Updated 2026年4月
Haystack for Multi-Agent Systems
deepset · Apache-2.0 · primary language python · token-overhead ×1.3
15-axis capability scores
- Sequential workflows9/10
- Parallel workflows7/10
- Hierarchical workflows6/10
- Adaptive workflows6/10
- State management7/10
- Human-in-the-loop5/10
- Python support10/10
- TypeScript support0/10
- .NET / Java support0/10
- MCP support5/10
- A2A support3/10
- Observability8/10
- Deployment flexibility9/10
- Maturity9/10
- Learning curve (higher = easier)6/10
Tokens per task
Haystack 相对于 1.0 基线(LangGraph)具有 ×1.3 的 token 开销系数。对于每月 50,000 个任务、15,000 个基础 token 的工作负载,在 HITL 或多智能体扇出之前大约是 每月 975.0M token。
运行向导以根据您的工作负载和所选模型获得校准估算。
Run the selector with your workloadStarter scaffold
Buzzi 为 Haystack 提供 2 智能体 hello-world ZIP(Dockerfile、锁定依赖、README、MIT 许可证)。完成向导时生成。
Closest alternatives
- Pydantic AI
×1.0 overhead · python
- CrewAI
×1.3 overhead · python
- LlamaIndex Agents
×1.4 overhead · python
Ready to commit to Haystack?
Run the wizard, download the scaffold, and book a 30-minute scoping call with Buzzi.ai.
Start the selector