multi-agent systems AI agents marketplace: Browse our curated directory of smart digital assistants for enterprise automation and workflow optimization.

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

Seraphnet AI is a decentralized base layer designed for developing ideologically-transparent generative AI applications. It offers a multi-layered infrastructure that prioritizes unbiased outputs and data privacy through fully homomorphic encryption (FHE). The platform features components like the Swarm Manager, an intent-sensitive orchestrator for dynamic agent management; Multi-Agent Pods, modular agents utilizing advanced algorithms for collaborative task resolution; and the Forge SDK, enabling model deployment and training in a containerized environment. Seraphnet integrates both on-chain and off-chain data, ensuring accurate and transparent AI operations.

Seraphnet AI

seraphnet-ai

A decentralized platform for ideologically-transparent generative AI applications with a focus on privacy and unbiased outputs.

AgentVerse is an open-source framework designed to facilitate the deployment of multiple Large Language Model (LLM)-based agents across various applications. It provides two primary frameworks: task-solving, which assembles multiple agents into an automatic multi-agent system to collaboratively accomplish tasks, and simulation, which allows users to set up custom environments to observe behaviors among multiple agents. AgentVerse aims to enhance multi-agent collaboration and explore emergent behaviors in agents.

AgentVerse

agentverse

An open-source framework for deploying multiple LLM-based agents in task-solving and simulation applications.

Vessium is a platform that enables businesses to automate their operations by converting natural language descriptions into multi-agent workflows. Users can describe their business processes, and Vessium generates corresponding workflows that can be fine-tuned through conversation. The platform features a visual flow builder, human-in-the-loop approval gates, and seamless integration with various tools, allowing for customizable and efficient automation.

Vessium

vessium

Transforms business operations into agentic workflows using natural language prompts.

Langroid is an open-source Python framework designed to streamline the development of applications powered by Large Language Models (LLMs). It introduces a multi-agent programming paradigm, treating agents as first-class citizens to manage multiple LLM conversations, each responsible for different aspects of a task. This approach facilitates efficient collaboration through message exchange, enabling developers to build complex, intelligent applications with ease. Langroid supports integration with various LLMs, vector databases, and function-calling tools, offering a modular and extensible architecture for AI application development.

Langroid

langroid

An open-source Python framework that simplifies LLM application development using a multi-agent programming paradigm.

ChatArena is an open-source Python framework designed to facilitate the development of multi-agent language game environments for large language models (LLMs). It provides a flexible structure for defining multiple players, environments, and their interactions, enabling researchers and developers to explore and enhance AI communication and collaboration skills. With user-friendly interfaces, including both web UI and command-line options, ChatArena supports the creation of diverse language game scenarios, such as conversational simulations, educational settings, and social deduction games.

ChatArena

chatarena

An open-source framework for creating multi-agent language game environments to enhance AI communication and collaboration capabilities.

LangGraph is an open-source library designed to facilitate the development of stateful, multi-actor applications utilizing large language models (LLMs). It enables the creation of complex agent and multi-agent workflows, supporting features such as cycles, controllability, and persistence. LangGraph allows developers to define flows involving cycles, essential for most agentic architectures, and provides fine-grained control over both the flow and state of applications. Additionally, it includes built-in persistence, enabling advanced human-in-the-loop and memory features, making it suitable for creating reliable, fault-tolerant agent-based systems.

LangGraph

langgraph

An open-source AI framework for building stateful, multi-actor applications with large language models (LLMs).

Multi-GPT is an experimental open-source project that aims to create a fully autonomous system by enabling multiple specialized GPT-4 agents, referred to as 'expertGPTs,' to collaborate on complex tasks. Each agent possesses its own short-term and long-term memory and can communicate with others to share information and coordinate actions. This multi-agent approach leverages the strengths of individual agents to achieve a collective intelligence capable of performing intricate operations without human intervention.

Multi-GPT

multi-gpt

An experimental open-source system where multiple specialized GPT-4 agents collaborate to autonomously accomplish complex tasks.

The Multi-Agent Orchestrator is an open-source framework developed by AWS Labs, designed to manage multiple AI agents and handle complex conversations efficiently. It intelligently routes user queries to the most suitable agent based on context and content, maintaining coherent dialogues across multiple domains. With dual language support in Python and TypeScript, it offers pre-built components for quick deployment and allows easy integration of custom agents and conversation message storage solutions. Key features include intelligent intent classification, flexible agent responses supporting both streaming and non-streaming interactions, and seamless coordination of multiple AI agents within a single system.

Multi-Agent Orchestrator

multi-agent-orchestrator

A flexible and powerful open-source framework for managing multiple AI agents and handling complex conversations.

KaibanJS is an open-source JavaScript-native framework designed to simplify the development and management of multi-agent AI systems. Drawing inspiration from the Kanban methodology, it provides a visual and intuitive interface for orchestrating AI workflows. With the Kaiban Board, developers can create, visualize, and manage AI agents, tasks, tools, and teams in real-time, enhancing collaboration and efficiency. KaibanJS integrates seamlessly with popular JavaScript frameworks like React, Next.js, and Node.js, enabling developers to incorporate AI capabilities into their applications effortlessly.

KaibanJS

kaibanjs

An open-source JavaScript framework for building and managing multi-agent AI systems using a Kanban-inspired approach.

AutoGen is an open-source programming framework developed by Microsoft for constructing AI agent systems. It streamlines the development of event-driven, distributed, scalable, and resilient agentic applications, enabling the creation of systems where AI agents collaborate to perform tasks autonomously or with human oversight. AutoGen supports asynchronous message passing between agents, integration of large language models (LLMs), and advanced multi-agent design patterns, facilitating the orchestration, automation, and optimization of complex LLM workflows.

AutoGen

autogen

An open-source framework for building AI agent systems, simplifying the creation of event-driven, distributed, scalable, and resilient agentic applications.

PraisonAI is an open-source framework that integrates AutoGen and CrewAI, or similar frameworks, into a low-code solution for developing and orchestrating multi-agent large language model (LLM) systems. It focuses on ease of use, customization, and effective human-agent interaction, enabling users to create AI-powered multi-agent systems for various applications, including customer service, personalization, chatbots, automation, and analysis. PraisonAI supports features such as real-time voice interaction, internet search capabilities, and vision language model support, making it a versatile tool for AI development.

PraisonAI

praisonai

An open-source, low-code framework for building and managing multi-agent LLM systems, emphasizing simplicity, customization, and efficient human-agent collaboration.

Fetch.ai is an open-source platform that facilitates the development and deployment of autonomous AI agents capable of performing a wide range of tasks across different industries. By integrating artificial intelligence with blockchain technology, Fetch.ai provides a decentralized environment where agents can interact, negotiate, and execute complex workflows on behalf of users. The platform's modular tech stack includes tools like uAgents for building multi-agent systems, Agentverse for deploying and discovering AI agents, and an AI Engine for orchestrating agent interactions. Fetch.ai's ecosystem is powered by the FET token, which serves as the medium for transactions and incentivizes network participation.

Fetch.ai

fetch-ai

An open platform that enables the creation, deployment, and monetization of autonomous AI agents for various applications.

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