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OpenAgents

OpenAgents is an open-source platform for creating and connecting AI agent networks, supporting multiple protocols and plugin extensions.

Overview

OpenAgents is an open-source platform that enables developers and researchers to deploy, connect, and manage networks of autonomous AI agents. It features a modular architecture with plugin (mod) support and is protocol-agnostic, allowing integration with popular LLM providers and varied transport layers to simplify building collaborative multi-agent systems.

Key Features

  • Quick network and Studio launch to create interactive agent communities.
  • Protocol-agnostic networking (WebSocket, gRPC, HTTP, libp2p) for flexible deployments.
  • Mod-driven extensibility for shared documents, collaborative workflows, and interactive experiences.
  • Support for hybrid model usage combining cloud LLMs and local runtimes for flexible cost/performance trade-offs.

Use Cases

  • Research on multi-agent collaboration, task decomposition, and emergent behaviors.
  • Rapid prototyping of agent-based applications for document collaboration, retrieval-augmented assistants, or community bots.
  • Integration layer for assembling multi-model capabilities and sharing agent behaviours across a community.

Technical Characteristics

  • Event-driven architecture for reliable message delivery and scalable coordination between agents.
  • Provides a Python SDK and Studio frontend, with deployment options via Docker or PyPI packages.
  • Designed to interoperate with different model providers and inference backends to balance latency, throughput, and cost.

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OpenAgents
Resource Info
🤖 Agent Framework 🦾 Agents 🧬 LLM 🌱 Open Source