Frameworks for building AI agents and multi-agent systems
AI bot building platform by ByteDance. Drag-and-drop agent creation with built-in plugins, knowledge base, and multi-platform deployment.
Open-source LLM application development platform. Visual workflow builder for creating AI agents, chatbots, and RAG applications.
Microsoft's open-source multi-agent conversation framework. Enables building LLM applications with multiple agents that converse and collaborate.
Lightweight multi-agent orchestration framework. Lets you define agent roles, assign tasks, and run collaborative AI teams with minimal code.
The most popular open-source framework for building LLM-powered applications. Supports agents, RAG, tool use, and multi-step workflows.
Autonomous AI agent framework backed by a16z. Designed for creating personality-driven agents with memory and tool use.
Multi-modal agent framework (formerly Phidata). Build agents that can see, hear, and interact with any data source.
Agent framework by the Pydantic team. Type-safe, structured output guaranteed — built for production-grade AI agents.
Microsoft's lightweight AI orchestration SDK for .NET and Python. Integrates LLMs with traditional programming for agentic workflows.
Framework for building stateful, multi-agent applications from the LangChain team. Supports cyclic graphs and persistent agent state.