repository memory sharing, or small projects where structured knowledge management adds unnecessary overhead.

What are the best OKF Agent Memory alternatives?

The closest OKF Agent Memory alternatives on ai.dosa.dev are Greptile, Fern, remio - all listed under AI Codebase Knowledge & Generation.

Who makes OKF Agent Memory?

OKF Agent Memory is developed by okf-memory. It is listed in the AI Codebase Knowledge & Generation category on ai.dosa.dev.

08More in Codebase AI
09Tags
  • ai-agents
  • git-native
  • bm25
  • mcp
  • knowledge-base
  • go
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