Compare the Top Free AI Agent Frameworks as of May 2026 - Page 2

  • 1
    Microsoft Agent Framework
    Microsoft Agent Framework is an open source SDK and runtime designed to help developers build, orchestrate, and deploy AI agents and multi-agent workflows using languages such as .NET and Python. It combines the simple agent abstractions of AutoGen with the enterprise-grade capabilities of Semantic Kernel, including session-based state management, type safety, middleware, telemetry, and broad model and embedding support, creating a unified platform for both experimentation and production use. It introduces graph-based workflows that give developers explicit control over how multiple agents interact, execute tasks, and coordinate complex processes, enabling structured orchestration across sequential, concurrent, or branching scenarios. It supports long-running and human-in-the-loop workflows through robust state management, allowing agents to maintain context, reason through multi-step problems, and operate continuously over time.
    Starting Price: Free
  • 2
    AG-UI

    AG-UI

    AG-UI

    AG-UI is an open, lightweight, event-based protocol that standardizes how AI agents connect to user-facing applications. Built for simplicity and flexibility, it enables seamless integration between AI agents, real-time user context, and user interfaces. AG-UI is designed for agent-human interaction: during agent executions, backends emit events compatible with standard AG-UI event types, and agent backends can accept simple AG-UI-compatible inputs as arguments. It works with any event transport, including SSE, WebSockets, webhooks, and other streaming systems, while providing a flexible middleware layer that ensures compatibility across diverse environments. AG-UI brings agents into user-facing applications and complements the wider agentic protocol stack: MCP gives agents tools, A2A allows agents to communicate with other agents, and AG-UI connects agents directly to the user interface.
    Starting Price: Free
  • 3
    assistant-ui

    assistant-ui

    assistant-ui

    assistant-ui is an open source React toolkit for production AI chat experiences, designed to bring the UX of ChatGPT into your own app. It helps developers create beautiful, enterprise-grade AI chat interfaces in minutes for React, React Native, and terminal applications. Whether you are building a ChatGPT clone, a customer support chatbot, an AI assistant, or a complex multi-agent application, assistant-ui provides frontend primitive components and state management layers so you can focus on what makes your application unique. It includes instant chat UI with pre-built, beautiful, customizable chat interfaces out of the box, making it easy to quickly iterate on an idea. Its chat state management is optimized for streaming responses, interruptions, retries, multi-turn conversations, and efficient rendering. assistant-ui is built for high performance, with optimized rendering and a minimal bundle size to keep AI chat interfaces responsive.
    Starting Price: $50 per month
  • 4
    CopilotKit

    CopilotKit

    CopilotKit

    CopilotKit is an enterprise-grade agentic frontend stack designed to help developers build AI-powered applications with generative user interfaces. The platform enables seamless integration between user-facing applications and agentic backends through its AG-UI protocol, which supports bi-directional communication. It provides tools and SDKs for modern frameworks like React, Angular, and Next.js, allowing developers to quickly implement AI features. CopilotKit supports generative UI, enabling AI agents to dynamically render and update interface components in real time. The platform also includes features like chat components, conversation threading, and persistent state management for maintaining context across sessions. Developers can connect their preferred AI models, frameworks, and agents without being locked into a specific ecosystem.
    Starting Price: $39/developer/month
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