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What is HiClaw?

HiClaw is an open-source multi-agent operating system built on the Matrix framework, enabling various AI agents to collaborate in Matrix rooms where their activities can be monitored by humans in real-time. The system is equipped with a Manager Agent that supervises several Worker Agents, effectively decomposing complex tasks to allow for parallel execution, which improves the handling of these sophisticated operations. Prioritizing enterprise-grade security and teamwork, HiClaw leverages the open Matrix instant messaging protocol, guaranteeing that all communications among agents are transparent, easily auditable, and suitable for distributed and federated environments. Humans can join any Matrix room at their discretion, providing them with the ability to observe agent conversations, intervene when necessary, or modify agent actions in real-time, thereby ensuring proper oversight and governance. This organized two-tier structure, comprising Manager and Worker Agents, establishes distinct responsibilities for each agent, making it easier to incorporate custom Worker Agents for various applications and encouraging flexibility within the system. As a result, HiClaw not only boosts operational efficiency but also opens doors for creative applications of AI collaboration in a wide array of contexts. Ultimately, the system's design supports a future where AI can work alongside humans seamlessly across different operational landscapes.

What is AG2?

AG2 is an open-source AgentOS designed to facilitate the swift creation of production-ready AI agents and multi-agent systems in mere minutes instead of the traditional months. Formerly branded as AutoGen, it provides a Python framework for building, managing, and scaling AI agents that collaborate effectively within a shared context while leveraging tools, executing workflows, and supporting both autonomous operations and human participation. This platform is specifically aimed at developers who prioritize system creation over simple prompt generation, boasting intuitive syntax, built-in conversation patterns, and a robust framework for automating multi-agent interactions. Within AG2, agents can expand their capabilities through a variety of tools, allowing them to interact with external systems, access real-time data, execute code, perform web searches, process documents, and address complex tasks that go beyond a model's fundamental knowledge. The framework supports an extensive array of large language model (LLM) providers and local models, including endpoints compatible with OpenAI, Anthropic Claude, Gemini via Vertex AI, DeepSeek, and LM Studio, making it a highly adaptable option for developers. Additionally, AG2's ability to streamline the development workflow results in a notable acceleration of innovation in AI solutions, which can be applied across numerous sectors and industries. Developers leveraging AG2 can significantly enhance their productivity and creativity in crafting advanced AI applications.

Media

Media

Integrations Supported

Claude
OpenAI
Docker
GitHub
Hermes Agent
Model Context Protocol (MCP)
NVIDIA NemoClaw
Ollama
OpenClaw
PowerShell
Qwen
QwenPaw

Integrations Supported

Claude
OpenAI
DeepSeek
Gemini
Hindsight
LM Studio
Python
Vertex

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

AgentScope

Date Founded

2025

Company Location

China

Company Website

hiclaw.io

Company Facts

Organization Name

AG2

Date Founded

2024

Company Location

United States

Company Website

www.ag2.ai/

Categories and Features

Agentic AI

Not specified

Agentic Orchestration

Not specified

Categories and Features

Agentic AI

Not specified

Agentic Orchestration

Not specified

AI Agent Builders

Not specified

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