multi-agent system-focused AI agents: Explore our marketplace of intelligent automation assistants and digital solutions from top agencies.

"multi-agent system" tagged AI Agents | AI Agent Store

PC Agent is an AI system developed by GAIR-NLP that facilitates the creation of autonomous digital agents by transferring human cognitive processes. It comprises three key components: PC Tracker, a lightweight infrastructure for collecting large-scale human-computer interaction data; a Cognition Completion post-processing pipeline that converts raw interaction data into cognitive trajectories; and a multi-agent system combining a planning agent for decision-making with a grounding agent for robust visual grounding. PC Agent aims to enable AI to perform complex digital tasks autonomously by learning from human interactions.

PC Agent

pc-agent

An AI system enabling autonomous digital agents through human cognition transfer.

L2MAC (Large Language Model Automatic Computer) is an AI framework designed to generate extensive outputs, such as entire codebases or lengthy texts, from a single prompt. It employs a multi-agent system where each agent executes a portion of the task, effectively bypassing the fixed context window constraints of traditional LLMs. This approach allows L2MAC to produce coherent and large-scale outputs, significantly enhancing the capabilities of AI in software development and content creation.

L2MAC

l2mac

An AI framework enabling large-scale code generation by overcoming LLM context limitations.

AIlice, developed by MyShell.ai, is an open-source, fully autonomous AI agent that functions as a 'text computer' with a Large Language Model (LLM) at its core. Inspired by JARVIS, AIlice is capable of executing a wide range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid operations. It dynamically creates an agent tree based on specific tasks, decomposing and executing them with high fault tolerance. AIlice supports both open-source models and commercial models like GPT-4, offering flexibility and extensibility for various applications.

AIlice

ailice

A fully autonomous, general-purpose AI agent designed to perform complex tasks through dynamic multi-agent collaboration.

Quant is at the forefront of AI-driven innovation, providing a suite of advanced digital solutions designed to enhance customer service and deliver superior results to stakeholders. Their enterprise-ready, multi-agent Agentic LLM platform supports multi-channel interactions—including chat, voice, SMS, and avatar-based experiences—enabling seamless and intelligent customer engagements. By utilizing parallel processing, Quant’s AI agents collaborate to engage in meaningful conversations, improving customer satisfaction across industries such as banking, financial services, healthcare, and government. The platform supports over 100 languages, ensuring global reach and effective communication.

Quant

quant

An AI-driven platform offering enterprise-ready, multi-agent solutions to revolutionize customer interactions across various channels.

MADS is an open-source framework designed to automate data science pipelines using a multi-agent system. By requiring only two inputs, it streamlines the process of generating machine learning models, performing analyses, and producing reports. MADS facilitates rapid prototyping and enables non-technical users to generate predictions effortlessly. Its modular architecture allows for the integration of various tools to enhance forecasting, model optimization, and data visualization, thereby accelerating business decision-making and automating compliance reporting.

MADS

mads

An open-source multi-agent framework that automates data science pipelines with minimal input.

MetaGPT is an open-source framework that simulates a collaborative multi-agent system to tackle complex tasks. By assigning different roles to multiple AI agents, such as product manager, architect, and engineer, MetaGPT enables the decomposition of intricate problems into manageable components. This approach facilitates efficient project management and execution, making it suitable for developing complex applications and systems.

MetaGPT

metagpt

An AI agent framework that simulates a collaborative multi-agent system for complex tasks.