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Description
HiClaw is a multi-agent operating system that is open source and operates on the Matrix framework, allowing various AI agents to work together within Matrix rooms, where their activities are fully accessible to humans in real-time. The system features a Manager Agent that oversees multiple Worker Agents, efficiently breaking down complex tasks and facilitating simultaneous execution, which enhances the management of these intricate operations. Designed with a focus on enterprise-level security and collaborative capabilities, HiClaw utilizes the open Matrix instant messaging protocol, ensuring that all communications between agents are transparent, easily auditable, and fit for distributed systems and federated environments. Humans have the ability to join any Matrix room whenever they wish, which allows them to monitor agent discussions, intervene as necessary, or adjust agent actions in real-time, thereby safeguarding oversight and control. This structured two-tier system, consisting of Manager and Worker Agents, delineates clear responsibilities for each agent, simplifying the process of integrating custom Worker Agents tailored for various applications, while also promoting adaptability within the architecture. Consequently, the design of HiClaw not only enhances operational efficiency but also paves the way for innovative uses of AI collaboration across diverse scenarios.
Description
MiniMax Mavis is an advanced AI agent system developed to automate complex workflows through coordinated collaboration between multiple intelligent agents. The platform represents a major evolution of the original MiniMax Agent product and introduces a new multi-agent architecture called Agent Teams. Instead of relying on a single AI assistant, Mavis enables teams of specialized agents to divide responsibilities, execute tasks simultaneously, and collaborate on long-duration projects. The system is designed to support research, software development, knowledge work, planning, content creation, and other business-critical processes. Mavis can maintain progress across extended workflows while reducing the interruptions and context limitations often associated with traditional AI assistants. The platform also integrates with MiniMax’s broader ecosystem of models and services, allowing users to leverage coding, multimodal, and automation capabilities from a single environment. Agent Teams can assign different roles and responsibilities to individual agents, improving efficiency and task specialization. The platform is intended to function as a digital AI assistant capable of handling increasingly sophisticated workflows with minimal supervision. By combining collaborative AI execution with long-context reasoning and automation, MiniMax Mavis helps users complete complex projects faster and more effectively.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Claude
Docker
GitHub
Hermes Agent
MiniMax
MiniMax M3
Model Context Protocol (MCP)
NVIDIA NemoClaw
Ollama
OpenAI
Integrations
Claude
Docker
GitHub
Hermes Agent
MiniMax
MiniMax M3
Model Context Protocol (MCP)
NVIDIA NemoClaw
Ollama
OpenAI
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
AgentScope
Founded
2025
Country
China
Website
hiclaw.io
Vendor Details
Company Name
MiniMax
Founded
2023
Country
China
Website
minimax.io