{"repo":"hoangsonww/AI-Agents-Orchestrator","free":true,"listed":false,"github":"https://github.com/hoangsonww/AI-Agents-Orchestrator","clone":"git clone https://github.com/hoangsonww/AI-Agents-Orchestrator.git","description":"🪈 Intelligent orchestration system that coordinates multiple AI coding assistants (Claude, Codex, Gemini CLI, Copilot CLI) to collaborate on complex software development tasks via REPL or a Vue/Nuxt UI dashboard. Also includes an Agentic Team runtime with role-based multi-agent open communication & lead-gated final responses.","language":"Python","stars":78,"topics":["agentic-ai","ai-agents","claude","codex","copilot","docker","flake8","flask","gemini","kubernetes"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"AI Coding Tools Orchestrator and Agentic Team Runtime Five independent systems — an AI Orchestrator, an Agentic Team runtime, an MCP Server, a Context Dashboard, and Graphify (project-to-graph intelligence engine) — that coordinate cloud and local AI coding assistants (Claude, Codex, Gemini, Copilot, Ollama, llama.cpp) to collaborate on software development tasks. Includes enterprise-grade agentic infrastructure with specialized agents, skills library, 34+ MCP tools, project-scoped graph-based context memory, and Graphify's 22-language code analysis with persistent queryable knowledge graphs, interactive visualization, and REST API. Overview Architecture Agentic Infrastructure System Comparison Features Quick Start Project Structure Configuration Deployment Testing MCP Server --- Overview AI Coding Tools ships five independent systems in a single repository: 1. The Orchestrator runs step-based workflows where AI agents execute tasks in sequence (implement, review, refine). 2. The Agentic Team runs a free-communication runtime where role-based agents (Project Manager, Architect, Developer, QA, DevOps) discuss a task in turns until the team lead declares the work complete. 3. Graphify turns any project directory into a queryable knowledge graph — classes, functions, imports, call graphs, and design rationale stored in a local SQLite database with FTS5 search. 4. The MCP Server bridges both engines to IDE-based AI assistants. 5. The Context Dashboard visualizes the graph memory.","default_branch":null,"files":null,"tree":[],"storefront":"/r/hoangsonww","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hoangsonww/AI-Agents-Orchestrator/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."}