autogen vs openai-agents-js
Multi-agent AI frameworks compared
autogen and openai-agents-js both help developers build AI agent workflows with tools and delegated tasks. autogen offers Python APIs for multi-agent orchestration and is in maintenance mode, while openai-agents-js is a TypeScript SDK that also covers sandboxed tasks and realtime voice interactions.
autogen: Build Multi-Agent AI Applications
AutoGen is a Python framework for building AI agents that work independently or alongside people. It supports multi-agent orchestration, model and tool integrations, and prototyping, but is now in maintenance mode.
openai-agents-js: Build Multi-Agent and Voice Workflows
A TypeScript SDK for building LLM agents that use tools, delegate work, and manage conversations. It also supports sandboxed tasks and low-latency voice agents, making it useful for teams building more than a single prompt-and-response flow.
| autogen | openai-agents-js | |
|---|---|---|
| Language | Python | TypeScript |
| License | CC-BY-4.0 | MIT |
| Stars | 61.3k | 3.9k |
| Forks | 9.3k | 987 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- autogen is a Python framework with Core, AgentChat, and Extensions APIs; openai-agents-js is a TypeScript SDK for agent workflows.
- autogen includes AutoGen Studio for prototyping and AutoGen Bench for evaluation; openai-agents-js provides sessions and tracing for managing and inspecting runs.
- openai-agents-js documents sandbox agents with filesystem workspaces and browser-based realtime voice interactions; autogen focuses on multi-agent orchestration, with MCP support and code execution capabilities.
- autogen is licensed under CC-BY-4.0, while openai-agents-js is licensed under MIT.
- autogen is in maintenance mode, with contributions limited to bug fixes, security patches, and documentation improvements; openai-agents-js limits pull requests to repository collaborators.
- openai-agents-js requires Node.js 22 or later for its documented Node.js environment and also supports Deno and Bun; autogen provides Python resources in its project ecosystem.
Choose autogen if you…
- maintain or migrate an existing AutoGen application.
- want Python APIs for event-driven agents and higher-level multi-agent patterns.
- need AutoGen Studio for workflow prototyping or AutoGen Bench for evaluation.
Choose openai-agents-js if you…
- build agent features in a JavaScript or TypeScript application.
- need sandbox workspaces, realtime browser voice interactions, or conversation sessions.
- want guardrails, human involvement, and tracing around agent runs.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.