Open Multi Agent — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Open Multi Agent. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: May 6, 2026 • Sentiment updated: May 6, 2026

GitHub Statistics

Community Sentiment

Community Buzz: Open Multi-Agent Interactive Classroom is an open-source AI platform that turns any topic, document into rich, interactive classroom experience, as mentioned on Reddit, and 'Open Multi-Agent lets you build AI agent teams that actually coordinate' from X/Twitter

Pros & Cons

What People Love

Reddit users praise its ease of use, X/Twitter users love the auto task decomposition feature, Dev.to users appreciate the TypeScript-native approach

Common Complaints

Limited documentation, Some users found it complex

Biggest Positive: Easy orchestration

Biggest Negative: Limited docs

Why Open Multi Agent Stands Out

Open Multi-Agent enables the creation of production-grade AI agent teams that work together, supporting team collaboration, task scheduling, and inter-agent communication, making it a valuable tool for developers and researchers.

Built With

TypeScript, Node.js, OpenAI API

Getting Started

  1. Install @jackchen_me/open-multi-agent using npm
  2. Set ANTHROPIC_API_KEY and optionally OPENAI_API_KEY in your environment
  3. Import OpenMultiAgent from @jackchen_me/open-multi-agent

About

From a goal to a task DAG, automatically. TypeScript-native multi-agent orchestration with MCP and live tracing. Three runtime dependencies.

Official site: https://open-multi-agent.com

Category & Tags

Category: multi-agent

Tags: agent-framework, ai-agents, anthropic, claude, deepseek, gemini, grok, llm, local-llm, mcp, model-agnostic, multi-agent, nodejs, ollama, openai, orchestration, structured-output, task-scheduling, tool-use, typescript

Market Context

Competing with claude-agent-sdk