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What you can do with AI Memory Skillpack

A bounded project-memory skill pack that gives Codex CLI, and optionally Claude Code, a size-capped, attributed memory of each repository, installed by an agent-executable installer.

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tudoumashu/ai-memory-skillpack on GitHub

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What do you want to do?

5 use cases

  • Give Codex a durable, size-capped memory of your repo

    Install the memory pack so Codex keeps a one-page project card and handoff per repo.

    View prompt
    In the ai-memory-skillpack repo, follow INSTALL.md to install the ai-project-memory skill for Codex on this machine, then enable the repo at <repo-path>. Report the install receipt location and the list of files created under docs/ai/ in <repo-path>. Verify that sha256sum -c SHA256SUMS passed before any install step ran.

  • Resume a repo in a new session from one handoff page

    Start a new Codex or Claude Code session from the repo's handoff instead of old chat logs.

    View prompt
    In the repo at <repo-path>, read docs/ai/project-card.md and docs/ai/handoff.md only, then search WARM files for <topic> with rg. Expected output: a three-line summary of the current task, the next step from handoff.md, and the file and section used. Verify that no COLD file under history/ was read unless I ask for it.

  • Check pack integrity and tests before trusting an install

    Run the hash check and coach test suite to confirm the pack has not been altered.

    View prompt
    In the ai-memory-skillpack repo, run sha256sum -c SHA256SUMS and the tests/run.sh command for project_mastery_state.py. Expected output: each hash line reported OK and the test runner exit status. Verify that the agent reports failure and makes no install changes if any hash fails.

  • Upgrade an older memory install and keep your own edits

    Move a machine to a newer pack while receipt hashes protect edited files.

    View prompt
    In the new ai-memory-skillpack checkout, follow INSTALL.md and the migration/ procedure to upgrade the memory install on this machine. Expected output: a list of files replaced, files kept because of local edits, and the archive path of the old pack. Verify that no file with a receipt hash mismatch was overwritten.

  • Use one skill source for both Codex and Claude Code

    Keep one copy of the memory skills and point Claude Code at it with symlinks.

    View prompt
    On this machine, after installing the ai-project-memory skill for Codex per INSTALL.md, confirm that the Claude Code skill directory contains symlinks to the Codex skill files and not copies. Expected output: a list of each skill path with its link target. Verify that no skill file exists as a separate copy in the Claude Code directory.

How to use AI Memory Skillpack

  1. Check you have what it needs: Linux or WSL with bash 4.4 or newer, git, rg, and sha256sum; Codex CLI installed on the machine; Optional: Claude Code, which uses the same skill source through symlinks.
  2. Open tudoumashu/ai-memory-skillpack on GitHub and read the README and license.
  3. Run git clone https://github.com/tudoumashu/ai-memory-skillpack.git
  4. Run cd ai-memory-skillpack
  5. Run sha256sum -c SHA256SUMS and confirm every listed file reports OK before continuing
  6. Tell Codex: Read INSTALL.md in this pack and follow it to install the memory system on this machine.

These steps come from our top use case, Give Codex a durable, size-capped memory of your repo, which also has a copy-paste agent prompt.

AI Memory Skillpack alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • Linux or WSL with bash 4.4 or newer, git, rg, and sha256sum
  • Codex CLI installed on the machine
  • Optional: Claude Code, which uses the same skill source through symlinks
  • Optional: Python 3.10 or newer, only for project-mastery-coach
  • macOS needs GNU sha256sum, flock, readlink -f, and a newer bash, or the installer stops
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Questions about AI Memory Skillpack

What is AI Memory Skillpack?

A bounded project-memory skill pack that gives Codex CLI, and optionally Claude Code, a size-capped, attributed memory of each repository, installed by an agent-executable installer. It is an open-source project on GitHub: https://github.com/tudoumashu/ai-memory-skillpack.

Who is AI Memory Skillpack for?

Developers and maintainers who use Codex CLI on Linux, WSL, or a compatible shell and want repo context to persist across sessions without growing without limit.

What can I do with AI Memory Skillpack?

5 use cases so far, for example: Give Codex a durable, size-capped memory of your repo; Resume a repo in a new session from one handoff page; Check pack integrity and tests before trusting an install. Each has steps and a copy-paste agent prompt.

What do I need to run AI Memory Skillpack?

Linux or WSL with bash 4.4 or newer, git, rg, and sha256sum; Codex CLI installed on the machine; Optional: Claude Code, which uses the same skill source through symlinks; Optional: Python 3.10 or newer, only for project-mastery-coach.

What are alternatives to AI Memory Skillpack?

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

Is AI Memory Skillpack 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.