LibreAI / Dev Tools / memorax-code
// devtools · memorax-ai/memorax-code

memorax-code

Shared memory for coding agents: lessons, repo knowledge, and your preferences, carried across sessions.

★ 2.1k stars⑂ 68 forksMITupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

memorax-code is an open-source dev tools project by memorax-ai (memorax-ai/memorax-code on GitHub). It has 2,084 GitHub stars and 68 forks, is released under the MIT license, and was last updated on GitHub on 8 October 2026.

GitHub stars
2,084
Forks
68
License
MIT
Last updated on GitHub
8 October 2026
Category
Dev Tools
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Clarify your goal

    Decide whether to try the no-account guest mode first or connect an existing MemoraX account.

  2. Get the project

    Install the package globally from npm, without suppressing its install scripts.

  3. Install and configure

    Run setup, enter your account key if you have one, and let it detect and integrate your installed coding agents.

  4. Run your first task

    Restart each detected agent, work normally, then check status and try recalling a saved lesson in a fresh session.

// features

Why people love it

Four distinct memory types

Coding Memory for engineering lessons, Repo Memory for architecture knowledge, Personal Memory for your preferences, and Procedure Memory for reusable task checklists.

Background writeback

Reusable knowledge is extracted from completed turns and written to memory automatically in the background.

Cross-client shared layer

Integrates with Codex, Claude Code, CodeBuddy CLI, WorkBuddy, DeepSeek Harness, OpenCode, Trae, and Cursor through managed plugins, hooks, and a shared skill.

Repo Memory maintenance

A shared repository baseline is built and maintained from the default branch so all worktrees reuse one architecture map.

Preference and procedure continuity

Your communication preferences and task procedures are injected into future sessions on a configured cadence.

Visible memory impact and manual control

Final answers note when memory materially guided the work, and you can search or add memory explicitly through the skill or CLI.

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// run it

Run it yourself

  1. Clone the example test repo (optional, for the verification walkthrough)

    Most users just install the npm package; the README's cross-session demo uses this sample repo.

    git clone https://github.com/SWE-agent/test-repo.git
    cd test-repo
  2. Install and run setup

    Install globally, then connect an account or accept guest mode.

    npm install -g @memorax/memorax-code
    memorax-code setup
  3. Verify the integration

    Restart your coding agent, send a prompt in a project, then check status from that directory.

    memorax-code status
    memorax-cli status
// use cases

What you can build

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// faq

Questions, answered

Who maintains it?

It is maintained by memorax-ai, the team behind the MemoraX platform.

Is it free to use?

The package is MIT-licensed. It offers a 90-day guest mode without an account; continued use connects to a MemoraX account, whose platform terms apply to the hosted memory service.

Does it need a paid API key?

No LLM key is needed for MemoraX itself; account mode uses a MemoraX API key from its platform, and your coding agents keep using their own model access.

How does it compare to a well-known alternative?

Per-tool memory features remember within one product; MemoraX Code is a shared layer spanning many coding clients, with explicit coding, repo, personal, and procedure memory boundaries.

How do I get started?

Run npm install -g @memorax/memorax-code, then memorax-code setup, restart your coding agent, and work as usual.

// keep exploring

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// alternatives

Alternatives in Dev Tools

The most-starred other Dev Tools projects in the LibreAI catalogue — the realistic shortlist if memorax-code is not the right fit.

Get memorax-code

Free and open — grab the source, star the repo, and start creating.