Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

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

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

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

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

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

Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/

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

Bub it. Build it. A hook-first runtime for agents that live alongside people.

Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

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

🤖 AI agents on autopilot. Any model. Runs local, cron, CI/CD, or Docker.

File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.

A simple, observable code-writing agent builder in TypeScript.

The UnisonAI Multi-Agent Framework built on custom workflow which allows ai agents to talk together and provides a flexible and extensible environment for creating and coordinating multiple autonomous AI agents. UnisonAI is designed with flexibility and scalability in mind.

Typed Kotlin DSL framework for AI agent systems.

JarvisCore is a distributed agent framework that lets you build complex multi-agent systems with minimal code. Define what your agents do, not how they do it.

Think of this as Zoom call with your AI agents/coworkers

Multi-agents LLM-agnostic framework based on layered parallel communication of agents