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: Jun 27, 2026 • Sentiment updated: Jun 18, 2026

GitHub Statistics

Community Sentiment

Community Buzz: The AI world is full of old infrastructure with stochastic organs, as mentioned on Dev.to. Another user on GitHub discussed the need for autonomous executor-reviewer solutions for PEOS, showcasing the community's interest in AI development.

Pros & Cons

What People Love

AI advancements, autonomous solutions, Dev.to community support

Common Complaints

agent issues, complexity of AI development

Biggest Positive: AI advancements

Biggest Negative: agent issues

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

TypeScript multi-agent orchestration framework. Describe a goal, a coordinator decomposes it into a task DAG that runs on any LLM: Claude, ChatGPT, Gemini, DeepSeek, or local models.

Official site: https://open-multi-agent.com/?utm_source=github

Category & Tags

Category: multi-agent

Tags: agent-framework, agent-orchestration, agentic-ai, ai-agents, anthropic, autogen-alternative, claude, crewai-alternative, deepseek, gemini, langgraph-alternative, llm, local-llm, mcp, model-agnostic, multi-agent, nodejs, ollama, openai, typescript

Market Context

Competitive AI market with various frameworks and tools, including OpenClaw and Hermes Agent.