AutoGen

It is a programming framework designed for creating multi-agent AI applications that can operate autonomously or collaborate with humans.

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AutoGen AI Agent Competitors

It is a programming framework designed for creating multi-agent AI applications that can operate autonomously or collaborate with humans. AutoGen enables developers to build AI agents capable of handling complex tasks, such as web browsing, code execution, and file handling, through a layered and extensible design. The framework supports Python 3.10 or later and provides high-level APIs and low-level components for flexibility in development. Developers can create assistant agents using models like OpenAI’s GPT-4, form multi-agent teams for specific tasks, and prototype workflows using AutoGen Studio without writing code. The ecosystem includes developer tools, such as the AgentChat API and Extensions API, to facilitate the creation of advanced multi-agent systems. AutoGen also fosters a thriving community with resources like weekly office hours, a Discord server for real-time support, GitHub Discussions for Q&A, and a blog for tutorials and updates. Contributions are encouraged, with guidelines provided in the CONTRIBUTING.md file. The project is licensed under the MIT License for code and Creative Commons Attribution 4.0 International Public License for documentation. AutoGen is developed and maintained by Microsoft and contributors, with trademarks and rights reserved as per Microsoft’s policies.

AutoGen AI Agent Alternatives

Superagent

It is a workspace designed for AI-agents that learn, perform tasks, and collaborate autonomously.

HyperWrite AI Agent

It is an AI-powered personal assistant designed to automate and streamline online tasks through the HyperWrite Chrome Extension.

Self-operating computer

It is an open-source framework designed to enable multimodal AI models to operate a computer by mimicking human inputs and outputs.

Portkey

It is a comprehensive AI operations platform designed to help teams build, deploy, and manage production-ready AI applications efficiently.

Browserbase

It is a platform designed to provide a reliable, high-performance infrastructure for running, managing, and monitoring headless browsers at scale.

MADS

It is a framework called MADS (Multi-Agents for Data Science) that enables users to perform a systematic data science pipeline with just two inputs.

LangSmith

It is an all-in-one developer platform designed to support every phase of the lifecycle of LLM-powered applications, whether built with LangChain or not.

KaneAI

It is a comprehensive cloud-based testing platform designed to facilitate manual and automated testing across various browsers, devices, and operating systems.

Proofs

It is an AI-powered platform designed to streamline and accelerate the development of custom proof-of-concept (PoC) applications and integrations for businesses.

Oraczen’s Spend Analysis Agent

It is a description of Oraczen, a company that provides AI solutions designed to empower enterprises by addressing inefficiencies in traditional monolithic systems.

Phidata

It is an open-source platform designed to build, ship, and monitor agentic systems, enabling developers to create high-performance AI agents with memory, knowledge, and tools.

Relevance AI

It is a visual platform designed for operations teams to build, manage, and deploy an entire AI workforce, enabling intelligent automation for high-stakes tasks across any industry.

Inferable

It is an open-source developer platform designed to reliably integrate probabilistic large language model (LLM) reasoning into existing systems using a code-first and API-driven approach.

L2MAC

It is the Large Language Model Automatic Computer (L2MAC), a pioneering framework designed to function as a practical, general-purpose stored-program automatic computer based on the von Neumann architecture.

OutSystems

It is a platform designed to integrate generative AI (GenAI) agents into business applications, enabling dynamic digital interactions, enhanced productivity, and improved performance using large language models (LLMs), natural language processing, and proprietary data.

Other AI Agents

ScrapeGraphAI

It is a powerful AI-driven tool designed to transform any website into clean, structured data for AI agents, data analytics, and automated workflows.

Multiagent Debate

It is a preliminary implementation of the paper "Improving Factuality and Reasoning in Language Models through Multiagent Debate," which aims to enhance the accuracy and reasoning capabilities of language models by employing a multiagent debate framework.

Griptape

It is a comprehensive platform designed to enable developers to build, deploy, and scale production-ready AI agents quickly and securely using their own data.

Mistral Large 24.11

It is a 124-billion-parameter open-weights multimodal model called Pixtral Large, built on Mistral Large 2, designed to excel in both image and text understanding.

aiXplain

It is a platform designed to build and deploy AI agents that address trust barriers in adopting agentic AI by embedding data protection, policy enforcement, and validation into every agent, ensuring business success.

KODIF

It is a Customer Support AI platform designed to automate ticket resolutions and enhance customer service efficiency by integrating with hundreds of customer service platforms.

Restructured

It is an AI-powered platform designed to automate data-intensive workflows by transforming unstructured data into structured formats, enabling efficient triage of documents, portfolio analysis, and reporting.

Inferable

It is an open-source developer platform designed to reliably integrate probabilistic large language model (LLM) reasoning into existing systems using a code-first and API-driven approach.

MADS

It is a framework called MADS (Multi-Agents for Data Science) that enables users to perform a systematic data science pipeline with just two inputs.

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