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What you can do with Cambium

Cambium is a Python governance standard and toolset that keeps knowledge repositories maintained by LLM agents scoped, resumable, and under operator control.

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3 use cases

  • Adopt Cambium governance for a knowledge repository

    Create, validate, and approve one Cambium profile for one knowledge repository.

    View prompt
    In the Cambium repo at <repo-path>, guide me through creating and checking a candidate profile for the knowledge repository at <target-path>, then stop before adoption. Report the output of profile_onboarding_status.py and check_profile.py and list every decision still unanswered.
  • Resume an interrupted corpus task without guessing

    Check recorded runtime state before any agent writes to a half-finished knowledge corpus.

    View prompt
    In the Cambium-governed repo at <repo-path>, run the resume status check and report the recorded task, any locks or holds, and the exact next_action. Do not write any files. Verify that the check reports no errors before you propose the next step.
  • Plan a long multi-batch corpus task with a Task Plan

    Publish a confirmed Task Plan and compile a resumable Queue for large corpus work.

    View prompt
    In the Cambium repo at <repo-path>, help me complete a Task Plan at .cambium/deltas/task-plans/TP-001.yaml for the corpus at <target-path>, then run the dry-run init_state.py command. Report the printed compile_queue command and the check_queue result, and do not apply anything without my confirmation.

How to use Cambium

  1. Check you have what it needs: Python 3 available as python3; A Cambium source checkout; A Git repository for the knowledge corpus, since adoption resolves an upstream ref to a Git commit SHA.
  2. Open KimGLee/Cambium on GitHub and read the README and license.
  3. Run python3 Tools/scaffold_profile.py . --profile-id my-profile as a dry run to preview the candidate profile.
  4. Run python3 Tools/scaffold_profile.py . --profile-id my-profile --apply to create profiles/my-profile/profile.toml.
  5. Have the agent use profiles/interview.yaml to answer the open decisions with you, then run python3 Tools/profile_onboarding_status.py . --profile-id my-profile --json and python3 Tools/check_profile.py profiles/my-profile.
  6. Prepare a plan from Tools/schemas/profile_adoption_plan.template.yaml, then run python3 Tools/apply_profile_adoption.py . --plan <plan>.yaml --upstream-root <upstream-root> --upstream-ref <upstream-ref> as a dry run. (inferred, check the README)

These steps come from our top use case, Adopt Cambium governance for a knowledge repository, which also has a copy-paste agent prompt.

Cambium alternatives · Best AI repos for Research

About this repo

  • Who it is forBuilt for operators who run LLM agents against a shared knowledge corpus and need rules, evidence, and recovery state for that work.
  • Why it is hot
  • LanguagePython
  • Sourcegithub.com/KimGLee/Cambium · Back to Hot repos

Requirements

  • Python 3 available as python3
  • A Cambium source checkout
  • A Git repository for the knowledge corpus, since adoption resolves an upstream ref to a Git commit SHA
  • Terminal access for the agent, with the operator's permission to install the toolchain
  • An operator who can answer the repository decisions Cambium leaves to the operator
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Questions about Cambium

What is Cambium?

Cambium is a Python governance standard and toolset that keeps knowledge repositories maintained by LLM agents scoped, resumable, and under operator control. It is an open-source project on GitHub: https://github.com/KimGLee/Cambium.

Who is Cambium for?

Built for operators who run LLM agents against a shared knowledge corpus and need rules, evidence, and recovery state for that work.

What can I do with Cambium?

3 use cases so far, for example: Adopt Cambium governance for a knowledge repository; Resume an interrupted corpus task without guessing; Plan a long multi-batch corpus task with a Task Plan. Each has steps and a copy-paste agent prompt.

What do I need to run Cambium?

Python 3 available as python3; A Cambium source checkout; A Git repository for the knowledge corpus, since adoption resolves an upstream ref to a Git commit SHA; Terminal access for the agent, with the operator's permission to install the toolchain.

What are alternatives to Cambium?

Other hot AI repos in Research: Scientific Agent Skills, Speaker Mem R1, DSH Council, Evo Bot, AI Engineering Course.

Is Cambium 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.