AgentLoom

About AgentLoom

Simple, flexible workflow orchestration for multi-agent AI apps, with YAML configuration, runtime safety, observability, and resume support.

agent-framework ai-agent automation cicd code-review developer-tools llm mcp multi-agent open-source

Quick Facts

Stars	32
Forks	2
Language	Python
Category	MCP Server
Quality Score	35.3/100
Open Issues	6
Last Updated	2026-05-21
Created	2026-05-04
Platforms	mcp, python
Est. Tokens	~1932k

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 32 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 32 stars and 2 forks, indicating an active community.

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