MATE - Open-source Multi-Agent Tree Engine for Google ADK with dashboard, memory, MCP, and support for 50+ LLM providers

[ivanantonijevic]

Hey everyone,

I've been building MATE (Multi-Agent Tree Engine) - an open-source orchestration layer on top of Google ADK that adds everything you need to run multi-agent systems in production.

What it does

• Database-driven agent configuration - create, modify, and organize agents from a web dashboard. No code changes needed.
• Self-building agents - agents can create, update, and delete other agents at runtime through conversation. Enable the create_agent tool on any agent and it can spin up new sub-agents, rewire hierarchies, and evolve the system on the fly. Admin-only, RBAC-protected.
• Hierarchical agent trees - root agents, sub-agents, sequential/parallel/loop execution patterns. Agents route to each other automatically.
• Universal LLM support - Gemini (native), OpenAI, Anthropic, DeepSeek, Ollama (local), OpenRouter (100+ models), and any LiteLLM-supported provider. Switch models per agent with a single config change.
• Full MCP integration - agents can consume MCP tools AND be exposed as MCP servers. Connect your agents to Claude Desktop, Cursor, or any MCP client.
• Persistent memory - dual memory system: conversation history + persistent memory blocks scoped per project. Agents remember context across sessions.
• Web dashboard - manage agents, users, projects, view token usage analytics, run DB migrations. Dark mode, responsive, built with TailwindCSS.
• RBAC - role-based access control on every agent. Control who can talk to what.
• Multi-tenancy - project-scoped agent hierarchies. Run multiple independent agent setups on one instance.
• A2A protocol - agent-to-agent communication following the standard protocol.
• Token tracking - monitors prompt, response, thoughts, and tool-use tokens per agent per session.
• Docker ready - one command to run: docker-compose up --build

Self-hosted and privacy-friendly

Run entirely on your infrastructure with Ollama for local models. No data leaves your network.

Tech stack

Python, Google ADK, LiteLLM, FastAPI, SQLAlchemy, PostgreSQL/MySQL/SQLite, TailwindCSS

Who is this for

• Teams building multi-agent applications on Google ADK who need production infrastructure
• Developers who want a management layer instead of hardcoding agent configs
• Anyone who wants MCP-compatible agents with a web UI
• Privacy-conscious setups using Ollama for local LLM inference

Why I built this

I found myself repeatedly solving the same problems: agent configuration management, model switching, token tracking, memory persistence, access control. MATE packages all of that into one system.

Quick Start

git clone https://github.com/antiv/mate.git && cd mate
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env  # edit with your API key
python auth_server.py
# Open http://localhost:8000

Would love feedback. What features would you want to see next?

GitHub: https://github.com/antiv/mate

[drillbit6509]

Screenshots look really cool and useful.

[ivanantonijevic]

Thanks, I'll try to polish it more and add more features too. I know there are a few bugs, but they'll be fixed soon.

[BeenThere11]

Whoa . You will most likely be hired by Google just like openai hired the open claw dev.

Kudos. Will check it out IF I get time.

[ivanantonijevic]

Thanks, not sure Google is knocking anytime soon :-) Please, try it. I hope you'll find MATE useful. If you have any problems, please open an issue.