AgentsKit Registry MCP server

AgentsKit Registry

Profile: top-level-repository

Copy a production-minded AI agent into your project and own the source. AgentsKit Registry is a shadcn-style catalog of 346 validated agents built with AgentsKit. It adds no Registry runtime and no lock-in: the CLI copies readable TypeScript that your team can review and edit.

It is intended for teams that want a ready agent starting point without adopting a proprietary registry runtime.

Tags: agentskit · agent-registry · typescript · ai-agents · shadcn-style

Topics: ai-agents · registry · developer-experience

Browse the Registry · Start in five minutes · Contribute an agent · Security · Governance · Code of Conduct

Verified proof

• Catalog counts come from public/r/index.json and ecosystem-claims.json.
• Clean-fixture install/run contract: npm run test:quickstart (scripts/quickstart.test.mjs).
• Structural validation and Doc Bridge gates: npm run validate, npm run docs:bridge:gate.
• Deterministic discovery build: npm run discovery:build.
• Credential-free catalog proof: node examples/verify-readme.mjs.

Validate agents in GitHub Actions

Use the Registry contract as a CI gate for copy-owned agent folders in another repository. The action checks required source, test, metadata, and README files; metadata IDs and referenced files; and the Registry content policy. It does not send source code to an API or require credentials.

name: Validate agents

on:
  pull_request:
  push:
    branches: [main]

jobs:
  agentskit:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: AgentsKit-io/agentskit-registry@v1
        with:
          path: agents

The path input may point to one agent folder or to a directory whose immediate children are agent folders.

Registry is beta. All 346 entries pass structural and repository tests;

333 also publish sanitized independent-review evidence. Templates remain code

you must review against your provider, tools, data policy, and risk profile.

From catalog to code

flowchart LR
  F["Find by ID, category, or capability"] --> A["npx agentskit add <id>"]
  A --> C["Readable source copied locally"]
  C --> R["Review and adapt"]
  R --> S["Ship with your adapter and policy"]

<!-- readme-example:add-research -->

npx agentskit add research

import { openai } from '@agentskit/adapters'
import { createResearchAgent } from './agents/research/agent'

const agent = createResearchAgent({
  adapter: openai({
    apiKey: process.env.OPENAI_API_KEY!,
    model: 'gpt-4o',
  }),
})

const result = await agent.run('What changed in the EU AI Act?')
console.log(result.content)

Swap the adapter, tools, memory, model, and policy through supported AgentsKit contracts. The copied factory stays ordinary application code.

What is actually here

Shortened. The full README is on GitHub.