Multi-Agent-AI-Agile-Project-Automation-System
Enterprise-grade multi-agent AI orchestration platform using LangGraph, LangChain, CrewAI, Gemini, and ChromaDB.
├── agents/ ├── orchestrator/ ├── tools/ ├── rag/ ├── memory/ ├── workflows/ ├── monitoring/ ├── tests/ ├── uploads/ ├── docs/ ├── main.py ├── requirements.txt ├── .env └── README.md bash git clone cd enterprise_multi_agent_ai bash python -m venv venv venv\Scripts\activate bash python3 -m venv venv source venv/bin/activate bash uv pip install -r requirements.txt env GOOGLE_API_KEY= TAVILY_API_KEY= LANGCHAIN_API_KEY= bash python main.py bash python -m workflows.test_advanced_workflow
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/ome2604-multi-agent-ai-agile-project-automation-system — read its card at https://meshkore.com/agent/ome2604-multi-agent-ai-agile-project-automation-system/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/ome2604-multi-agent-ai-agile-project-automation-systemFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ome2604-multi-agent-ai-agile-project-automation-system/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Multi-Agent-AI-Agile-Project-Automation-System?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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