Multi-Agent Systems on GitHub in 2026: 10 Frameworks with Real Stars

Ten multi-agent frameworks on GitHub ranked by real stars, from AutoGen to AgentVerse.

💡 What You Will Learn

Ten multi-agent frameworks on GitHub ranked by real stars, from AutoGen to AgentVerse.

📜 Table of Contents

• Multi-Agent Systems on GitHub in 2026
• The frameworks
• Patterns to know
• How to start
• FAQ

Multi-Agent Systems on GitHub in 2026

Multi-agent systems let multiple AI agents collaborate on one task. Star data below is from the GitHub API snapshot on 2026-07-31.

The frameworks

1. microsoft/autogen - 60,129 stars. The most-starred multi-agent framework; conversation-based agents with AutoGen Studio.
2. joaomdmoura/crewAI - 56,432 stars. Role-based crews that delegate tasks; beginner-friendly.
3. langchain-ai/langgraph - 38,573 stars. Graph-based orchestration; the production choice, supports human-in-the-loop.
4. phidatahq/phidata - 41,526 stars. Multi-agent teams with built-in UI and monitoring.
5. OpenBMB/AgentVerse - 5,091 stars. Research framework for multi-agent simulation.
6. microsoft/TaskWeaver - 6,176 stars. Code-first multi-agent workflows.
7. ai16z/eliza - 18,856 stars. Agent framework with multi-agent social capabilities.
8. camel-ai/camel - 30k+ stars. Role-playing multi-agent framework from academic research.
9. OpenDevin/OpenHands - 82,697 stars. Multi-agent software development (planner + executor + verifier).
10. meta-llama/llama-models - 7,664 stars. Reference implementations including multi-agent examples.

Patterns to know

• Orchestrator-worker: one manager delegates to specialized workers (LangGraph)
• Conversation: agents talk to each other until consensus (AutoGen)
• Role-playing: agents simulate personas (CAMEL, AgentVerse)

How to start

Begin with CrewAI: define 2-3 roles, give them tasks, and let the crew run. Move to LangGraph when you need deterministic control.

FAQ

Is multi-agent better than single-agent? For tasks with separable subtasks, yes - research and industry both show gains; for simple Q and A, no. What is the token cost? Multi-agent multiplies token usage - each agent is a full LLM conversation. Budget 3-10x a single agent.

❓ FAQ

Is multi-agent better than single-agent?

For tasks with separable subtasks, yes - research and industry both show gains; for simple Q and A, no.

What is the token cost?

Multi-agent multiplies token usage - each agent is a full LLM conversation. Budget 3-10x a single agent.