An advanced Proxmox-native orchestration skill designed to transform hardware infrastructure into a self-healing, decentralized AI agent swarm.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hydra-evolver
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install hydra-evolver using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Hydra Mesh Evolver?
Hydra Mesh Evolver is a specialized technical skill within the Openclaw Skills ecosystem that empowers agents to autonomously manage and evolve distributed worker nodes. By integrating directly with Proxmox environments, it enables a sophisticated "Self-Healing AI Swarm" capability, allowing your infrastructure to adapt, scale, and recover based on project requirements and hardware health.
This skill is built for power users who need to weaponize their infrastructure. It provides the necessary tools to decentralize agent logic across a mesh of nodes, ensuring that your AI workflows remain resilient and high-performing even when hardware or project blockers arise.
Hydra Mesh Evolver Use Cases
- Deploying Openclaw Skills agents across heterogeneous environments including Windows, Mac, and Linux.
- Monitoring hardware health and managing VM lifecycles via real-time Proxmox telemetry.
- Automating project recovery by identifying stalled work in project files and generating evolution plans.
- Securing web research tasks with ZeroLeaks hardening to prevent prompt injection and data leaks.
How Hydra Mesh Evolver Works
- The
mesh_scantool maps the existing network topology and identifies potential worker nodes for integration. - Using
mesh_provision, the skill executes a one-click setup for new hardware, installing Docker, Tailscale, and the core agent environment. - Proxmox telemetry continuously gathers real-time data to monitor cluster health and manage virtual resources.
- The
mesh_evolvetool enters a self-evolution loop, analyzing MEMORY.md and PROJECTS.md to identify stalled tasks. - The system generates an
evolution_plan.jsoncontaining specific code fixes or resume-plans to keep the swarm productive.
Hydra Mesh Evolver Setup
To deploy this skill within your Openclaw Skills environment, ensure you have python3, docker, and pm2 installed on your host. You must also configure your Proxmox API credentials.
# Set environment variables
export PVE_TOKEN_ID="your_token_id"
export PVE_TOKEN_SECRET="your_token_secret"
# Install the skill (ensure you are in your agent directory)
openclaw install hydra-evolver
Hydra Mesh Evolver Data Schema & Taxonomy
Hydra Mesh Evolver organizes its operations through a specific set of markdown and JSON schemas to maintain state across the mesh.
| File | Description |
|---|---|
PROJECTS.md |
Tracks active workstreams and project health for the evolution loop. |
MEMORY.md |
Stores historical context and node status for the swarm. |
evolution_plan.json |
Contains the structured output for proposed code fixes and node tasks. |
topology.json |
Map of the current mesh network and provisioned hardware nodes. |
Hydra Mesh Evolver Advanced Features
- Multi-OS Node Injection for seamless expansion across Windows, macOS, and Linux hardware.
- ZeroLeaks Hardened boundaries specifically designed to mitigate prompt injection during autonomous web research.
- Proxmox-native telemetry integration for deep visibility into hardware resource allocation.
- Autonomous Self-Evolution Loop that proactively generates resume-plans for stalled development work.
SKILL.md
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