Search

More Filters

Show More
Add Listing
Go Back

autogen

0
New
Multi-Agent Platforms & Frameworks
Report

Report Abuse

Basic Information

AutoGen is a framework for building multi-agent AI applications that can act autonomously or collaborate with humans. It provides a layered and extensible architecture to create, run, and coordinate agent workflows at different levels of abstraction. The repository includes core runtime components for message passing, event-driven agents, and both local and distributed execution, plus an opinionated AgentChat API for rapid prototyping. Extensions enable integration with language model clients and capabilities such as web browsing and code execution. The project supports Python and .NET, ships developer tools like a no-code AutoGen Studio and a benchmarking tool AutoGen Bench, and offers examples and tutorials that demonstrate usage with models such as OpenAI's APIs and browser MCP servers.

Links

Stars
48705
App URL
https://github.com/microsoft/autogen
Github Repository
https://github.com/microsoft/autogen/blob/main/README.md

Categorization

App Details

Features
A layered, extensible design that separates responsibilities across core runtime, AgentChat, and Extensions. Core features include message passing, event-driven agents, and support for local and distributed runtimes with cross-language compatibility for Python and .NET. The AgentChat API provides a simpler API for common multi-agent patterns and rapid prototyping. The Extensions API supplies implementations of LLM clients and tools, including OpenAI and AzureOpenAI clients, code execution, and MCP-based web browsing integration. Developer tooling includes AutoGen Studio for no-code GUI app building and AutoGen Bench for benchmarking agents. The repo includes installation instructions, example code snippets like a Hello World assistant and an MCP server example, and packaged releases on PyPI and NuGet.
Use Cases
AutoGen helps developers and teams prototype, build, and evaluate complex multi-agent systems by providing reusable runtime components, higher-level APIs, and tooling. It reduces boilerplate for message passing and agent coordination so teams can focus on domain logic. The AgentChat API accelerates common multi-agent interactions while Extensions let you plug in model clients and capabilities such as web browsing via MCP and code execution. AutoGen Studio enables non-coders to compose and run workflows through a GUI and AutoGen Bench helps measure agent performance. The repository also includes examples, migration guidance, documentation, community resources, and packaged releases to simplify adoption across Python and .NET environments.

Categories

Content Creation (5042)
Monetization & Business (2246)
Development Tools (1407)
Marketing & Social Media (1403)
Education & Career (1380)
Multi-Agent Platforms & Frameworks (1009)
Health & Life (957)
AI Resources (920)
Agents & Automation (778)
Data & Analytics (764)
Productivity Tools (679)
Writing & Editing (666)

Similar Listings

listing image

virtual lab

0 (0 review)
listing image

mnemo

0 (0 review)
listing image

EdgeChains

0 (0 review)
listing image

RAG Agents Accelerator

0 (0 review)
listing image

LLM Zero to Hundred

0 (0 review)

Featured Listings

Tags

Please fill the required fields*