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What you can do with Okf Agent Memory

A Go command-line tool and library that keeps AI agent project memory as a Git-native OKF v0.2 knowledge bundle, with validation, search, and an embedded MCP server.

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okf-memory/okf-agent-memory on GitHub

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What do you want to do?

4 use cases

  • Validate a project knowledge bundle before each commit

    Check OKF conformance, broken links, orphans, and description drift on every change.

    View prompt
    Use the okf-memory/okf-agent-memory repo to validate the knowledge bundle at <path-to-repo>/knowledge. Run the strict and drift validation, then the scorecard, and report the grade and every broken link or orphan. Verify that the command exit status is 0 before reporting the bundle as clean.

  • Let a coding agent search project decisions before writing code

    Store decisions as OKF concepts and have the agent search them before it edits anything.

    View prompt
    Using the okf-memory/okf-agent-memory repo, search the project knowledge for <topic> with the okf search command before you write any code. Report the concept IDs returned and the decision each one records. Verify that you read the full concept with the show command before making changes.

  • Look up rules across project, vendor, user, and system scopes

    Find a concept in the right layer, with higher-priority scopes shadowing lower ones.

    View prompt
    Using the okf-memory/okf-agent-memory repo, search for <topic> across all scopes, then show the concept the search ranks first. Report which scope it came from and whether a higher-priority scope shadows any other matching concept. Verify the scope label before using the concept.

  • Measure token and latency savings on a local model

    Run the bundled benchmark suite to check the claimed token reduction on your own hardware.

    View prompt
    Using the okf-memory/okf-agent-memory repo, run the make benchmark target against the local model server at <endpoint>. Report time-to-first-token and token counts for the run and compare them with the README's claimed reduction. Verify that the benchmark used the local model and not a remote API.

How to use Okf Agent Memory

  1. Check you have what it needs: A Git repository where the agent works; A Go toolchain and make, since the README builds the tool with make build; Clone access to github.com/okf-memory/okf-agent-memory.
  2. Open okf-memory/okf-agent-memory on GitHub and read the README and license.
  3. Clone the repository and run make build to create bin/okf.
  4. Run ./bin/okf validate knowledge --strict --drift to check conformance, graph connectivity, and description drift.
  5. Run ./bin/okf validate knowledge --scorecard to see the three-pillar breakdown and grade.
  6. Run ./bin/okf validate knowledge --scorecard --json to get machine-readable output for a pipeline.

These steps come from our top use case, Validate a project knowledge bundle before each commit, which also has a copy-paste agent prompt.

Okf Agent Memory alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • A Git repository where the agent works
  • A Go toolchain and make, since the README builds the tool with make build
  • Clone access to github.com/okf-memory/okf-agent-memory
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Questions about Okf Agent Memory

What is Okf Agent Memory?

A Go command-line tool and library that keeps AI agent project memory as a Git-native OKF v0.2 knowledge bundle, with validation, search, and an embedded MCP server. It is an open-source project on GitHub: https://github.com/okf-memory/okf-agent-memory.

Who is Okf Agent Memory for?

Developers and teams who run AI coding agents on a Git repository and want decisions and facts to persist between sessions.

What can I do with Okf Agent Memory?

4 use cases so far, for example: Validate a project knowledge bundle before each commit; Let a coding agent search project decisions before writing code; Look up rules across project, vendor, user, and system scopes. Each has steps and a copy-paste agent prompt.

What do I need to run Okf Agent Memory?

A Git repository where the agent works; A Go toolchain and make, since the README builds the tool with make build; Clone access to github.com/okf-memory/okf-agent-memory.

What are alternatives to Okf Agent Memory?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Okf Agent Memory safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.