Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Integrates OpenClaw agents with local open-notebook for creating, saving, and querying thematic notebooks using local Ollama AI models.
Integrates OpenClaw agents with local open-notebook for creating, saving, and querying thematic notebooks using local Ollama AI models.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
A skill for integrating OpenClaw agents with open-notebook, a local AI research assistant (NotebookLM alternative).
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)
Install Docker Desktop (required for open-notebook) Install Ollama with a model (e.g., qwen3-4b-thinking-32k) Run open-notebook: docker compose -f docker-compose-host-ollama.yml up -d Or use the default compose: docker compose up -d
The skill expects open-notebook at: UI: http://localhost:8502 API: http://localhost:5055
This skill provides these PowerShell functions directly:
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 $body }
function Search-Notebook { param( [string]$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 $body }
function New-Notebook { param( [string]$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 }
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"
# 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"
Before using, you MUST: Run open-notebook with Docker Create notebooks via the UI (http://localhost:8502) or API Get your notebook IDs from the API response Update the $NotebookId parameters in the functions
Docker Desktop running Ollama with at least one model installed open-notebook containers running (SurrealDB + app)
If API fails, check containers: docker ps Check open-notebook logs: docker compose logs Verify Ollama is running: curl http://localhost:11434/api/tags
1.0.1 - Improved documentation, included function examples
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