Tags: #multi-agent

A comprehensive platform for building, deploying, and collaborating with AI agents, designed to enhance productivity and foster human-agent co-evolution.

Hive is a production-grade runtime harness for multi-AI agents, providing state management, fault recovery, observability, and human oversight for reliable business process automation.

A lean, lightning-fast Python framework for orchestrating autonomous, collaborative AI agents to tackle complex tasks efficiently.

A lightweight, powerful, and provider-agnostic Python framework for building complex multi-agent workflows with various LLMs.

A multi-agent framework for studying emergent behaviors and scaling laws in AI systems through simulation and interaction.

An open-source, full-featured framework for building, deploying, and managing autonomous multi-agent AI applications with ease.

Clawith is an open-source multi-agent collaboration platform that empowers AI agents with persistent identities, long-term memory, and dedicated workspaces, enabling them to function as autonomous digital employees within teams.

An agent-oriented programming framework for Java, enabling developers to build production-ready LLM-powered applications with intelligent agents, ReAct reasoning, and robust control mechanisms.

An AI multi-agent orchestration system inspired by ancient Chinese imperial governance, featuring institutional review, real-time dashboards, and full audit trails for reliable and observable AI collaboration.

Golutra is a multi-agent AI orchestration platform that unifies existing CLI tools into a collaborative hub for parallel execution, automated workflows, and enhanced developer productivity.

A multi-agent LLM framework designed to simulate real-world trading firms, enabling collaborative evaluation and informed financial trading decisions.

An enterprise-grade, production-ready framework for orchestrating complex multi-agent systems, designed for scalable deployments and seamless integration.

LazyLLM simplifies the creation and iterative optimization of multi-agent large language model (LLM) applications with a low-code approach.

A Python SDK that simplifies the creation and deployment of AI agents using a model-driven approach, supporting diverse LLMs and advanced features.

Aix-DB is an intelligent data analysis system leveraging large language models and RAG technology to transform natural language queries into data insights and visualizations.

A cutting-edge framework for multi-agent collaboration to automate real-world tasks using AI.

An open-source TypeScript framework that automatically transforms high-level goals into parallelizable task DAGs for multi-agent systems.

QwenPaw is a personal, self-hostable AI assistant platform designed for privacy, extensibility, and multi-channel integration, empowering users with full control over their data and capabilities.

An end-to-end AI Agent Engineering Platform providing an open-source TypeScript framework for building intelligent agents and a console for production-ready operations and observability.

A production-ready multi-agent system framework designed for executing complex tasks, automating workflows, and integrating with various communication channels.

A production-ready JavaScript framework for building reliable agentic workflows with natural language, supporting both computer and browser environments.

A flexible, open-source framework for orchestrating multiple AI agents to manage complex conversations and tasks efficiently.

BotSharp is an open-source .NET framework for building sophisticated AI multi-agent applications, enabling seamless integration of Large Language Models into enterprise business systems.

A production-ready Java framework for building agentic, workflow, and multi-agent AI applications with comprehensive development and management tools.

An open-source Chrome extension for AI-powered web automation, enabling multi-agent workflows with user-provided LLM API keys as a free alternative to commercial solutions.

Eigent is an open-source desktop application that empowers users to build, manage, and deploy custom AI workforces for automating complex workflows, offering a local and free alternative to commercial AI coworking platforms.

A comprehensive, multi-language framework for building, orchestrating, and deploying AI agents and complex multi-agent workflows.

An open-source TypeScript framework that automatically transforms high-level goals into parallelizable task DAGs for multi-agent systems.