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OpenAgents

by Various

OpenAgents - AI Agent Networks for Open Collaboration

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OpenAgents

Added 1 June 2026

#agents #ai #collaboration #llm #network

Overview

OpenAgents is an open-source platform for building and coordinating networks of AI agents that work together on collaborative tasks. It provides a Python framework for defining agent behaviors, communication protocols, and orchestration logic.

Best for

Best for
Developers who need to build multi-agent collaborative systems for automation or research

Use cases

  • Automating multi-step business workflows with coordinated agents
  • Building research assistants that divide and conquer complex queries
  • Creating chatbots that route subtasks to specialized sub-agents

Notes

OpenAgents is an open-source platform for building and coordinating networks of AI agents that work together on collaborative tasks. It provides a Python framework for defining agent behaviors, communication protocols, and orchestration logic.

3,600 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

  • Automating multi-step business workflows with coordinated agents
  • Building research assistants that divide and conquer complex queries
  • Creating chatbots that route subtasks to specialized sub-agents

Pros

  • Open source with 3,600+ GitHub stars, indicating active community interest
  • Python-based, making it accessible to a wide range of developers
  • Designed for modular collaboration between agents, not just single-agent tasks

Cons

  • Requires Python proficiency and familiarity with agent orchestration concepts
  • Setup and configuration may have a learning curve for beginners
  • Documentation and examples may be limited compared to more mature frameworks

Indexed from awesome-generative-ai and enriched against its public facts.

Pros

  • Open source with 3,600+ GitHub stars, indicating active community interest
  • Python-based, making it accessible to a wide range of developers
  • Designed for modular collaboration between agents, not just single-agent tasks

Cons

  • Requires Python proficiency and familiarity with agent orchestration concepts
  • Setup and configuration may have a learning curve for beginners
  • Documentation and examples may be limited compared to more mature frameworks