openai-agents-python vs copilotkit
Two of the top projects in Agent frameworks and SDKs, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
openai-agents-python
Python SDK for multi-agent workflows with handoffs, guardrails and tracing
copilotkit
React and Angular SDK for adding agent chat and generative UI to apps
Verdict
openai-agents-python ranks higher, 92 to 90. Of the 4 score parts we measure for both, openai-agents-python leads on 1, copilotkit on 1 and 2 are even.
- Adoptioncopilotkit leads by 3 points, 89 to 86: close to even.
- FreshnessEven at 100.
- Maintenanceopenai-agents-python leads by 9 points, 97 to 88.
- Agent-readyEven at 70.
Pick openai-agents-python if you are
Python developers building tool-using or multi-agent LLM apps
- Small API: Agent and Runner cover a text agent in a few lines
- Tools can be Python functions, MCP servers or hosted tools
Pick copilotkit if you are
Frontend and full-stack teams shipping agent UIs inside their own products
- Works with many agent backends: LangGraph, CrewAI, Mastra, Google ADK, PydanticAI, Strands, LlamaIndex
- Covers React, Angular, Vue, React Native, plus Slack and Teams channels
| What we compare | openai-agents-python | copilotkit |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 86, widely used | 89, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 97, healthy | 88, healthy |
| Agent-ready | 70, partly | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 30.6k | 38.7k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Nov 2026 | Nov 2026 |
| Last release | Oct 2026 | Nov 2026 |
| Language | Python | TypeScript |
| Docker | No | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
openai-agents-python
Python library from OpenAI for building agents with instructions, tools, guardrails and handoffs between agents. It supports the OpenAI Responses and Chat Completions APIs and, per the README, 100+ other LLMs. It also includes sandbox agents, realtime and voice agents, sessions for conversation history, human-in-the-loop controls and built-in tracing.
Who it is for: Python developers building tool-using or multi-agent LLM apps
Strengths
- Small API: Agent and Runner cover a text agent in a few lines
- Tools can be Python functions, MCP servers or hosted tools
- Built-in tracing, guardrails, sessions and human-in-the-loop support
- Includes sandbox, realtime and voice agents; MIT license, Python 3.10+
Weaknesses
- Examples assume OPENAI_API_KEY; non-OpenAI models go through optional LiteLLM or any-llm
- Pull requests limited to repository collaborators
- Python only; JS/TS version is a separate repository
- Realtime agents use gpt-realtime-2.1, an OpenAI-hosted model
- no GPU
- Needs OpenAI API key, Python 3.10+, optional: Redis, optional: SQLAlchemy, optional: websockets, optional: LiteLLM or any-llm, optional: Docker
- Models: OpenAI Responses API, OpenAI Chat Completions API, 100+ other LLMs via LiteLLM or any-llm
copilotkit
CopilotKit is a TypeScript SDK and runtime that connects an existing agent (LangGraph, CrewAI, Mastra, Google ADK, PydanticAI and others) to a frontend over the AG-UI protocol. It provides chat components, generative UI, shared agent/UI state, human-in-the-loop approvals and frontend tools for React, Angular, Vue, React Native, Slack and Teams. A separate Intelligence layer adds memory, thread persistence and Continual Learning.
Who it is for: Frontend and full-stack teams shipping agent UIs inside their own products
Strengths
- Works with many agent backends: LangGraph, CrewAI, Mastra, Google ADK, PydanticAI, Strands, LlamaIndex
- Covers React, Angular, Vue, React Native, plus Slack and Teams channels
- Three generative UI modes: registered components, A2UI specs, sandboxed MCP Apps
- Hooks such as useAgent give programmatic control beneath the prebuilt chat components
Weaknesses
- Memory, persistent threads and Continual Learning sit in Intelligence, not the MIT SDK
- Slack and Teams are GA only on cloud-hosted Intelligence
- Needs a separately built agent or the built-in agent plus an LLM API key
- Angular, Vue and React Native are listed as supported, while React/Next.js is the GA surface
- no GPU
- Needs Node.js/npm, LLM provider API key (e.g. OpenAI)
- Models: OpenAI (built-in agent), LangGraph, CrewAI, Mastra, Google ADK
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