OpenAI Agents SDK
Multi-agent SDK from OpenAI
The OpenAI Agents SDK is a lightweight framework for agents and multi-agent workflows in Python and TypeScript. It relies on a few primitives: agents with tools, handoffs to delegate to other agents, guardrails to validate inputs and outputs, and sessions as memory. Tracing is built in, MCP servers can be connected directly, and besides the OpenAI Responses API other model providers are supported. OpenAI describes the SDK as the production-ready evolution of Swarm.
Good fit if
Focus: Developers building multi-agent workflows with little abstraction, especially on OpenAI models
- your project is about Customer service with agent handoffs, Research agents or Voice agents
- someone on your team writes code
- you want to get started quickly (learning curve: flat to medium)
Probably not if
- nobody on your team writes code (1/5 for use without developers)
Key figures
- Usable without developers
- 1/5
- Scalability
- 4/5
- Integrations
- 4/5
- Versioning
- 2/5
- Observability
- 4/5
Editorial rating on a scale from 1 to 5. Methodology
Fact sheet
- Category
- Developer
- Type
- Multi-agent SDK from OpenAI
- Licence
- Open Source (MIT)
- Pricing
- Open SourceSDK free (MIT). Costs arise from the model APIs used.
- Deployment
- Self-Hosted, Cloud, Any
- Models
- OpenAI, Weitere Anbieter über LiteLLM und Chat-Completions-kompatible APIs
- RAG
- Yes
- Multi-Agent
- Yes
- SSO, roles (RBAC)
- SSO no, RBAC no
- Latest version
- 0.23.1 (Python)
- GitHub stars
- 29,900
Key features
- Agent handoffs
- Input and output guardrails
- Built-in tracing
- Sessions and MCP support
- Realtime and voice agents
Typical use cases
- Customer service with agent handoffs
- Research agents
- Voice agents
- Multi-agent workflow prototypes
Implementation
Get OpenAI Agents SDK implemented
Free for you. Partners only pay for requests they accept.
Alternatives
Similar systems
Similar in category, features or use cases.
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