openai-agents-js vs harness-sdk

Agent SDKs for JavaScript/TypeScript and Python compared

openai-agents-js provides a JavaScript and TypeScript framework for tool use, agent handoffs, sandboxed tasks, and realtime voice workflows. harness-sdk offers Python and TypeScript harnesses plus lower-level SDKs, with emphasis on configurable execution in your own process and broad model-provider support.

openai-agents-jsharness-sdk
LanguageTypeScriptPython
LicenseMITApache-2.0
Stars3.9k8.6k
Forks9871.3k
Last analyzedOct 3, 2026Oct 3, 2026

Key differences

  • openai-agents-js focuses on JavaScript and TypeScript, while harness-sdk provides Python and TypeScript tools.
  • openai-agents-js highlights browser-based realtime voice agents and sandbox workspaces; harness-sdk highlights ready-made harnesses, configurable agent loops, and lifecycle controls.
  • harness-sdk documents support for Amazon Bedrock, Anthropic, OpenAI, Gemini, and additional providers; openai-agents-js describes use with OpenAI APIs and other providers.
  • harness-sdk includes a CLI for prototyping and chatting with a harness agent; openai-agents-js emphasizes sessions and tracing around agent workflows.
  • openai-agents-js is licensed under MIT, while harness-sdk is licensed under Apache-2.0.
  • Both support MCP, multi-agent workflows, guardrails, and tracing, but harness-sdk also lists structured output, evaluation, and execution limits.

Choose openai-agents-js if you…

  • need a JavaScript or TypeScript framework for agent handoffs and tool use.
  • want browser-based realtime voice interactions or sandboxed tasks.
  • need conversation sessions and tracing within agent workflows.
Read the openai-agents-js analysis →

Choose harness-sdk if you…

  • want a ready-made Python or TypeScript harness with configurable defaults.
  • need lower-level control over the agent loop or execution limits.
  • want documented integrations with multiple model providers and a CLI for prototyping.
Read the harness-sdk analysis →

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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.