CrewAI
Multi-agent automation framework & studio to build and run AI crews
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Build autonomous multi-agent AI applications with a flexible framework
AutoGen is a modular Python framework for creating autonomous or collaborative multi-agent AI systems, offering layered APIs, extensions, and no-code tools like AutoGen Studio.
AutoGen provides a layered, extensible framework for building multi‑agent AI applications. Developers can choose the level of abstraction they need—from the low‑level Core API for fine‑grained control to the higher‑level AgentChat API for rapid prototyping—while extensions add LLM clients, code execution, and other capabilities.
The framework targets AI engineers, researchers, and product teams that need coordinated agents to browse the web, run code, or handle domain‑specific tasks. With cross‑language support for Python and .NET, it fits both prototype and production environments. Deployment is self‑hosted via standard Python packages, and a no‑code GUI (AutoGen Studio) lets non‑programmers design workflows before exporting code.
AutoGen ships with built‑in OpenAI integration, Playwright MCP for web browsing, and a plugin system for custom tools. Community resources—including Discord, weekly office hours, and a benchmarking suite (AutoGen Bench)—help users iterate quickly and share best practices.
When teams consider AutoGen, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Web‑enabled research assistant
Automatically browse the web, extract data, and summarize findings using the Playwright MCP integration.
Mathematics and chemistry tutoring bot
Leverages specialized math and chemistry agents to solve problems and explain concepts within a single conversational interface.
Enterprise workflow automation
Orchestrates multiple agents to handle ticket triage, code generation, and documentation updates, reducing manual effort.
Rapid prototype of custom AI team
Designs and tests a team of agents via AutoGen Studio’s no‑code UI, then exports the code for production deployment.
Yes, the provided examples use OpenAI’s API; you must set the OPENAI_API_KEY environment variable. Other LLM providers can be integrated via extensions.
AutoGen is pure Python and .NET compatible, so it works on all major operating systems that support Python 3.10+.
Core API offers low‑level message passing and runtime control, while AgentChat provides a higher‑level, opinionated interface for rapid prototyping built on top of Core.
Create a Python package that implements the Extensions API contract and install it alongside autogen‑ext; the framework will discover and load it automatically.
Yes, the AutoGen Bench suite provides benchmarking utilities to evaluate performance and cost of agent workflows.
Project at a glance
ActiveLast synced 4 days ago
