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runtimed

Python bindings for the nteract runtime daemon. Execute code, manage kernels, and interact with notebooks programmatically.

Download the nteract desktop app — it ships the runtimed daemon and gives you a visual interface for your notebooks.

Using runtimed with agents? The nteract MCP server is built on runtimed and provides a ready-made agentic interface for AI assistants. It's also a great example of how to use runtimed in practice.

Installation

pip install --pre runtimed
# or: uv pip install --prerelease allow runtimed

Only pre-release wheels are being published while the library surface settles. The stable channel is frozen at the last-shipped release; the --pre channel tracks the nightly desktop app and discovers the nightly daemon socket automatically. See #2217 for context.

Client() and the high-level Python API use default_socket_path() by default. That helper respects RUNTIMED_SOCKET_PATH, so exported test or MCP sockets take precedence over the package's default channel.

Quick Start

All examples use await — run them inside asyncio.run(main()), a Jupyter notebook, or a Python REPL with top-level await (e.g. python -m asyncio).

import asyncio
import runtimed

async def main():
    client = runtimed.Client()
    notebook = await client.create_notebook()

    # Create and execute cells
    cell = await notebook.cells.create("print('hello')")
    execution = await cell.execute()
    result = await execution.result()
    print(execution.execution_id)  # durable execution UUID
    print(result.stdout)  # "hello\n"
    recovered = await client.get_execution_result(execution.execution_id)
    print(recovered.stdout)

    # Read cell properties (sync — local CRDT replica)
    print(cell.source)      # "print('hello')"
    print(cell.cell_type)   # "code"

    # Edit cells
    await cell.set_source("x = 42")
    execution = await cell.execute()
    await execution.result()

    # Save the notebook
    path = await notebook.save_as("/tmp/my-notebook.ipynb")

asyncio.run(main())

Features

  • Document-first model with Automerge CRDT sync
  • Sync reads, async writes — reads from local replica, writes sync to peers
  • Multi-client support for shared notebooks
  • Rich output capture (stdout, stderr, display_data, errors)

API Overview

Client

client = runtimed.Client()

# Discover active notebooks
notebooks = await client.list_active_notebooks()
for info in notebooks:
    print(f"{info.name} [{info.status}] ({info.active_peers} peers)")

# Open, create, or join notebooks
notebook = await client.open_notebook("/path/to/notebook.ipynb")
notebook = await client.create_notebook(runtime="python")
notebook = await client.join_notebook(notebook_id)

If you need to target a specific release channel instead of the current process default:

import os
import runtimed

os.environ["RUNTIMED_SOCKET_PATH"] = runtimed.socket_path_for_channel("nightly")
client = runtimed.Client()

Use default_socket_path() for normal current-process behavior. Use socket_path_for_channel("stable"|"nightly") only for explicit channel targeting or cross-channel discovery because it intentionally ignores RUNTIMED_SOCKET_PATH.

Notebook

async with await client.create_notebook() as notebook:
    # Cells collection (sync reads, async writes)
    print(len(notebook.cells))
    for cell in notebook.cells:
        print(f"{cell.id[:8]}: {cell.source[:40]}")

    # Runtime state (sync read from local doc)
    if notebook.runtime.kernel.status == runtimed.KERNEL_STATUS.IDLE:
        print("kernel is idle")

    # Runtime lifecycle
    await notebook.start(runtime="python")
    await notebook.restart()
    await notebook.interrupt()
    await notebook.save()
# Session closed automatically on exit

Cells

# Create cells
cell = await notebook.cells.create("import math")
cell = await notebook.cells.insert_at(0, "# Title", cell_type="markdown")

# Access cells
cell = notebook.cells.get_by_index(0)    # by position
cell = notebook.cells.get_by_id(cell_id) # by ID
matches = notebook.cells.find("import")  # search source

# Read properties (sync)
print(cell.source, cell.cell_type, cell.outputs)

# Mutate (async)
await cell.set_source("x = 2")
await cell.append("\ny = 3")
result = await cell.run()
await cell.delete()

Requirements

Documentation

See crates/runtimed/AGENTS.md for architecture and Python binding usage.

Metadata

Release files for runtimed 2.8.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for runtimed 2.8.2
File
runtimed-2.8.2-cp39-abi3-win_arm64.whl CPython 3.9 abi3 Windows ARM64 Details
runtimed-2.8.2-cp39-abi3-win_amd64.whl CPython 3.9 abi3 Windows x86-64 Details
runtimed-2.8.2-cp39-abi3-manylinux_2_39_x86_64.whl CPython 3.9 abi3 Linux glibc 2.39+ x86-64 Details
runtimed-2.8.2-cp39-abi3-manylinux_2_39_aarch64.whl CPython 3.9 abi3 Linux glibc 2.39+ ARM64 Details
runtimed-2.8.2-cp39-abi3-macosx_11_0_arm64.whl CPython 3.9 abi3 macOS 11.0+ ARM64 Details
runtimed-2.8.2-cp39-abi3-macosx_10_12_x86_64.whl CPython 3.9 abi3 macOS 10.12+ x86-64 Details

Total release size: 125.8 MB

Release files / runtimed-2.8.2-cp39-abi3-win_arm64.whl

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Size 18.9 MB
Tags CPython 3.9 Windows ARM64 abi3
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Release files / runtimed-2.8.2-cp39-abi3-win_amd64.whl

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Size 19.4 MB
Tags CPython 3.9 Windows x86-64 abi3
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Release files / runtimed-2.8.2-cp39-abi3-manylinux_2_39_x86_64.whl

Download URL runtimed-2.8.2-cp39-abi3-manylinux_2_39_x86_64.whl
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Release files / runtimed-2.8.2-cp39-abi3-manylinux_2_39_aarch64.whl

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Release files / runtimed-2.8.2-cp39-abi3-macosx_11_0_arm64.whl

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Release files / runtimed-2.8.2-cp39-abi3-macosx_10_12_x86_64.whl

Download URL runtimed-2.8.2-cp39-abi3-macosx_10_12_x86_64.whl
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