#agents

Build Conversational AI in minutes ⚡️

The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems

🚀 The fast, Pythonic way to build MCP servers and clients.

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.

A developer CLI for working with Azure resources to build and deploy AI applications. Commands map to key workflow stages: code, build, deploy, and monitor.

Automation engine to build, test and ship any codebase. Runs locally, in CI, or directly in the cloud

AI Agent Builder and Runtime by Docker Engineering

Dynamiq is an orchestration framework for agentic AI and LLM applications

Open-source, secure environment with real-world tools for enterprise-grade agents.

The agent platform built on sync.

Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google

An open-source, code-first Typescript toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

A suite of packages used to build on the Teams Platform.

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

A lightweight, powerful framework for multi-agent workflows and voice agents

A set of tools that gives agents powerful capabilities.

AI Agent Builder and Runtime by Docker Engineering

An open source extension that connects AI agents to computational notebooks in JupyterLab.

Securely scale AI usage across your organization. A single stack to Connect, Secure, Observe and Distribute agents, MCPs, and Skills within your company.

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

Our library for RL environments + evals

Autonomous Hacking Agent for Red Team

Build, run, and manage agent platforms.

Build AI agents for your PC

The terminal experience for AgentCore!

Search infrastructure for AI

Run sandboxed code environments on Cloudflare's edge network

Custom AI agent platform to speed up your work.