All AI Agents

Your Open-Source AI Companion. Limitless, Transparent, and Entirely Yours.

Agno is a full-stack framework for building Multi-Agent Systems with memory, knowledge and reasoning. Engineers and researchers use Agno to build the 5 levels of Agentic Systems: Level 1: Agents with tools and instructions (example). Level 2: Agents with knowledge and storage (example). Level 3: Agents with memory and reasoning (example). Level 4: Agent Teams that can reason and collaborate (example). Level 5: Agentic Workflows with state and determinism (example).

BaseAI is the first web AI framework for building Serverless AI agents with Node.js and TypeScript. OPEN: BaseAI is free and open-source LOCAL: world-class local developer experience CLEAN: unlike existing frameworks, BaseAI has zero bloatware no boilerplate code COMPOSABLE: build composable AI pipes (agents), tools (self-healing), and memory (RAG) SERVERLESS: prod-ready, easily deploy to Serverless AI cloud with npx baseai deploy command Developers use BaseAI to develop high-quality AI agents with memory (RAG) using TypeScript and then deploy serverless as a highly scalable API using ⌘ Langbase (creators of BaseAI).

AgentKit: rapidly build high quality Agent apps AgentKit is a LangChain-based starter kit developed by BCG X to build Agent apps. Developers can use AgentKit to Quickly experiment on your constrained agent architecture with a beautiful UI Build a full stack chat-based Agent app that can scale to production-grade MVP Key advantages of the AgentKit toolkit include: 🚀 Quickly build high quality Agent apps: Build a strong demo in a few hours using a modular, easy to configure tech stack based on FastAPI/Nextjs and a library of useful GenAI tools 💻 Flexible, reactive UI/UX designed for Agents: React/Nextjs chat-based UI that is easy to configure, with features such as streaming, rendering of tables/visualizations/code, status of Agent actions and more 🛡️ Focus on reliability: Easy to configure routing architecture gives control of possible paths Agent can take, increasing reliability and making it suited for real-life use cases 📈 Set up to scale: Set up to scale to MVP with ready made Queue Management, Auth, Caching, Monitoring etc.

AutoGen is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.

Development frameworks that help to build and deploy AI agents.

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

No-Code Web App Builder, Full-Stack from Front to Back. Build Custom Apps with Ease, Power, and Complete Control.

AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.

Enterprise-Grade SDKs for Integrating Generative AI Capabilities. LM-Kit is an advanced framework designed for orchestrating local AI agents through cutting-edge language models and generative AI technologies. With retrieval-augmented generation (RAG) and agent orchestration as first-class features, LM-Kit empowers C# and VB.NET developers to seamlessly integrate powerful generative AI functionalities directly within their applications, eliminating cloud dependency. Developers can rapidly create AI-driven workflows, automate complex tasks, and leverage robust natural language processing capabilities, including structured data extraction, text enhancement, sentiment analysis, emotion detection, and custom text classification. Utilizing innovative techniques such as Dynamic Sampling and multimodal transformer architectures, LM-Kit ensures efficient, fast, and precise inference even with compact AI models. Designed for ease of use, scalability, and on-device security, LM-Kit accelerates the adoption of generative AI, making sophisticated AI solutions accessible and straightforward to implement in any .NET project.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure. Part of the The Apache Software Foundation.

Flo is a composable framework that simplifies the creation of AI agent architectures. It provides a flexible, modular approach to building agent-based applications while maintaining the power and sophistication needed for complex AI systems.

The fastest way to bring multi-agent workflows to production. Supporting workflows defined using #AutoGen (other frameworks to follow soon).

CRAB aims to become a general-purpose agent benchmark framework for Multimodal Language Model (MLM) agents. CRAB provides an end-to-end while easy-to-use framework to build agents, operate environments, and create benchmarks to evaluate them, featuring three key components: cross-environment support, a graph evaluator, and task generation. We present CRAB Benchmark-v0, developed using the CRAB framework, which includes 120 tasks across 2 environments (Ubuntu and Android), tested with 6 different MLMs under 3 distinct communication settings.

Handy AI Components for Developers. Seamlessly build custom RAG flows and AI agents using open-source, copy-paste components.

PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code solution to streamline the building and management of multi-agent LLM systems, emphasising simplicity, customisation, and effective human-agent collaboration.

The Multi-Agent Framework. The World's First AI Dev Team: https://mgx.dev

Welcome to AutoGPT, where AI amplifies human potential. Our platform empowers you to create intelligent assistants that streamline your digital workflow, enabling you to dedicate more time to innovative and impactful pursuits.

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

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

Development frameworks that help to build and deploy AI agents.

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.

AI Agents Powered by You. Build and manage AI agents effortlessly—no code, fully modular, and open to all. Agience helps you build AI agents to automate tasks, streamline workflows, and integrate with any LLM, cloud, or AI service. Our open-source platform ensures secure, scalable, and private automation with modular AI tools.

LangChain is the platform for building reliable agents. Our products power top engineering teams — from fast-growing startups like Lovable, Mercor, and Clay to global brands including AT&T, Home Depot, and Klarna. LangGraph is a low-level orchestration framework for building controllable agents and long-running workflows. It’s used in production by teams at Replit, Uber, LinkedIn, GitLab, and more. LangSmith offers unified evaluation and monitoring to help developers debug, evaluate, and improve their agents at scale. LangChain provides hundreds of integrations and composable components, making it easy to connect with the latest models, tools, and databases — with minimal engineering overhead. Together, these tools help teams build, deploy, and manage enterprise-grade agents, faster.

QuantaLogic: Unleash AI for Coding, Automation, and Conversations QuantaLogic is your all-in-one AI framework for building smart agents that code, automate workflows, and chat like pros. Powered by large language models (LLMs) and a versatile toolset, it offers three killer modes: ReAct for tackling tough tasks, Flow for streamlined processes, and Chat for natural, tool-savvy conversations. Whether you’re a coder, a business innovator, or an AI enthusiast, QuantaLogic delivers fast, flexible, and fun solutions. Let’s blast off!

Developing BAML, the AI framework that puts the engineering back into prompt engineering. The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

All-In-One AI Platform 🤖 AI Bots 💬 Chat with Marky ✍️ 300+ AI Tools 📸 AI Images 🎥 AI Videos 📸 Photo Studio 🎵 Speech-To-Text 🎙️ Text-To-Speech

Create Your Personal Website in minutes. Imagine ChatGPT, but for your personal website. No more searching for the perfect template, messing with copywriting, or worrying about the code and hosting. With ShipStation, you can have your personal website live in minutes.

AI-powered solutions that help create, edit, and optimize various types of content.