Lightweight framework for multi-agent workflows with five core primitives
Key Features
Multi-Agent
Single Agent
Human-in-the-Loop
Streaming
Async Support
Type Safe
Short-Term Memory
Long-Term Memory
Shared Memory
Plugin System
Custom Tools
MCP Protocol
A2A Protocol
Code Execution
Web Browsing
File System Access
Sandboxing
Guardrails
Structured Output
DAG Workflows
Visual Builder
CLI
API Server
Self-Hosted
Cloud Hosted
Community Feedback
Strengths
- Very popular and fast-growing
- Lightweight and elegant (5 primitives)
- Excellent handoff mechanism
- Built-in tracing
- Voice/realtime support
Weaknesses
- Primarily optimized for OpenAI models
- Relatively new
- Less mature ecosystem
- Sessions feature still evolving
OpenAI Agents SDK Details
| Organization | OpenAI |
| Organization Type | Company |
| Funding | Series b+ |
| Category | SDK |
| Subcategory | Multi agent |
| Deployment | SDK/Framework |
| Primary Language | Python |
| Runtime | Python 3.10+ |
| License | MIT |
| Commercial Use | Unrestricted |
| Install Command | pip install openai-agents |
| GitHub Stars | 20,300 |
| GitHub Forks | 3,300 |
| Release Cadence | Biweekly |
| Maturity | Stable |
| Pricing Model | Free |
| Free Tier | Fully open-source MIT |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Large (20k stars) |
| Community Activity | Very active |
| Sentiment | Positive |
| GPU Required | No |
| Confidence | High |
| Research Date | 2026-03-24 |
| LLM Providers | OpenAI, multi-provider support |
| API Keys Required | OpenAI API key |
Use Cases
- Multi-agent orchestration with handoffs
- Production agent workflows
- Voice and realtime agents
- Guardrail-protected agent interactions
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When to Use
Best for: OpenAI-focused teams wanting elegant multi-agent patterns
Avoid when: Need multi-provider support or maximum ecosystem
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260324