Agent frameworks

An open agent framework that gives an AI agent a full Dockerized Linux desktop, a browser with DOM annotation, and live document editing, so it can use real GUI software and files rather than only chat.

• Agent frameworks

An open-source TypeScript framework and product stack for autonomous AI agents, including a runtime, a user-facing app for web, desktop and mobile, a CLI, cloud services and native bridges.

• Agent frameworks

An AI research assistant that performs iterative, deep research on a topic by combining web search, scraping and large language models, refining its research direction between iterations and compiling a sourced markdown report.

• Agent frameworks
• Browser automation

A multi-agent framework built on the CAMEL-AI framework for automating real-world tasks, coordinating several AI agents that use tools such as browsers and MCP servers to complete work.

• Agent frameworks

An agent framework that lets a language model of choice autonomously use tools to fix issues in real GitHub repositories, solve offensive cybersecurity challenges, or complete other custom coding tasks.

• Coding agents
• Agent frameworks

A typed Python SDK for building AI agents that can run behind a web frontend, in a terminal, on a voice call or as a background job, with the same agent portable across models and interfaces.

• Agent frameworks

An all-in-one visual platform for developing AI agents, apps and workflows, with no-code or low-code tools for prompts, RAG, plugins and workflow orchestration.

• Agent frameworks
• Workflow automation

A code-first Python framework for building, evaluating and deploying AI agents, optimized for Gemini but model- and deployment-agnostic, with sibling implementations in Java, Kotlin, Go and TypeScript.

• Agent frameworks

An open-source reference stack for running AI agents such as OpenClaw, Hermes and LangChain Deep Agents more safely inside NVIDIA OpenShell sandboxes, with managed inference and lifecycle operations.

• Agent frameworks
• Containers

An open-source platform for building enterprise-grade AI agents, combining a RAG pipeline, an agentic workflow engine and MCP tool use, aimed at uses such as customer service and internal knowledge bases.

• Agent frameworks
• RAG

An agent harness and service framework for Go that lets a developer describe a capability in conversation, generate a Go service for it, and use that service as a tool from the same agent.

• Agent frameworks
• Backend

A platform for building stateful AI agents with long-term memory that can learn and improve over time, usable from a terminal, desktop and web apps, or a TypeScript SDK.

• Agent frameworks
• Agent memory

An open protocol, backed by the Linux Foundation, that lets AI agents built on different frameworks discover each other, negotiate how to interact, and collaborate securely on long-running tasks without exposing their internal state.

• Agent frameworks

An open-source Python framework for orchestrating LLM applications, with modular pipelines and agent workflows that give explicit control over retrieval, routing, memory and generation.

• Agent frameworks
• RAG

An open-source toolkit that gives AI agents computers to operate: desktop automation drivers, isolated cloud desktops, local macOS VMs, specialized decision models and benchmarks for computer-use agents.

• Agent frameworks
• Containers

AI SDK is a provider-agnostic TypeScript toolkit for building AI-powered applications and agents across frameworks such as Next.js, React, Svelte and Vue, with a unified API for calling many model providers.

• Agent frameworks

A voice-enabled autonomous AI assistant that runs entirely on local hardware, browsing the web, writing and running code, and planning multi-step tasks without a cloud dependency.

• Agent frameworks
• Speech

A TypeScript framework for building AI-powered applications and agents, with model routing across many providers, a graph-based workflow engine, memory and built-in evaluation.

• Agent frameworks

A model-agnostic SDK for building, orchestrating and deploying AI agents and multi-agent systems, with support for Python, .NET and Java.

• Agent frameworks

An open-source Windows and macOS desktop client for DeepSeek Harness that wraps its local web UI, host service and plugin system in a native app, with a built-in plugin marketplace.

• Agent frameworks

A JavaScript library that adds an in-page AI agent to any website, so a user can control web interfaces such as forms and multi-step workflows with natural language.

• Agent frameworks
• Libraries

An autonomous research agent that searches the web and local documents to produce detailed, cited reports on a given topic, using planner and execution agents with any LLM provider.

• Agent frameworks
• RAG

A Python framework for building multi-agent workflows that works with OpenAI's Responses and Chat Completions APIs as well as more than 100 other LLM providers.

• Agent frameworks

A collaborative workspace for building, deploying and monitoring AI agents and workflows, connecting more than 1,000 integrations and every major LLM through a visual, conversational or code-based builder.

• Agent frameworks