// 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.
17
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·v1.1.7a1
Open Source
MCP4/5
Google ADK
Google's open-source, code-first framework for building, evaluating, and deploying AI agents. Optimised for Gemini but model-agnostic, with Python, Java, and Go SDKs. Designed for Cloud Run and Vertex AI Agent Engine deployment.
Best for: Teams building on Gemini or deploying to GCP who want a batteries-included framework with built-in observability and Cloud Run / Vertex AI integration
PythonJavaGo
Hosting: Self-hosted + Cloud·v2.0.0a3
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·v1.3.0a2
Open Source
MCP4/5
Mastra
TypeScript-native agent framework with built-in workflows, memory, RAG, and MCP support. Designed for full-stack TypeScript teams shipping agents as part of web applications.
Best for: Full-stack TypeScript teams embedding agents inside Next.js or Node.js applications
TypeScript
Hosting: Self-hosted + Cloud·v0.13.0
// 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·v0.7.5
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·v0.14.20
Open Source
MCP4/5
OpenAI Agents SDK
OpenAI's official Python SDK for building production agents. Provides a thin, ergonomic layer over the Responses API with native support for handoffs, tracing, guardrails, and MCP tool integration.
Best for: Python teams building directly on OpenAI models who want minimal abstraction and first-class observability
PythonTypeScript
Hosting: Self-hosted·v0.13.6
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·v1.80.0
Open Source
MCP4/5
Semantic Kernel
Microsoft's open-source SDK for building AI agents and copilots. Supports Python, C#, and Java with enterprise-grade features including process framework, memory, and plug-in architecture.
Best for: Enterprise teams building copilots and agents on Azure or within Microsoft-stack environments
Python.NETJava
Hosting: Self-hosted + Cloud·v1.41.2
Open Source
MCP3/5
Agno
Lightweight Python framework for building multi-modal, multi-agent systems with built-in memory, knowledge, and reasoning. Formerly PhiData, rebranded to Agno in 2025 with a focus on performance and model-agnostic design.
Best for: Python teams wanting a lightweight, model-agnostic framework with built-in memory and multi-modal support without LangChain's abstraction weight
Python
Hosting: Self-hosted + Cloud·v2.5.16
Open Source
MCP3/5
AutoGen Studio
Visual no-code interface for AutoGen, now part of Microsoft Agent Framework. Drag-and-drop agent composition with a web-based UI. Best used to prototype AutoGen/MAF agent teams without writing Python.
Best for: Prototyping AutoGen/MAF agent teams without writing Python — visual composition only
Python
Hosting: Self-hosted·v0.7.5
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·v1.14.2a3
Open Source
3/5
DSPy
Stanford's framework for algorithmically optimising LLM prompts and pipelines. Rather than hand-writing prompts, DSPy compiles declarative programs into optimised prompt chains using automatic few-shot generation and bootstrapping.
Best for: Research teams and ML engineers who want to optimise prompt pipelines systematically rather than hand-tune prompts
Python
Hosting: Self-hosted·v3.1.3
Open Source
MCP3/5
Letta
Agent framework specialising in stateful, memory-augmented agents with persistent context across sessions. Formerly MemGPT, rebranded to Letta with an expanded framework focus beyond memory management.
Best for: Use cases requiring persistent agent memory across sessions — customer-facing agents, long-running assistants, and multi-session workflows
Python
Hosting: Self-hosted + Cloud·v0.16.7
Open Source
MCP3/5
Smolagents
HuggingFace's lightweight Python framework for code-first agents. Takes a minimal-abstraction approach where agents write and execute Python code as their primary action mechanism.
Best for: Data science teams and researchers running open-source models who want code-execution as the primary agent action
Python
Hosting: Self-hosted·v1.24.0
Open Source
MCP3/5
Strands Agents
AWS's open-source, model-driven SDK for building AI agents with minimal boilerplate. Defaults to Amazon Bedrock but supports Anthropic, Gemini, OpenAI, and others. Python and TypeScript SDKs maintained.
Best for: AWS-native teams or Python developers wanting a minimal, model-agnostic agent loop without the abstraction weight of LangChain
PythonTypeScript
Hosting: Self-hosted + Cloud·v1.35.0
// Agentic AI Audit
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