AI Agents Frameworks

Qwen-Agent is a framework for developing LLM applications based on the instruction following, tool usage, planning, and memory capabilities of Qwen. It also comes with example applications such as Browser Assistant, Code Interpreter, and Custom Assistant. Now Qwen-Agent plays as the backend of Qwen Chat.

Semantic Kernel Build intelligent AI agents and multi-agent systems with this enterprise-ready orchestration framework. License: MIT Python package Nuget package Discord What is Semantic Kernel? Semantic Kernel is a model-agnostic SDK that empowers developers to build, orchestrate, and deploy AI agents and multi-agent systems. Whether you're building a simple chatbot or a complex multi-agent workflow, Semantic Kernel provides the tools you need with enterprise-grade reliability and flexibility. System Requirements Python: 3.10+ .NET: .NET 8.0+ Java: JDK 17+ OS Support: Windows, macOS, Linux Key Features Model Flexibility: Connect to any LLM with built-in support for OpenAI, Azure OpenAI, Hugging Face, NVidia and more Agent Framework: Build modular AI agents with access to tools/plugins, memory, and planning capabilities Multi-Agent Systems: Orchestrate complex workflows with collaborating specialist agents Plugin Ecosystem: Extend with native code functions, prompt templates, OpenAPI specs, or Model Context Protocol (MCP) Vector DB Support: Seamless integration with Azure AI Search, Elasticsearch, Chroma, and more Multimodal Support: Process text, vision, and audio inputs Local Deployment: Run with Ollama, LMStudio, or ONNX Process Framework: Model complex business processes with a structured workflow approach Enterprise Ready: Built for observability, security, and stable APIs

Skymel ADK lets you build AI agents in plain English, using a multi-model system that handles workflows, errors, and costs automatically. Agents improve over time and deploy anywhere.

Agents that think in code! smolagents is a library that enables you to run powerful agents in a few lines of code. It offers: ✨ Simplicity: the logic for agents fits in ~1,000 lines of code (see agents.py). We kept abstractions to their minimal shape above raw code! 🧑‍💻 First-class support for Code Agents. Our CodeAgent writes its actions in code (as opposed to "agents being used to write code"). To make it secure, we support executing in sandboxed environments via E2B or via Docker. 🤗 Hub integrations: you can share/pull tools or agents to/from the Hub for instant sharing of the most efficient agents! 🌐 Model-agnostic: smolagents supports any LLM. It can be a local transformers or ollama model, one of many providers on the Hub, or any model from OpenAI, Anthropic and many others via our LiteLLM integration. 👁️ Modality-agnostic: Agents support text, vision, video, even audio inputs! Cf this tutorial for vision. 🛠️ Tool-agnostic: you can use tools from any MCP server, from LangChain, you can even use a Hub Space as a tool.

Prompt, run, edit, and deploy AI agents in seconds Introducing http://String.com, by Pipedream: - Prompt, run, edit, and deploy agents in seconds - 10x easier to use vs. no-code builders

Escape the artificial and build actual intelligence Suada is an Integrated Reasoning Framework specifically designed for developers of AI agents. It enables your agents to understand and reason with your users’ data within minutes of initial setup, saving you weeks in integration and reasoning development time.

UFO² UFO logo : The Desktop AgentOS Turn natural‑language requests into automatic, reliable, multi‑application workflows on Windows, beyond UI-Focused.

Vercel AI SDK is an open-source TypeScript toolkit for building AI apps and agents across frameworks like React and Vue. It unifies access to major LLMs, supports structured output, chat UIs, streaming, and tool usage—all with full TypeScript support.