LibreAI / Dev Tools / cavemem
// devtools · JuliusBrussee/cavemem

cavemem

Persistent memory for coding agents — frozen, but its core lives on in Caveman.

💎 Hidden gem★ 678 stars⑂ 61 forksMITupdated 2026-08
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

cavemem is an open-source dev tools project by JuliusBrussee (JuliusBrussee/cavemem on GitHub). It has 678 GitHub stars and 61 forks, is released under the MIT license, and was last updated on GitHub on 14 August 2026.

GitHub stars
678
Forks
61
License
MIT
Last updated on GitHub
14 August 2026
Category
Dev Tools
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Read the archive note

    The project is frozen; the core moved to Caveman.

  2. Visit the successor

    Caveman carries the compressed-memory engine forward.

  3. Study the approach

    The repo documents cross-agent memory design.

  4. Adopt Caveman

    New setups should start with the successor project.

// features

Why people love it

Cross-agent memory

One memory layer shared by many assistants.

Compressed storage

Memory kept compact for long histories.

Frozen status

Archived — no further development here.

Successor project

The core now ships inside Caveman.

Design reference

Useful for studying agent memory patterns.

MIT licensed

Free to fork and learn from.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/JuliusBrussee/cavemem.git
    cd cavemem
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Is cavemem still maintained?

No — it is frozen; the memory core now ships inside Caveman.

Should I install cavemem?

For new projects, use the Caveman successor instead.

Is it free to use?

MIT licensed — free with attribution.

What was it for?

Persistent, compressed memory shared across coding assistants.

Where do I get support?

Check the successor project Caveman for active development.

// 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 cavemem is not the right fit.

Get cavemem

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