okf-agent-memory
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.
Not yet testedsource: GitHubhomepageGoMITcommit 007ab4325fb4
Go, MIT licensed. The project labels itself: agent memory, ai agents, bm25, coding agents, developer tools, git native, go and golang.
okf-agent-memory has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
agent-memoryai-agentsbm25coding-agentsdeveloper-toolsgit-nativegogolangknowledge-baseknowledge-graphllm-memorymarkdownmcpmcp-servermodel-context-protocolokfopen-knowledge-formatpersistent-memory
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/okf-agent-memory)Questions
- Does okf-agent-memory run?
- okf-agent-memory has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test okf-agent-memory?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for okf-agent-memory?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.