Engawa

The open toolkit for agent-native websites.

Bring your agent.

Engawa helps websites expose a first-class interface for AI agents alongside the human-facing site. Visitors can bring the agent they already trust instead of using another embedded chatbot.

Why Engawa

Traditional websites optimize for humans browsing HTML. Agents scraping that HTML get noisy, incomplete context. Engawa sits between your site and the agent ecosystem—like an engawa, the transitional space between inside and outside in Japanese architecture.

                    WEBSITE
                       │
          ┌────────────┴────────────┐
          │                         │
     Human interface          Agent interface
          │                         │
       HTML/UI                  Engawa
                                    │
                           ┌────────┼────────┐
                           │        │        │
                       llms.txt    MCP    content

Related MCP server: minimal-mcp-web-search

What it does

• Validates generic site configuration (EngawaConfig)

• Normalizes content through pluggable adapters

• Generates llms.txt v2 discovery files

• Exposes MCP resources and safe read-only tools (e.g. search_site)

• Documents an implementation profile for agent-native websites

Current status

Early v0.1 foundation. Not production-hardened. API may change before 1.0.

Quick example

See examples/minimal-site for Example Studio—a fictional site with llms.txt, markdown pages, and an MCP endpoint.

pnpm install
pnpm build
pnpm --filter minimal-site start

Requires Node.js 24 LTS (see CONTRIBUTING.md).

Packages

Planned (not in v0.1): React UI, Next.js adapters, CLI, analytics.

Security defaults

Public Engawa endpoints are read-only by default in v0.1. No unauthenticated mutation, no secret access, bounded search input and results. See docs/security-model.md.

Licensing

• Source code: MIT

• Documentation and profiles: CC BY 4.0

Roadmap

See docs/roadmap.md.

Contributing

See CONTRIBUTING.md.

License

MIT for software. CC BY 4.0 for docs. Copyright Thierry Gilgen ICT, 2026.