Tags: #multi-agent

An ultimate workspace for building, collaborating with, and managing AI agent teammates that co-evolve with users.

DeerFlow is an open-source super agent harness designed to research, code, and create by orchestrating sub-agents, memory, and sandboxes to tackle complex, long-horizon tasks.

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 framework for orchestrating role-playing, autonomous AI agents to collaboratively tackle complex tasks.

A lightweight, powerful Python framework for building and orchestrating multi-agent LLM workflows, supporting various LLMs and offering features like tools, guardrails, and tracing.

A dynamic, transparent, and customizable AI agent framework that learns and grows with the user, utilizing the operating system as a tool to accomplish tasks.

An open-source multi-agent framework dedicated to researching the scaling laws of AI agents and facilitating large-scale agent system development.

An open-source framework for building, deploying, and managing autonomous multi-agent AI applications with a modern, extensible platform.

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

A programming framework for creating multi-agent AI applications that can act autonomously or work alongside humans.

Edict is an AI multi-agent orchestration system inspired by ancient imperial governance, offering institutional review, real-time observability, and task intervention for reliable complex task execution.

golutra transforms existing CLI tools into a unified multi-agent AI collaboration hub, enabling parallel execution, automated orchestration, and real-time result tracking.

A one-stop enterprise-grade AI application development framework supporting multi-vendor LLM integration, secure knowledge bases, visual workflow orchestration, and multi-agent collaboration to rapidly build AI agent applications.

An AI-powered 24/7 customer service bot for Xianyu, featuring multi-agent decision-making, smart negotiation, and context-aware conversations.

A multi-agent LLM framework designed for financial trading research, simulating real-world trading firm dynamics for market analysis and decision-making.

A production-ready Python framework for building autonomous AI agents with integrated safety, memory, and multi-agent coordination.

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

A low-code development tool for building and iteratively optimizing multi-agent LLM applications with agility and efficiency.

Orchestrates up to eight AI models to identify and eliminate blind spots in coding tasks, ensuring high-quality software delivery through structured workflows and consensus mechanisms.

A model-driven Python SDK for rapidly building and deploying AI agents, from simple assistants to complex autonomous workflows, with minimal code.

Aix-DB is an AI-powered conversational BI system that transforms natural language into data insights and visualizations using LLMs, RAG, and a multi-agent architecture.

A cutting-edge framework for multi-agent collaboration, enabling optimized workforce learning and robust real-world task automation.

A lightweight, TypeScript-native multi-agent orchestration framework that simplifies complex goal-oriented tasks into a single function call with automatic decomposition and parallel execution.

QwenPaw is a personal, extensible AI assistant platform designed for local or cloud deployment, offering data privacy, multi-agent collaboration, and broad multi-channel integration.

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 AI agents and complex, natural language-driven workflows across both browser and Node.js environments.

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

An open-source .NET framework for building multi-agent AI applications, enabling seamless integration of LLMs into business systems with precise control over the AI processing pipeline.

A production-ready framework for Java developers to build, orchestrate, and manage agentic, workflow, and multi-agent AI applications.

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

Eigent is an open-source Cowork 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 cowork platforms.