{"repo":"mlimarenko/IronRAG","free":true,"listed":false,"github":"https://github.com/mlimarenko/IronRAG","clone":"git clone https://github.com/mlimarenko/IronRAG.git","description":"One-click knowledge system for documents, internal bots, and AI agents","language":"Rust","stars":45,"topics":["ai","ai-memory","docker","graph","llm","mcp","rag","rust","graph-rag","deepseek"],"license":"MIT","category":"ai-agents","readme_excerpt":"IronRAG Self-hosted knowledge memory for AI agents and teams. One docker-compose, your data on your servers, any LLM provider. What IronRAG provides - Typed knowledge graph. Documents are decomposed into entities, typed relationships, and chunk-level evidence references. Retrieval combines vector, lexical, graph-traversal, and technical-fact lanes; the answer pipeline returns citations to the underlying chunks. - Native MCP server. 23 tools across documents, graph, web ingest, and grounded ask . Connect it to MCP-compatible agents and clients such as Claude Desktop, Claude Code, Cursor, Codex, VS Code with Continue / Cline / Roo, Zed, OpenClaw, Hermes, Lobe-style chat agents, or a custom HTTP MCP client. Tools are scoped per IAM token. - Provider-agnostic AI runtime. Eight LLM providers ship in the catalog — OpenAI, DeepSeek, Qwen (DashScope-intl), GPTunnel, OpenRouter, RouterAI, MiniMax, Ollama. Five required profiles ( extract graph , embed chunk , query compile , query answer , agent ) and optional multimodal extract text cover every model-backed stage without duplicate query-vector, rerank, or vision bindings. A vector rebuild utility safely applies embedding-space changes. - USD cost catalog. Every binding stores prices in USD. Per-call billing rows are written for every LLM request and rolled up per document and per query in the UI. - Multi-tenant IAM. Principals, scoped tokens (system / workspace / library), and permission groups gate every API surface. Audit log captu","default_branch":null,"files":null,"tree":[],"storefront":"/r/mlimarenko","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/mlimarenko/IronRAG/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}