Python Role-based
CrewAI
Sequential / Hierarchical
Choosing a framework means choosing how work will be orchestrated, not only which library gets installed.
This page compares orchestration styles, runtimes and control models so you can place each option correctly without pretending there is a universal winner.
Framework rows
4 ↑
Autonomy lens
Comparative
Editorial framing
Tooling fit
High variance •
Reliability mode
Not scored
No live benchmark
How to read this comparison
- 1
Model
Pick the control model first
Decide whether your team needs role routing, state graphs or typed outputs before comparing frameworks.
- 2
Runtime
Map the toolchain to the stack
Language matters only when it matches hosting, typing and integration constraints.
- 3
Reality check
Treat this as an editorial board, not a benchmark
The page shows architecture patterns and workflow fit. It does not claim a live reliability ranking.
Access
Move the comparison into the next read
Use this page to compare orchestration style first, then jump into prompts or the broader directory depending on the real job to solve.
Runtime distribution
Python 75%
3 frameworks in this snapshot
JS / Python 25%
1 framework in this snapshot
Table and card view
Agent framework snapshot
| Framework | Runtime | Core design | Flow logic |
|---|---|---|---|
| CrewAI | Python | Role-based | Sequential / Hierarchical |
| LangGraph | JS / Python | Stateful graph | Cycles / loops |
| AutoGen | Python | Conversational | Multi-agent chat |
| PydanticAI | Python | Type-safe | Structured control |
Filter by runtime or control model
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4 visible results
JS / Python Stateful graph
LangGraph
Cycles / loops
Python Conversational
AutoGen
Multi-agent chat
Python Type-safe
PydanticAI
Structured control