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AI & Agents

MuscleMemory

Source: github.com/TheWariend/MuscleMemory

Last updated 2026-10-28 · benchmark measured 2026-10-28 — deterministic & reproducible

Open-source procedural memory system that helps AI agents learn from past tasks.

MuscleMemory at a glance

MuscleMemory is an open-source, local-first procedural memory system that watches AI coding agents such as Claude, Codex, and Cursor at work and automatically learns reusable skills from tasks that succeed, for developers building or using these agents.

Good for

  • Teams whose AI coding agent repeats the same kind of task across sessions and could reuse what worked before
  • Developers using Claude, Codex, or Cursor who want the agent to use fewer input tokens and tool calls on familiar tasks
  • Projects that want an agent to remember past test failures and avoid repeating the same mistakes

Questions people ask

Is MuscleMemory free to use?
It is open source under the Apache-2.0 license; the material does not state a price for using it.

Which AI coding agents does MuscleMemory work with?
It connects to Claude, Codex, and Cursor.

Does my code or data leave my machine?
No, it runs locally by default, and verified sessions learn locally without needing an LLM account.

How does MuscleMemory decide what to learn?
It checks whether tests pass after a code change; if a task succeeds, it records a skill, and that skill must match and pass its own test again in two later sessions before it is fully verified.

Do I control what the agent learns?
Yes, every captured skill, and every new version of it, waits for approval in the dashboard before any agent can use it.

Written by Legit.Show from github.com on 2026-10-31. It does not change the score.

100/100
3/7 frames
Legit Benchmark — the simple average of 3 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.
Checked 2026-10-28 · scores move as sites change

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Legit.Show scored MuscleMemory 100/100 on 2026-10-28, measured across 3 of 7 frames from its public surface. legit.show/s/gh-musclememory/2026-10-28

Is MuscleMemory production-ready?

Legit.Show scores MuscleMemory 100 out of 100 — the simple average of its 3 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on MuscleMemory (github assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Security; its weakest is Discoverability. 3 of the seven frames returned a score; Performance, Accessibility, Privacy and Reliability were not measurable on this service and are recorded as null — not as zero. Maintenance is an additional frame from the open-source teardown, scored separately from the seven. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

Open-source teardown

Scored separately — not one of the seven.

What we measured

Who it's for

AI agent developers · Coding agents · LLM-powered development tools

Sources and updates

Description
Taken from github.com's own website on 2026-10-28.
Benchmark
Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-10-28.

Put together from public information, without MuscleMemory's involvement. If anything here is wrong, tell us and a person will check it.

Visit MuscleMemory → · Alternatives to MuscleMemory → · How this was measured →

See how MuscleMemory ranks among tested ai agent memory products →

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