# darwin-lau/langmanus

A community-driven AI automation framework that builds upon the incredible work of the open source community. Our goal is to combine language models with specialized tools for tasks like web search, crawling, and Python code execution, while giving back to the community that made this possible.

Repository: https://github.com/darwin-lau/langmanus
Canonical: https://ross.abutalabs.com/products/langmanus
Language: Python
License: MIT
License Family: permissive
Last push: 2025-03-17T22:48:24+00:00

## Health v2 (maintenance only)
Score: 25/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 11, release rhythm 35, longevity 38
- inputs: {"age_days": 534, "days_push": 534, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1316, forks 1190 (observed 2026-08-28T04:04:20.883674+00:00)

## What it is
LangManus is a community-driven Python framework for building hierarchical multi-agent AI automation systems, where a supervisor coordinates specialized agents like researcher, coder, browser, and reporter. It integrates LLMs with tools for web search, crawling, and Python code execution, and includes a web UI.

## Use cases
- build a multi-agent ai assistant
- automate research tasks with llm agents
- agent that searches the web and runs python code
- orchestrate specialized llm agents with a supervisor
- create automated report generation from web research
- experiment with hierarchical agent architectures

## When to choose
- you want a ready-made hierarchical multi-agent system in Python
- you need agents combining web search, browsing, and code execution
- you want to use open-source models via OpenAI-compatible APIs

## When to avoid
- you need a simple single-agent chatbot
- you require a production-hardened, enterprise-supported framework
- you work outside the Python ecosystem

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, web-scraping, search-engine, llm-inference, chatbot
- domain: artificial-intelligence, large-language-models, developer-tools
- platform: python, cross-platform
- tags: multi-agent, hierarchical-agents, supervisor-agent, web-search, python-code-execution, openai-compatible, tavily, langgraph, ai-agents, automation, docker

## Member repositories
- darwin-lau/langmanus (main) score 25

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:20.883674+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 2026-08-30T04:48:27.838226+00:00, confidence not recorded.
  - readme: https://github.com/darwin-lau/langmanus (fetched 2026-08-28T04:04:20.883674+00:00, sha 01d0e6234a2a)
- Data as of 2026-08-30T08:39:29.467469+00:00.