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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
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    3. HiClaw
    HiClaw icon

    HiClaw

    Multi-agent Systems

    An open-source collaborative multi-agent runtime platform that enables multiple AI agents to work together in a controlled, auditable Matrix room with full human visibility and intervention.

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    At a Glance

    Pricing
    Open Source

    Free and open-source under Apache License 2.0. Self-host on any machine or Kubernetes cluster.

    Engagement

    Available On

    Windows
    macOS
    Linux
    Web
    API

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Multi-agent SystemsAgent FrameworksHuman-in-the-Loop Training

    Alternatives

    SwarmClawBeeAI FrameworkElizaOS
    Developer
    AgentScopeHangzhou, ChinaEst. 2024$20B raised

    Listed May 2026

    About HiClaw

    HiClaw is an open-source collaborative multi-agent runtime platform built on a Manager-Workers architecture. It enables multiple AI agents to collaborate in a controlled and auditable environment using Matrix protocol-based IM rooms, with full human visibility and intervention capabilities throughout every task. Deployable via a single curl | bash command or Helm chart on Kubernetes, HiClaw bundles an AI gateway, Matrix server, file storage, web client, and Manager Agent with zero external dependencies.

    • Manager-Workers Architecture: A central Manager agent orchestrates multiple Worker agents, eliminating the need for humans to oversee each individual Worker directly.
    • Multi-Runtime Collaboration: OpenClaw (Node.js), QwenPaw (Python), and Hermes (autonomous coding) Workers coexist in the same IM room, each doing what it does best.
    • Human-in-the-Loop by Default: Every Matrix room includes the user, the Manager, and relevant Workers — everything is visible and intervenable in real time.
    • Enterprise-Grade Security via Higress AI Gateway: Real credentials (API keys, GitHub PATs) stay in the gateway; Workers only hold consumer tokens, eliminating credential exposure risk.
    • MinIO Shared File System: Provides inter-agent file exchange, significantly reducing token consumption in multi-agent collaboration scenarios.
    • Kubernetes-Native Control Plane: Declarative resource management using Kubernetes-style YAML for Worker, Team, and Human resources; installable via Helm chart.
    • Skills Ecosystem: Workers pull from skills.sh (80,000+ community skills) on demand, safely, without access to real credentials.
    • Zero Configuration IM: Built-in Matrix server (Tuwunel) and Element Web client — no bot approvals, no external services, no waiting.
    • One-Command Setup: Install on macOS, Linux, or Windows with a single script; supports Docker Desktop and Docker Engine.
    • hiclaw CLI: Manage Workers, runtimes, and upgrades from the command line with the hiclaw tool introduced in v1.1.0.
    HiClaw - 1

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    Pricing

    OPEN SOURCE

    Open Source

    Free and open-source under Apache License 2.0. Self-host on any machine or Kubernetes cluster.

    • Full Manager-Workers architecture
    • Multi-runtime support (OpenClaw, QwenPaw, Hermes)
    • Higress AI Gateway
    • Self-hosted Matrix server (Tuwunel)
    • MinIO shared file system

    Capabilities

    Key Features

    • Manager-Workers architecture for agent orchestration
    • Multi-runtime collaboration (OpenClaw, QwenPaw, Hermes)
    • Human-in-the-loop via Matrix rooms
    • Higress AI Gateway for credential management
    • MinIO shared file system for inter-agent communication
    • Kubernetes-native control plane with CRDs
    • Helm chart deployment
    • Declarative resource management (YAML for Worker/Team/Human)
    • Worker Template Marketplace
    • Nacos Skills Registry
    • hiclaw CLI
    • One-command setup (curl | bash)
    • Self-hosted Matrix server (Tuwunel)
    • Element Web browser client
    • Mobile access via any Matrix client
    • Multi-region image registry support
    • Debug log export with PII auto-redaction
    • OpenAI-compatible API support

    Integrations

    OpenAI
    Qwen (通义千问)
    DeepSeek
    GitHub
    MinIO
    Higress AI Gateway
    Matrix protocol
    Element Web
    Tuwunel
    Nacos
    Kubernetes
    Helm
    Docker
    skills.sh
    MCP Servers
    API Available
    View Docs

    Reviews & Ratings

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    Developer

    AgentScope

    AgentScope builds open-source AI agent infrastructure, including QwenPaw (a personal AI assistant), AgentScope (a multi-agent framework), and AgentScope Runtime. The team focuses on practical, secure, and personalized AI assistants that users can fully control. Their projects emphasize local deployment, data privacy, and extensibility through open-source collaboration.

    Founded 2024
    Hangzhou, China
    $20B raised
    200,000 employees

    Used by

    Alibaba Cloud
    Ant Group
    CBC Bank
    Fliggy
    +2 more
    Read more about AgentScope
    WebsiteGitHubX / Twitter
    4 tools in directory

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