Compare LangGraph, OpenAI Agents SDK, CrewAI, Google ADK, PydanticAI, and Mastra by workflow, language, and deployment requirements. Sources and tradeoffs included.
Choose an agent framework around the workflow you need to run: explicit state and recovery, tool handoffs, a team of agents, or typed application code. This editorial shortlist uses official documentation; it is not a performance benchmark or a verified-adoption ranking.
Documentation reviewed . This is a selected shortlist; the AI agents directory includes other frameworks, coding assistants, and agent tools.
| Framework | Consider it for | Check before choosing |
|---|---|---|
| LangGraphLangGraph official docs | Long-running, stateful agents with explicit control over deterministic and agent-driven steps. | Low-level orchestration: you design the state, control flow, and agent architecture. |
| OpenAI Agents SDKOpenAI Agents SDK official docs | Tool-calling agents with handoffs, guardrails, and tracing in one SDK. | Check whether a direct Responses API call already covers a short request/response workflow before adding orchestration. |
| CrewAICrewAI official docs | Role-based agent teams coordinated through tasks and event-driven Flows. | Hierarchical delegation requires a manager model or a custom manager agent.CrewAI requirements |
tokens& tracks ai agent frameworks with product fit, docs, pricing, alternatives, open source status, public proof, and adoption evidence where available.
Catalog ordering uses available stars, reviews, benchmarks, funding, featured status, saves, adoption-event counts, and product metadata. Those event counts do not establish verified adoption or retention. AgentRank is a separate ranking with its own published methodology. Sponsored suggestions, when present, are labeled.
For adoption evidence, see AgentRank rankings and the published methodology.
| Google ADKGoogle ADK official docs |
|---|
| Multi-agent workflows with evaluation tools and Google ecosystem integrations. |
| Check tool compatibility for your chosen SDK and model; supported combinations vary.Google ADK requirements |
| PydanticAIPydanticAI official docs | Python applications needing typed agent outputs, dependencies, and tools. | Durable execution uses an additional backend integration, such as Temporal or DBOS.PydanticAI requirements |
|---|
| MastraMastra official docs | TypeScript applications combining agents, tools, workflows, and web interfaces. | Plan deployment around a supported JavaScript runtime and its hosting requirements.Mastra requirements |
|---|
Start with one agent and a task you can evaluate. Add multi-agent coordination only when it solves a measured problem. Build a framework stack, find setup skills, or check developer credits and eligibility.
AI Agents· langchain.com
Low-level orchestration framework for building stateful, long-running AI agents and agent workflows.
