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

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

Langroid

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

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

ChatArena

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

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

LangGraph

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

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

Multi-GPT

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

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

Multi-Agent Orchestrator

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

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

KaibanJS

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

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

AutoGen

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

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

PraisonAI

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

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

Fetch.ai

Emergence AI focuses on advancing the science and development of AI agents by building systems where multiple agents work cooperatively to solve complex tasks. Their flagship product, the Emergence Orchestrator, is an autonomous meta-agent designed to plan, execute, verify, and iterate workflows by intelligently routing tasks to the most optimal AI models or agents. This orchestration enables enterprises to streamline operations, adapt to changing environments, and maintain compliance across diverse standards. Emergence AI's solutions are built for enterprise scalability, ensuring reliable and predictable execution even when external conditions change.

emergence-ai

A company specializing in autonomous multi-agent orchestration to enhance enterprise workflows through intelligent AI agent coordination.

Emergence AI

Hercules AI develops enterprise-grade AI solutions that automate high-value, continuous workflows requiring cognitive decision-making. Utilizing a neuro-symbolic framework, their technology extracts, transforms, and verifies contextual information from diverse data sources, integrating with existing enterprise systems to ensure accuracy and compliance. Hercules AI's platform is designed to handle unstructured data efficiently, making it particularly beneficial for industries such as legal services, insurance, and finance.

hercules-ai

A generative AI company specializing in multi-agent systems that automate complex enterprise workflows through data extraction, transformation, and verification.

Hercules AI

CrewAI is a platform designed to facilitate the creation and deployment of multi-agent AI systems, enabling the automation of intricate workflows across various industries. It offers a framework and UI Studio for developing multi-agent automations, supporting both code-based and no-code approaches. Users can deploy their AI 'crews' with tools tailored for different deployment types and monitor their performance in real-time. CrewAI's iterative tools allow for continuous improvement of AI agents, ensuring efficient and high-quality results.

crewai

A platform for building and deploying multi-agent AI systems to automate complex workflows.

AI Agents Tagged with: multi-agent systems