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tribe
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tribe

★ 1.1k·MIT·Updated 2025-10-27

Tribe is a low-code tool for building and coordinating teams of agents through a drag-and-drop interface, built on LangGraph. The idea is to split hard tasks among agents that specialise, for example one agent gathering Premier League news while another writes the analysis, or separate agents for IT issues, complaints and product questions in customer service.

Teams can run as sequential workflows or hierarchical ones with a leader delegating to members. The README lists persistent conversations, LangSmith observability, tool calling, RAG over an internal knowledge base with configurable embedding models, human approval before a tool runs, open-source models through Ollama or other servers, public API endpoints for other applications, and multi-tenancy. Skills can be defined from a skill definition or written with LangChain.

It deploys with Docker, locally or on a server, after generating secret keys. The README warns that it is under heavy development and may change significantly, and points people who prefer code to the author's Rojak library. GitHub does not detect a licence, and our data shows the last push on 2025-10-27.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-23.

License
MIT
Latest release
v0.7.6 · 2024-10-07
Last commit
2025-10-27
Contributors
40
Forks
137
Open issues and PRs
9
First published
2024-03-24

Source: GitHub, npm and PyPI public APIs.

#multi-agent#low-code#AI orchestration#LangChain#workflow#Coding
$ Install
$ git clone https://github.com/StreetLamb/tribe.git
↗ Visit site★ GitHub
01

Features

01Persistent conversations
02Observability
03Tool Calling
04Retrieval Augmented Generation
05Open Source Models
02

Why choose it

+Drag-and-drop building of sequential and hierarchical agent teams on LangGraph.
+Human approval before tool execution, RAG and LangSmith observability built in.
+Works with open-source models through Ollama; multi-tenant with a public API.
+Docker deployment for local or remote use.
03

Trade-offs

!The README says it is under heavy development and may change significantly.
!GitHub does not detect a licence, so reuse terms are unclear.
!Our data shows the last push on 2025-10-27, so check recent activity.
04

Maintenance check

StaleChecked: 2026-10-23
Last commit
2025-01-19
Commits, last 90 days
0
Releases, last 90 days
0
Latest release
v0.7.6 (2024-10-07)
Open issues
9
Recent issues with at least one comment
3/4
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

Most discussed open issues

  • #67 How does the agent support the RAG knowledge base? Can workflow open its API for third parties to use?4 comments · 2024-07-05
  • #55 Add table pagination4 comments · 2024-06-16

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

05

Compatibility

Docker
Native Deployment
Verified via docs
Ollama
Open Source Models
Verified via docs
LangChain
Custom Skills
Verified via docs
LangSmith
Observability
Verified via docs
OpenAI API Compatible Models
Open Source Models
Verified via docs
PostgreSQL
Database
Verified via docs
06

Quick start

1
$ git clone https://github.com/StreetLamb/tribe.git
07

Use cases

↳Football analysis
↳Trip Planning
↳Customer Service
08

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On this page
01Features02Why choose it03Trade-offs04Maintenance check05Compatibility06Quick start07Use cases08Alternatives
StreetLamb /
tribe
↗

Low-code, drag-and-drop builder for LangGraph multi-agent teams with RAG, human approval, open-source models and Docker deployment

1.1k137MIT
Last commit1y ago
StatusNo updates in 1y+
CategoryMulti-Agent
Contributors40
Latest releasev0.7.6
Links
Documentation↗Discussion↗Issues↗Releases↗
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