# StreetLamb/tribe

Low code tool to rapidly build and coordinate multi-agent teams

Repository: https://github.com/StreetLamb/tribe
Canonical: https://ross.abutalabs.com/products/tribe
Language: TypeScript
License: MIT
License Family: permissive
Topics: ai, ai-tools, langchain-python, langgraph, low-code, open-source, llms, agent-based-framework, agent-oriented-programming, agentic, agentic-agi, chat, chatbot, gpt, gpt-35-turbo, gpt-4, gpt-4o, llm-agent, llm-framework, no-code
Last push: 2025-10-27T07:30:01+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 49, release rhythm 40, longevity 63
- inputs: {"age_days": 893, "days_push": 310, "days_rel": 695, "gap_med": 16.0, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1084, forks 138 (observed 2026-08-28T04:03:31.143181+00:00)

## What it is
Tribe AI is a low-code web application for rapidly building and coordinating multi-agent teams using drag-and-drop, built on LangChain and LangGraph. It supports sequential and hierarchical agent workflows, custom skills, RAG, and open-source models via Ollama.

## Use cases
- build a multi-agent team with drag and drop
- orchestrate sequential agent workflows
- create hierarchical teams with a manager agent
- add custom skills to agents with langchain
- add retrieval augmented generation to agent teams
- run agents with open source models via ollama
- require human approval before tool execution

## When to choose
- you want a visual low-code UI to compose LLM agent teams
- you want self-hosted deployment with Docker and support for local models
- you need both sequential and hierarchical multi-agent coordination patterns

## When to avoid
- you prefer writing agent orchestration purely in code (consider the authors' Rojak library)
- you need a lightweight library to embed in an existing app rather than a standalone application
- you need non-LLM workflow automation

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, chatbot, rag, llm-inference, workflow-automation
- domain: artificial-intelligence, large-language-models, chatbots, self-hosted
- platform: self-hosted
- tags: multi-agent, low-code, langgraph, langchain, drag-and-drop, agent-teams, ollama, human-in-the-loop, ai-agents, retrieval-augmented-generation, docker, web-server, typescript

## Member repositories
- StreetLamb/tribe (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:31.143181+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:49:59.886603+00:00, confidence not recorded.
  - readme: https://github.com/StreetLamb/tribe (fetched 2026-08-28T04:03:31.143181+00:00, sha 3c14b981a21d)
- Data as of 2026-08-30T08:39:29.467469+00:00.