Build agents that
survive production.
A clear, opinionated field guide to the frameworks, patterns, and evaluation practices shaping dependable AI agents.
Choose for the system
you actually have.
There is no universal best agent framework. Start with the constraint that will dominate your architecture.
OpenAI Agents SDK
A compact toolkit for tools, handoffs, guardrails, tracing, and voice agents.
Read official docs ↗LangGraph
Graph-based orchestration when execution state and human review matter.
Read official docs ↗Pydantic AI
Model-agnostic agents with validation and a strongly typed developer experience.
Read official docs ↗CrewAI
A high-level mental model for agents collaborating through roles and tasks.
Read official docs ↗AutoGen
Event-driven building blocks for conversational and distributed agent systems.
Read official docs ↗Mastra
A pragmatic application framework for agents, workflows, memory, and evaluation.
Read official docs ↗Start with
your constraint.
A useful first filter—not a verdict. Prototype the riskiest path before committing to a stack.
I need explicit state and branching
Start with LangGraph→I want a typed, Python-first stack
Start with Pydantic AI→I am building on OpenAI
Start with Agents SDK→I need role-based agent teams
Start with CrewAI→I am prototyping multi-agent systems
Start with AutoGen→My product stack is TypeScript
Start with Mastra→“The right abstraction is the one that still lets you see the failure.”
AgentsLab prioritizes debuggability, evaluation, state visibility, and operator control over demo-day magic.
Own the name behind
the agent builders.
agentslab.dev is available for acquisition—a memorable home for an agent platform, evaluation company, developer community, or research lab.