Compare and vote on the best AI agent frameworks — from code-first SDKs to no-code platforms. Community-ranked.
Anthropic's official SDK for building multi-agent AI systems. Native tool use, subagent orchestration, streaming, and computer use.
The most popular AI framework. Chains, agents, tools, memory — massive ecosystem of integrations and community.
Build stateful, multi-agent workflows as graphs. From LangChain team — controllable, persistent, with human-in-loop.
Multi-agent role-playing framework. Define AI crews with roles, goals, and tools — coordinate them to complete complex tasks.
Microsoft's multi-agent conversation framework. Agents converse to solve tasks, with human participation optional.
Open-source workflow automation with AI nodes. Visual editor, self-hostable, 400+ integrations including LLM nodes.
Open-source LLM app development platform. RAG, agents, workflows — deploy to API in one click.
Data framework for LLM apps. Best for RAG, document indexing, and connecting LLMs to private data sources.
Python framework for building AI apps with memory, knowledge, and tools. Clean API, production-ready agents.
Drag-and-drop LLM flow builder. Self-hostable alternative to LangFlow. Build chatbots, agents, RAG pipelines visually.
Microsoft's enterprise AI SDK for .NET, Python, and Java. Plugin system, memory, planners, and multi-agent.
IBM's open-source agent framework. Production agents with memory, tools, observability — TypeScript-first.
TypeScript framework for building AI applications. Workflows, agents, RAG, evaluations — batteries included.
OpenAI's official multi-agent SDK. Agents, handoffs, guardrails, tracing — built for GPT and o-series models.
Multi-agent simulation and collaboration platform. Deploy agent teams that communicate, coordinate, and solve problems.
Python framework for model-agnostic AI agents with multimodal support and built-in memory management.
Microsoft Research's code-first data analytics agent. Converts natural language requests into executable Python code.
Communicative agents framework. Role-playing agents communicate to complete tasks — one of the first multi-agent papers.
Stateful memory-focused agents. Agents that remember across conversations using a memory management system.
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