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
- Catalog counts come from
public/r/index.jsonandecosystem-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.
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.
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"]
npx agentskit add researchimport { 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.
- 346 validated, installable agents across 23 categories, from coding and security to legal, clinical, marketing, operations, support, and research.
- 333 independent-review summaries with scores, confidence, strengths, and required adjustments; private raw reviewer output is never published.
- Typed source + focused tests + usage guide for every installable entry.
- Eval replay fixtures for repeatable behavioral checks without live keys.
- JSON,
llms.txt, MCP, and deterministic discovery artifacts for people, tools, and LLMs to navigate the same canonical catalog.
Claims are derived from public/r/index.json and the
generated ecosystem-claims.json, not hand-maintained
marketing copy.
Exact agent IDs, titles, install commands, categories, capabilities, contribution links, and ecosystem navigation resolve from a signed local artifact. Semantic requests such as “which agent fits my incident workflow?” escalate through AgentsKit Chat to the trusted cited backend only after a validated local miss.
See architecture and ownership for the full boundary.
This repository owns catalog data and generated machine artifacts. The live
Fumadocs application and its AgentsChat presentation live in
AgentsKit-io/agentskit/apps/registry.
AgentsKit owns runtime primitives and the CLI; AgentsKit Chat owns the shared
answer protocol and renderer behavior. There is no second framework here.
New agents and improvements are welcome. Follow CONTRIBUTING.md, use a neighboring validated agent as a reference, and run:
npm run validate
npm run lint
npm test
npm run eval:run -- --ecosystem-doc-bridge
npm run build
npm run docs:bridge:gateGenerated indexes, claims, deterministic artifacts, and Doc Bridge handoffs must remain fresh in the pull request.
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.
- AgentsKit — build the agent runtime.
- Registry — start from owned, ready-made source.
- AgentsKit Chat — deliver one agent experience across Web, native, and terminal interfaces.
- Agents Playbook — apply production engineering and review discipline.
- Doc Bridge — turn documentation into executable agent handoffs.
- Code Review — run deep, low-noise review with the model already in use.
- AgentsKit OS — operate and govern agents.
Registry source targets the package ranges declared by each meta.json; the
repository CI currently runs on Node.js 22. Review an agent's generated bundle
before upgrading its dependencies. Licensed under MIT.