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πŸ¦€ ClawHub

Open Notebook Skill

by @nantes

Integrates OpenClaw agents with local open-notebook for creating, saving, and querying thematic notebooks using local Ollama AI models.

Versionv1.0.1
Downloads1,393
Stars⭐ 2
TERMINAL
clawhub install open-notebook-integration

πŸ“– About This Skill

Open Notebook Integration

A skill for integrating OpenClaw agents with open-notebook, a local AI research assistant (NotebookLM alternative).

What It Does

  • Connects your agent to open-notebook running locally
  • Creates thematic notebooks for research, agent discovery, and personal knowledge
  • Enables saving and querying knowledge across sessions (second brain for agents)
  • Supports local Ollama models (free, no API costs)
  • Prerequisites

    1. Install Docker Desktop (required for open-notebook) 2. Install Ollama with a model (e.g., qwen3-4b-thinking-32k) 3. Run open-notebook:

       docker compose -f docker-compose-host-ollama.yml up -d
       
    Or use the default compose:
       docker compose up -d
       

    Setup

    The skill expects open-notebook at:

  • UI: http://localhost:8502
  • API: http://localhost:5055
  • Functions (INCLUDED)

    This skill provides these PowerShell functions directly:

    Add-ToNotebook

    function Add-ToNotebook {
        param(
            [string]$Content,
            [string]$NotebookId = "YOUR_NOTEBOOK_ID"
        )
        $body = @{
            content = $Content
            notebook_id = $NotebookId
            type = "text"
        } | ConvertTo-Json
        Invoke-RestMethod -Uri "http://localhost:5055/api/sources/json" -Method Post -ContentType "application/json" -Body $body
    }
    

    Search-Notebook

    function Search-Notebook {
        param(
            [string]$Query,
            [string]$NotebookId = "YOUR_NOTEBOOK_ID"
        )
        $body = @{
            question = $Query
            notebook_ids = @($NotebookId)
            strategy_model = "model:YOUR_MODEL_ID"
            answer_model = "model:YOUR_MODEL_ID"
            final_answer_model = "model:YOUR_MODEL_ID"
        } | ConvertTo-Json
        Invoke-RestMethod -Uri "http://localhost:5055/api/search/ask" -Method Post -ContentType "application/json" -Body $body
    }
    

    New-Notebook

    function New-Notebook {
        param(
            [string]$Name,
            [string]$Description = ""
        )
        $body = @{
            name = $Name
            description = $Description
        } | ConvertTo-Json
        Invoke-RestMethod -Uri "http://localhost:5055/api/notebooks" -Method Post -ContentType "application/json" -Body $body
    }
    

    Notebook IDs

    After creating notebooks, update these variables in your scripts:

    $SIMULATION = "notebook:YOUR_SIMULATION_ID"
    $CONSCIOUSNESS = "notebook:YOUR_CONSCIOUSNESS_ID"
    $ENJAMBRE = "notebook:YOUR_ENJAMBRE_ID"
    $OSIRIS = "notebook:YOUR_OSIRIS_ID"
    $RESEARCH = "notebook:YOUR_RESEARCH_ID"
    

    Example Usage

    # Create a new notebook
    New-Notebook -Name "My Research" -Description "Research notes"

    Save content

    Add-ToNotebook -Content "This is my insight" -NotebookId "notebook:xxx"

    Query knowledge

    $result = Search-Notebook -Query "What did I learn about X?" -NotebookId "notebook:xxx"

    Configuration Required

    Before using, you MUST: 1. Run open-notebook with Docker 2. Create notebooks via the UI (http://localhost:8502) or API 3. Get your notebook IDs from the API response 4. Update the $NotebookId parameters in the functions

    Requirements

  • Docker Desktop running
  • Ollama with at least one model installed
  • open-notebook containers running (SurrealDB + app)
  • Troubleshooting

  • If API fails, check containers: docker ps
  • Check open-notebook logs: docker compose logs
  • Verify Ollama is running: curl http://localhost:11434/api/tags
  • Version

    1.0.1 - Improved documentation, included function examples

    βš™οΈ Configuration

    The skill expects open-notebook at:

  • UI: http://localhost:8502
  • API: http://localhost:5055
  • πŸ“‹ Tips & Best Practices

  • If API fails, check containers: docker ps
  • Check open-notebook logs: docker compose logs
  • Verify Ollama is running: curl http://localhost:11434/api/tags