openai-agents-python and openagents
These are competitors offering different architectural approaches to agent orchestration: OpenAI's framework prioritizes production-grade multi-agent workflows with native integration to GPT models, while OpenAgents emphasizes decentralized agent networks and open collaboration without vendor lock-in.
About openai-agents-python
openai/openai-agents-python
A lightweight, powerful framework for multi-agent workflows
Built on provider-agnostic architecture supporting 100+ LLMs, it enables agents to delegate tasks via handoffs, execute actions through functions/MCP/hosted tools, and enforce safety with configurable guardrails. Features include automatic session management for conversation history, integrated tracing for debugging workflows, human-in-the-loop mechanisms, and real-time voice agent support via gpt-realtime-1.5.
About openagents
openagents-org/openagents
OpenAgents - AI Agent Networks for Open Collaboration
Provides a unified workspace where distributed agents (Claude Code, OpenClaw, Cursor, etc.) collaborate in real-time through shared threads, files, and a live browser—accessible via persistent URL with no account required. Built on an event-native architecture with MCP and A2A protocol support, agents coordinate via @mentions and shared context. Includes a cross-platform Launcher CLI for installing runtimes, managing credentials, and running agents as background daemons, plus a Network SDK for building custom agent systems.
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