The canonical index of AI agents, MCP servers & agentic tools
Discover, compare, and choose the right tools for your AI stack. Built by developers, for developers.
Browse by Type
Explore the AI agent ecosystem by category
Featured Tools
Highlighted by the AgentIndex team
LangChain
The most popular framework for building LLM-powered applications
CrewAI
Framework for orchestrating role-playing autonomous AI agents
Aider
AI pair programmer in your terminal
GitHub MCP Server
MCP server for GitHub repository operations
Curated Lists
Hand-picked categories optimized for developer discovery
Best AI Coding Agents
AI coding agents that write, edit, and debug code. From autonomous software engineers to terminal-based pair programmers, find the right coding agent for your workflow.
Best Multi-Agent Frameworks
Frameworks for building systems where multiple AI agents collaborate. Compare orchestration approaches, role-based designs, and conversation patterns.
Best Autonomous AI Agents
Self-directed AI agents that break down goals, plan tasks, and execute autonomously. Compare the leading autonomous agent frameworks and platforms.
Best LLM Application Frameworks
Frameworks for building LLM-powered applications. Compare RAG capabilities, agent support, data connectors, and production readiness.
Best Vector Databases for AI
Vector databases for storing and querying embeddings. Compare managed vs self-hosted, performance, pricing, and ecosystem integrations.
Best MCP Servers
MCP (Model Context Protocol) servers that extend AI agents with real-world capabilities. Browse by platform, use case, and integration type.
Best AI Inference Platforms
Platforms for running AI model inference at scale. Compare speed, pricing, model support, and features for production deployments.
Head-to-Head Comparisons
Detailed side-by-side analysis of popular tools
LangChain vs LlamaIndex
LangChain is better for complex agent systems and diverse LLM workflows. LlamaIndex wins for RAG-focused applications and data-heavy use cases. Many teams use both together.
CrewAI vs AutoGen
CrewAI is simpler and better for production role-based workflows. AutoGen is more powerful for complex multi-agent conversations and research. Choose CrewAI for speed to production, AutoGen for flexibility.
Pinecone vs Weaviate
Pinecone is best for teams wanting fully managed simplicity with no ops overhead. Weaviate wins for teams needing open-source flexibility, hybrid search, and self-hosting control.
LangChain vs CrewAI
LangChain is a comprehensive LLM framework with agent capabilities. CrewAI is purpose-built for multi-agent orchestration. Use LangChain for general LLM apps, CrewAI for dedicated multi-agent workflows (it uses LangChain under the hood).
AutoGPT vs MetaGPT
AutoGPT is better for general-purpose autonomous tasks with its plugin ecosystem. MetaGPT excels at structured software development with its company-simulation approach. Choose based on your use case.
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