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AgentLayer v0.1.0

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@github-actions github-actions released this 11 Jun 02:48

AgentLayer v0.1.0

AgentLayer v0.1.0 is the first public release of a deterministic toolkit for checking whether public
websites are readable, trusted, and operable by AI agents.

SEO made websites discoverable. AgentLayer makes websites operable by AI agents.

Install And Run

AgentLayer v0.1.0 is documented for repo-local use:

git clone https://github.com/Qqqq5910/agentlayer.git
cd agentlayer
pnpm install
pnpm build

Start the local example SaaS fixture:

pnpm dev:example

In another terminal, generate artifacts and run the doctor command:

pnpm agentlayer generate http://localhost:3001 --out ./agentlayer-output --max-pages 20 --allow-local
pnpm agentlayer doctor http://localhost:3001 --max-pages 20 --allow-local

Optionally start the web app:

pnpm dev

Open the demo report at http://localhost:3000/demo. The AcmeFlow fixture runs at
http://localhost:3001.

For a public site:

pnpm agentlayer generate https://example.com --out ./agentlayer-output --max-pages 20
pnpm agentlayer test https://example.com --tasks ./examples/tasks/b2b-saas.default.json --out ./agentlayer-report.json
pnpm agentlayer doctor https://example.com --max-pages 20

Highlights

  • Bounded public-site scanning with same-host, maxPages, timeout, and robots.txt guidance.
  • Sourced fact extraction with source URLs and confidence metadata.
  • Action path and form operability detection for agent-facing review.
  • Deterministic B2B SaaS task checks for pricing, docs, security, integrations, support, and
    demo/contact paths.
  • Generated llms.txt, llms-full.txt, Markdown snapshots, .well-known drafts, WebMCP
    suggestions, JSON reports, recommendations, and report.html.
  • Local Next.js demo report at http://localhost:3000/demo.
  • AcmeFlow fixture site for repeatable scanner demos at http://localhost:3001.

v0.1 Limitations

  • The recommended execution path is repo-local pnpm agentlayer; npm package execution is planned
    later.
  • Extraction is heuristic and conservative.
  • Generated MCP, WebMCP, API Catalog, and Agent Skills files are draft suggestions, not compliance
    claims.
  • AgentLayer does not guarantee compliance with MCP, WebMCP, llms.txt, or any future standard.
  • The scanner does not authenticate, submit forms, crawl private areas, bypass blocked sites, or
    perform destructive actions.
  • Task checks are currently tuned for B2B SaaS-style public websites.
  • This is not a crawler API, AI SEO rank tracker, compliance guarantee, or browser automation
    framework.

Next Roadmap

  • npm package publishing and package-manager execution.
  • WordPress plugin.
  • Webflow plugin.
  • Shopify adapter.
  • Next.js middleware.
  • Cloudflare Worker.
  • Real WebMCP integration.
  • MCP server implementation.
  • LLM judge plugin.
  • Browser-agent task replay.
  • Hosted SaaS version.

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