Agent Framework Landscape

Navigate the ecosystem of agent frameworks and choose the right tools for your projects

The Framework Explosion

Building AI agents from scratch is complexβ€”handling tool calling, memory management, multi-step reasoning, and error recovery requires thousands of lines of code. Agent frameworks abstract this complexity, letting you focus on your agent's logic rather than plumbing.

Since 2022, the agent framework ecosystem has exploded from a handful of options to over 20 mature frameworks, each with unique strengths. Understanding this landscape is crucial for choosing the right tool and avoiding framework lock-in.

Interactive: Framework Evolution

2022

LangChain launched

2023

AutoGen released (Microsoft)

2023

CrewAI introduced

2024

Framework explosion (20+ options)

🎯 Why Use a Framework?

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Faster Development

Build agents in hours, not weeks. Pre-built components for tool calling, memory, and orchestration.

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Battle-Tested Patterns

Avoid common pitfalls with proven patterns for error handling, state management, and reliability.

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Rich Ecosystem

Leverage integrations with LLMs, vector databases, APIs, and hundreds of pre-built tools.

πŸ“Š Framework Categories

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General Purpose: LangChain, Semantic Kernel - Swiss army knives for any agent task
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Multi-Agent: AutoGen, CrewAI - Specialized for agent collaboration and team dynamics
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Workflow-First: LangGraph, Haystack - Graph-based orchestration for complex pipelines
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Minimalist: OpenAI Assistants API, Anthropic Claude - Simple, opinionated, batteries-included