// Agent Frameworks DirectoryLangGraph · LangChain · PydanticAI · CrewAI · AutoGen·Every major framework scored and compared·Editorial scores · MCP support · Language coverage·Production-first verdicts// Agent Frameworks DirectoryLangGraph · LangChain · PydanticAI · CrewAI · AutoGen·Every major framework scored and compared·Editorial scores · MCP support · Language coverage·Production-first verdicts
Agent Framework Directory
AGENT
FRAMEWORKS
Every major agent framework scored and reviewed for production use. We evaluate language support, MCP compatibility, hosting model, community health, and release cadence, so you can pick the right foundation for your stack.
7
Frameworks reviewed
Scored 1–5 · MCP flags · Version tracking
// Featured
Open Source
MCP5/5
LangGraph
Graph-based agent orchestration layer from the LangChain team. Models agent execution as a state machine — nodes are steps, edges are transitions, state is persisted. The consensus production framework for stateful agents in 2026.
Best for: Production agent workloads requiring stateful, deterministic execution with persistence, memory, and durable step logic
PythonTypeScript
Hosting: Self-hosted + Cloud·v0.4.21
Open Source
MCP4/5
LangChain
The original agent engineering platform for building pipelines, chains, and tool-using agents with Python or TypeScript. The widest ecosystem of integrations with the most documented production gotchas.
Best for: Teams that need maximum integration breadth and can afford to manage the complexity debt
PythonTypeScript
Hosting: Self-hosted·v0.3.x
Open Source
MCP4/5
PydanticAI
Agent framework from the Pydantic team — built around type safety, dependency injection, and production observability. First-class MCP and A2A support with declarative agent definition via YAML/JSON.
Best for: Python teams who prioritise type safety, structured observability, and want MCP/A2A natively without bolting it on
Python
Hosting: Self-hosted·v0.1.x
Open Source
MCP3/5
CrewAI
Multi-agent framework built around role-playing crews — each agent has a role, goal, and backstory. Best known for making multi-agent systems approachable with minimal boilerplate.
Best for: Rapid multi-agent prototyping and role-based crew designs where time-to-demo matters more than production hardening
Python
Hosting: Self-hosted + Cloud·v0.x
// All Frameworks
Open Source
MCP4/5
AutoGen
Microsoft's multi-agent programming framework, now production-ready as Microsoft Agent Framework (MAF) 1.0. Focused on multi-agent conversation patterns with enterprise-grade backing and cross-runtime interoperability via A2A and MCP.
Best for: Enterprise teams in Azure environments or building cross-language multi-agent conversational systems
Python.NET
Hosting: Self-hosted + Cloud·v0.7.x
Open Source
MCP4/5
Haystack
Open-source AI orchestration framework from deepset for building context-engineered, production-ready LLM applications. Pipeline-first architecture gives explicit control over retrieval, routing, memory, and generation.
Best for: Enterprises that need explicit, auditable pipeline control for RAG and agents — especially where Apache 2.0 licensing matters or MCP server deployment is needed
Python
Hosting: Self-hosted·v2.27.0
Open Source
MCP4/5
LlamaIndex
Originally a RAG library, now a full agent framework with the Workflows abstraction. The leading document agent and OCR platform — best when your agent's primary job is retrieval, document processing, or knowledge base operations.
Best for: Agents whose primary job is retrieval, document processing, knowledge base operations, or multi-modal parsing
PythonTypeScript
Hosting: Self-hosted + Cloud·v0.14.x
// Agentic AI Audit
NOT SURE WHICH
FRAMEWORK FITS YOUR STACK?
FRAMEWORK FITS YOUR STACK?
We map your agent system requirements, evaluate which framework fits your constraints, and give you a prioritised build plan. No fluff. Just a clear stack decision with rationale.