by linora-u · MCP Server · ★ 88
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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
| Stars | 88 |
| Forks | 8 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 65.8124105901652/100 |
| Open Issues | 7 |
| Last Updated | 2026-07-01 |
| Created | 2026-05-04 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
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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.
AgentLoom is primarily written in Python. It covers topics such as agent-framework, ai-agent, automation.
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.
The top alternatives to AgentLoom on Agent Skills Hub include OmoiOS, flyto-core, utcp-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.