A professional multi-agent conversation management platform providing a Gemini-style interface for all your Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-manager-v1
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 agent-manager-v1 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 Agent Manager?
Agent Manager is a specialized dashboard designed to unify the interaction with multiple AI agents through a clean, modern interface. By providing a centralized hub for Openclaw Skills, it eliminates the need to switch between different CLI instances, offering a Gemini-inspired split-pane view that supports both text and image-based inputs. The platform focuses on productivity by ensuring that each agent maintains its own isolated context and message history.
Built for developers who require a more visual and organized way to handle complex AI tasks, this tool bridges the gap between raw CLI execution and a high-end user experience. It leverages local storage to keep your data private and secure while providing the flexibility to manage an unlimited number of Openclaw Skills from a single localhost server.
Agent Manager Use Cases
- Centralizing the management of multiple AI agents within a single, unified web interface.
- Interacting with vision-capable agents by uploading images through a simple drag-and-drop workflow.
- Maintaining persistent, isolated chat histories for different projects or Openclaw Skills sessions.
- Professionalizing AI workflows with a modern UI that replaces standard terminal-based interactions.
How Agent Manager Works
- The application authenticates with the local environment using a dedicated Openclaw operator token.
- Upon startup, the server scans the local file system for configured Openclaw Skills and agent metadata.
- The user selects an agent from the sidebar, which loads the specific context and historical data for that session.
- Commands and multimodal inputs are processed by the backend and executed via the Openclaw CLI.
- Responses are rendered in the UI and automatically persisted to the browser's local storage for future reference.
Agent Manager Setup
Prerequisites
Ensure you have Node.js installed and a valid Openclaw operator token.
Installation
cd agent-manager
npm install
Configuration
- Retrieve your token:
cat ~/.openclaw/devices/paired.json | jq '.[].tokens.operator.token'
- Edit
config.jsonand paste your token:
{
"openclawToken": "YOUR_OPERATOR_TOKEN"
}
Execution
Launch the server and access the UI at http://localhost:3000:
node server-gemini.js
Agent Manager Data Schema & Taxonomy
Agent Manager organizes data by interfacing with the local Openclaw directory structure and browser-based storage:
| Data Type | Source Path | Description |
|---|---|---|
| Agent Metadata | ~/.openclaw/agents |
Definitions and capabilities of your Openclaw Skills. |
| Workspaces | ~/.openclaw/workspace-* |
Filesystem access for agent-specific file operations. |
| History | Browser LocalStorage | Stores conversation threads to keep sessions persistent. |
| Auth | config.json |
Stores the operator token required for CLI communication. |
Agent Manager Advanced Features
- Multimodal input support for vision-based Openclaw Skills via drag-and-drop or file selection.
- Strict message isolation ensuring that conversation context never leaks between different AI agents.
- Real-time shell execution using parameterized commands to ensure secure communication with the Openclaw CLI.
- Automated history management that saves progress instantly without manual intervention.
- Gemini-style split-pane layout optimized for high-density information display.
SKILL.md
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