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Agentic Readiness Score
+25 llms.txt +15 structured API missing +20 ai-plugin
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llms.txt Content

# TrustGraph - The semantic infrastructure for agents Building applications that need to know things requires more than a database. TrustGraph is the semantic infrastructure for agents: graph-native infrastructure for storing, enriching, and retrieving structured knowledge at any scale. Think like Supabase but built around context graphs: multi-model storage, semantic retrieval pipelines, portable context cores, and a full developer toolkit out of the box. Deploy locally or in the cloud. No unnecessary API keys. Just context, engineered. Free • Open Source • Apache 2.0 The platform: - Multi-model and multimodal database system - Tabular/relational, key-value - Document, graph, and vectors - Images, video, and audio - Automated data ingest and loading - Quick ingest with semantic similarity retrieval - Ontology structuring for precision retrieval - Out-of-the-box RAG pipelines - DocumentRAG - GraphRAG - OntologyRAG - 3D GraphViz for exploring context - Fully Agentic System - Single Agent - Multi Agent - MCP integration - Run anywhere - Deploy locally with Docker - Deploy in cloud with Kubernetes - Support for all major LLMs - API support for Anthropic, Cohere, Gemini, Mistral, OpenAI, and others - Model inferencing with vLLM, Ollama, TGI, LM Studio, and Llamafiles - Developer friendly - REST API Docs: https://docs.trustgraph.ai/reference/apis/rest.html - Websocket API Docs: https://docs.trustgraph.ai/reference/apis/websocket.html - Python API Docs: https://docs.trustgraph.ai/reference/apis/python - CLI Docs: https://docs.trustgraph.ai/reference/cli/ ## About TrustGraph - Graph-native infrastructure for storing, enriching, and retrieving structured knowledge at any scale - Multi-model storage, semantic retrieval pipelines, portable context cores - Deploy locally or in the cloud — no unnecessary API keys - Full developer toolkit out of the box ## Official Resources - Website: https://trustgra