Work with NotebookLM through an installed command-line tool to list notebooks, add URL sources, ask questions, generate artifacts, and download results. It also provides commands for checking authentication, conversation history, and sharing status.
Experimental NotebookLM harness for listing notebooks, managing sources, asking questions, generating artifacts, and downloading outputs through an installed notebooklm CLI.
Review the instructions the agent will receive before you install.
Experimental NotebookLM harness for CLI-Anything.
This package is intended to be installed from the harness directory:
cd notebooklm/agent-harness
python3 -m pip install -e .
Install the upstream NotebookLM CLI if needed:
python3 -m pip install --user 'notebooklm-py[browser]'
python3 -m playwright install chromium
notebooklm command installed locally# Show help
cli-anything-notebooklm --help
# Start with a notebook context
cli-anything-notebooklm --notebook nb_123 source list
# Prefer JSON for agent use
cli-anything-notebooklm --json notebook list
| Group | Purpose |
|---|---|
auth | login and auth validation |
notebook | notebook list, create, summary |
source | source listing and URL add |
chat | ask questions and inspect history |
artifact | list and generate artifacts |
download | fetch generated outputs |
share | inspect sharing state |
cli-anything-notebooklm auth statuscli-anything-notebooklm --json notebook list--notebook for follow-up commands--json only where the upstream notebooklm command supports it--notebook.--json for machine-readable output only on commands that support it upstream.No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Use Codex to build Python command-line tools for applications with graphical interfaces. Analyze source code, add commands, test against the actual software, validate packaging and documentation, and discover tools already generated or installed.
Use Reasonix to build or improve a Python command-line interface for existing software. The workflow covers source analysis, interactive commands, JSON output, tests, documentation, and installation checks using the software’s own backend where possible.
Build and improve Python command interfaces for GUI applications with OpenClaw. The skill guides source analysis, command design, testing, and packaging, including interactive sessions and structured JSON output for agents.
Inspect and edit 3MF files for 3D printing. Detect cylindrical holes, change their diameters, repair mesh issues, and compare files while preserving BambuStudio and PrusaSlicer metadata when repacking the edited file.
Manage AdGuard Home network filtering from the command line. Update blocklists, register devices, configure DNS rules that map names to addresses, and inspect query logs and statistics through the AdGuard Home REST API.
Generate slides, documents, websites, and diagrams from natural language prompts through AnyGen OpenAPI. Manage reference uploads, check generation progress, and download finished files using commands with structured output for AI agents.