List all Jupyter notebooks in a directory.

Find notebooks by filename.

Useful when you know the notebook name but not the full path.

Get information about a notebook including cell counts and kernel info.

Read content of a specific cell in a notebook.

Read all cells from a notebook.

Append a new cell to the end of a notebook.

Insert a new cell at a specific position in the notebook.

Update content of an existing cell.

Delete a cell from the notebook.

List all running Jupyter kernels.

Returns: JSON with list of kernels (id, name, state, connections)

Start a new Jupyter kernel.

Stop a running kernel.

Restart a kernel (clears all state).

Interrupt a running kernel (stop current execution).

Execute Python code in a running kernel.

Connect to a notebook's kernel (create session if needed).

This gets an existing kernel session for the notebook or creates a new one. Use the returned kernel_id for subsequent execute_code calls.

Execute a specific cell in a notebook.

This will:

1. Connect to the notebook's kernel (or create one)

2. Execute the cell's code

3. Save outputs to notebook file (visible in VS Code)

4. Return the execution outputs

Index or update knowledge directory for semantic search.

Supports: .md (markdown), .py (Python), .ipynb (Jupyter notebooks)

Search knowledge base with semantic similarity and filters.

Searches across .md, .py, and .ipynb files.

List all indexed knowledge directories with statistics.

Returns: JSON with list of indexes (directory, collection, file_count, last_updated)

Manually force refresh of knowledge index.

Extract all unique tags from indexed documents with counts.

List available metadata fields for filtering with examples.

Drop index and remove all cached data for a directory.

List all registered knowledge bases from ~/.aix/knowledges.yaml.

Shows which knowledge bases are registered, whether they exist, and whether they have been indexed.

Returns: JSON with knowledge bases information including paths, descriptions, tags, existence status, and index status

Create a new project.

Projects are stored in ~/.aix/projects/ and contain:

• description.md: Project description and metadata

• log.md: Timestamped log entries

• context.json: Machine-readable project state

List all projects.

Returns: JSON with list of all projects including name, status, type, tags, and timestamps

Get detailed information about a project.

Update project description.

Add a log entry to project.

Log entries are automatically timestamped and appended to the project's log.md file.

Read recent log entries from project.

Set or update project context.

Context is machine-readable state stored in context.json. Only provided fields are updated.

Get project context.