AgentLoom

by linora-u · MCP Server · ★ 88

About AgentLoom

English | 简体中文 AgentLoom Build complex multi-agent applications with simple configuration, minimal glue code, safe runtime controls, and first-class observability. AgentLoom helps developers turn multi-agent workflows into runnable, observable, resumable, and controllable applications. =3.12" src="https://img.shields.io/badge/python-%3E%3D3.12-3776AB?logo=python&logoColor=white" Quick Start AgentLoom is designed to get you from repository clone to a real multi-agent application quickly. After the firs

agent-frameworkai-agentautomationcicdcode-reviewdeveloper-toolsllmmcpmulti-agentopen-source

Quick Facts

Stars88
Forks8
LanguagePython
CategoryMCP Server
Quality Score65.8124105901652/100
Open Issues7
Last Updated2026-07-01
Created2026-05-04
Platformsmcp, python
Est. Tokens~17k

Compatible Skills

These tools work well together with AgentLoom for enhanced workflows:

  • optimus-claude — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • AssemblyZero — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is AgentLoom?

AgentLoom is Simple, flexible workflow orchestration for multi-agent AI apps, with YAML configuration, runtime safety, observability, and resume support.. It is categorized as a MCP Server with 88 GitHub stars.

What programming language is AgentLoom written in?

AgentLoom is primarily written in Python. It covers topics such as agent-framework, ai-agent, automation.

How do I install or use AgentLoom?

You can find installation instructions and usage details in the AgentLoom GitHub repository at github.com/linora-u/AgentLoom. The project has 88 stars and 8 forks, indicating an active community.

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