#844 · Primary category: AI Agents & Automation
tribe
Low code tool to rapidly build and coordinate multi-agent teams
Project last updated:10/27/25
GitHub Stars
1.1K
Forks
138
Contributors
40
License
MIT
Why we included this project
Most multi-agent frameworks force you to write the orchestration graph by hand, but Tribe flips that: you assemble your team of LLM agents in a drag-and-drop visual workspace and get running in minutes. Underneath it builds on LangGraph, so you can arrange agents in sequential pipelines or as a hierarchical team where a leader delegates subtasks, and when a built-in skill isn't enough you can still drop into Python code. Teams keep persistent conversation state, can call external tools behind human-approval gates, answer from a knowledge base through RAG, and run local open-weight models via Ollama. There's a Docker-based deployment with a public API and multi-tenancy baked in, so a small team can stand up a real service rather than a demo. If you'd rather spend your time on the agents themselves than on wiring the coordination layer, this is a good place to start.
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