• Home
  • Categories
  • Tags
  • Pricing
  • Submit
    Decorative pattern
    1. Home
    2. Llm Frameworks
    3. AutoGen

    AutoGen

    Open-source framework from Microsoft Research for building AI agents and facilitating multi-agent cooperation with support for two-agent chat, sequential chat, and group chat patterns.

    🌐Visit Website

    About this tool

    Overview

    AutoGen is an open-source programming framework from Microsoft Research for building AI agents and facilitating cooperation among multiple agents to solve tasks. It offers a unified multi-agent conversation framework as a high-level abstraction for using foundation models.

    Features

    • Customizable Agents: Agents integrate LLMs, tools, and humans via automated agent chat
    • Multiple Conversation Patterns: Supports two-agent chat, sequential chat (chained conversations), and group chat (3+ agents)
    • Automated Collaboration: Agents can collectively perform tasks autonomously or with human feedback
    • Tool Integration: Agents can use tools via code execution
    • Asynchronous Architecture: Version 0.4 features event-driven, asynchronous messaging for better scalability
    • AutoGen Studio: No-code GUI for building multi-agent applications

    Conversation Patterns

    • Two-agent chat: Simple conversation between two agents
    • Sequential chat: Sequence of chats between two agents, chained by a carryover mechanism
    • Group chat: Single chat involving more than two agents with dynamic speaker selection

    Use Cases

    The framework has demonstrated effectiveness across various domains:

    • Mathematics problem solving
    • Code generation and debugging
    • Question-answering systems
    • Supply-chain optimization
    • Online decision-making
    • Content generation

    Architecture

    AutoGen v0.4 features an asynchronous, event-driven architecture with:

    • Asynchronous messaging between agents
    • Support for both event-driven and request/response patterns
    • Improved scalability and performance

    Pricing

    Free and open-source under the Apache 2.0 license.

    Surveys

    Loading more......

    Information

    Websitegithub.com
    PublishedMar 18, 2026

    Categories

    1 Item
    Llm Frameworks

    Tags

    3 Items
    #Microsoft#multi-agent#conversational-ai

    Similar Products

    6 result(s)
    Semantic Kernel

    Open-source SDK from Microsoft that enables developers to build AI agents and integrate LLMs into applications with support for multi-agent orchestration, function calling, and memory management across C#, Python, and Java.

    CrewAI
    Featured

    Leading open-source framework for orchestrating autonomous AI agent crews with production-ready workflows combining collaborative intelligence through Crews and precise control through Flows.

    Filtered-DiskANN

    Microsoft research extension to DiskANN algorithm that enables efficient label-based filtering during vector search, allowing precise results with metadata constraints without sacrificing performance.

    Azure AI Search

    Microsoft's cloud-based search service with integrated vector search, hybrid search, and semantic ranking capabilities. Provides both traditional full-text search and modern vector-based semantic search with built-in AI enrichment.

    multilingual-e5-large

    Microsoft's state-of-the-art multilingual text embedding model supporting 100 languages with 1024-dimensional embeddings, trained on 1 billion multilingual text pairs for robust cross-lingual retrieval.

    SPANN

    Highly-efficient billion-scale approximate nearest neighbor search system from Microsoft Research. Uses a memory-disk hybrid architecture storing centroid points in memory and large posting lists on disk.

    Decorative pattern
    Built with
    Ever Works
    Ever Works

    Connect with us

    Stay Updated

    Get the latest updates and exclusive content delivered to your inbox.

    Product

    • Categories
    • Tags
    • Pricing
    • Help

    Clients

    • Sign In
    • Register
    • Forgot password?

    Company

    • About Us
    • Admin
    • Sitemap

    Resources

    • Blog
    • Submit
    • API Documentation
    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
    Copyright © 2025 Awesome Vector Databases. All rights reserved.·Terms of Service·Privacy Policy·Cookies