nothumansearch
Search and score websites by how usable they are for AI agents
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- Updated Jul 10, 2026
Search and score websites by how usable they are for AI agents
Not Human Search indexes websites using signals such as llms.txt, OpenAPI descriptions, structured APIs, and MCP endpoints, then ranks them for agent-oriented use. People can search through the site or REST API, while compatible agents can use its MCP server to find services, inspect site details, and check a URL score. It is aimed at developers building machine-readable web workflows.
Resource types
Use cases
Runtime
Build multimodal search, RAG, and deep research over your own knowledge base.
Build configurable RAG search and chat inside your own infrastructure.
Protocols & integrations
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Audience
Public GitHub facts last synced Jul 10, 2026.
Research the past month across social platforms, developer communities, and the web.
Self-host team AI chat, knowledge retrieval, research, and custom agents across LLMs.