Category
Agent Frameworks For Building Production Workflows
Agent frameworks are the application-layer tools developers use to structure agent systems: tool calling, state, handoffs, workflow graphs, evaluation loops, runtime control, and the surrounding application logic needed to move from a prototype to a repeatable product. The real decision in this category is not whether to use a framework at all, but which kind of framework model best matches the team: orchestration depth, official vendor primitives, typed Python structure, TypeScript-native product fit, or a broader runtime and control-plane posture.
Who This Category Is For
- Developers choosing a build path
- Startups deciding which stack to standardize on
- Teams comparing orchestration depth versus workflow speed
Selection Criteria
- clear framework model instead of vague agent abstractions
- fit for real application architecture, not only demos
- credible support for tools, state, handoffs, or workflow control
- enough ecosystem and documentation quality to support implementation
- a distinct decision angle that helps a builder narrow the stack quickly
Featured Tools
This block is curated, not auto-sorted. It is meant to route broad category intent toward the strongest current anchors.
LangGraph
Low-level orchestration framework and runtime for building, managing, and deploying long-running, stateful agents.
Deployment: Local / Cloud
Pricing: Open Source
Source: Open source
OpenAI Agents SDK
Open-source framework from OpenAI for building agentic applications with tools, handoffs, guardrails, sessions, and tracing.
Deployment: Local / Cloud
Pricing: Open Source
Source: Open source
Pydantic AI
Python agent framework from the Pydantic team for building production-grade GenAI workflows with strong typing, MCP support, and observability integrations.
Deployment: Local / Cloud
Pricing: Open Source
Source: Open source
AutoGen
Microsoft framework for building event-driven, distributed, and scalable agent systems with multi-agent patterns.
Deployment: Local / Cloud
Pricing: Open Source
Source: Open source
CrewAI
Framework for building collaborative AI agents, crews, and flows with production-oriented automation features.
Deployment: Local / Cloud
Pricing: Mixed
Source: Open source
Related Best Pages
Move from broad category understanding into shortlist intent.
Start Here Guides
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Related Compare Pages
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Compare
LangGraph vs AutoGen
Pick LangGraph if the system should be expressed as a controllable workflow with state, checkpoints, and explicit execution paths. Pick AutoGen if the system should be expressed as agents, roles, and message-driven collaboration.
CompareCompare
OpenAI Agents SDK vs Pydantic AI
Pick OpenAI Agents SDK if official OpenAI primitives should define the framework layer. Pick Pydantic AI if typed Python structure and provider flexibility should define it instead.
Compare