AI Agent Kit / Control plane

Open-source engineering platform

Give AI agents room to work. Keep control.

Repository context, explicit approval, and evidence in one workflow.

  • Open source
  • Governed
  • Inspectable
00:15 / Governed bootstrapReal product demo
Repo context
Plan
Policy gate
Evidence
AllowAskDeny
Evidence ready
A real local bootstrap flow from the public AI Agent Kit repository.
npx --yes @hunpeolabs/ai-agent-kit@latest bootstrap

01 / Why

Fast agents need firm boundaries.

Speed without repository context, permission, and proof becomes risk.

  1. 01UnderstandRead the repository.
  2. 02PlanDefine the change.
  3. 03AuthorizeAsk before risk.
  4. 04ExecuteStay in scope.
  5. 05VerifyRecord evidence.

02 / What it controls

Context. Permission. Proof.

  1. Read the repoUse repository intelligence and local constraints.
  2. Plan the changeMake expected edits and checks reviewable.
  3. Ask before riskApply Allow, Ask, or Deny decisions.
  4. Act within scopeTie execution to the approved diff.
  5. Leave evidenceKeep receipts another reviewer can inspect.

Evidence

Every action leaves a receipt.

Authorization, verification, and the resulting change stay connected.

Evidence (JSON)
{
  "policy": "ask",
  "status": "tested",
  "evidence": "recorded"
}
Approval (diff)
+ validate(input)
+ audit.log("approved")
+ tests.verify()
Test results
PASS  policy.test
PASS  validation.test

Evidence ready

03 / Current boundary

Open source. Inspectable by design.

An engineering platform—not a promise of every production outcome.

Where is the source?

The verified public source is available on GitHub.

How do I install it?

Run the bootstrap command shown above from the repository you want to govern.

How do I report an issue?

Use the public GitHub issue tracker so the report stays inspectable.

What support is available?

Use the Hunpeo Labs contact page for product or implementation questions.

Start with the source.

Inspect GitHubRead the docs