Skip to main content

Runner that provisions subagents from configs

This project has been archived.

The maintainers of this project have marked this project as archived. No new releases are expected.

Project description

LMSpace

LMSpace is a CLI tool for managing workspace agents across different backends. It currently supports VS Code workspace agents with plans to add support for OpenAI Agents, Azure AI Agents, GitHub Copilot CLI and Codex CLI.

Features

VS Code Workspace Agents

Manage isolated VS Code workspaces for parallel agent development sessions:

  • Provision subagents: Create a pool of isolated workspace directories
  • Chat with agents: Automatically claim a workspace and start a VS Code chat session
  • Lock management: Prevent conflicts when running multiple agents in parallel

The project uses uv for dependency and environment management.

Prerequisites

  • Python 3.12+
  • uv installed locally (pip install uv)
  • VS Code installed for workspace agent functionality

Quick Start

Installation

# Install lmspace as a uv-managed tool (recommended for end users)
uv tool install lmspace

# Install via uv pip (useful when managing a virtualenv manually)
uv pip install lmspace

# Or for development
uv pip install -e .[dev]

Using VS Code Workspace Agents

  1. Provision subagent workspaces:

    lmspace code provision --subagents 5
    

    This creates 5 isolated workspace directories in ~/.lmspace/vscode-agents/.

  2. Warm up workspaces (optional but recommended):

    lmspace code warmup
    

    Opens all provisioned workspaces in VS Code so they're ready for instant use.

  3. Start a chat with an agent:

    lmspace code chat <agent_config_path> "Your query here"
    

    This claims an unlocked subagent, copies your agent configuration, and opens VS Code.

  4. Example agent configuration (my-agent/ directory):

    • SUBAGENT.md - Authoritative chat mode definition; runtime launches transpile to subagent.chatmode.md
    • subagent.code-workspace - VS Code workspace settings

Command Reference

Provision subagents:

lmspace code provision --subagents <count> [--refresh] [--template <path>] [--target-root <path>]
  • --subagents <count>: Number of workspaces to create
  • --refresh: Rebuild unlocked workspaces
  • --template <path>: Custom template directory
  • --target-root <path>: Custom destination (default: ~/.lmspace/vscode-agents)
  • --dry-run: Preview without making changes

Warm up workspaces:

lmspace code warmup [--subagents <count>] [--target-root <path>] [--dry-run]
  • --subagents <count>: Number of workspaces to open (default: 1)
  • --target-root <path>: Custom subagent root directory
  • --dry-run: Show which workspaces would be opened

Start a chat with an agent:

lmspace code chat <agent_config_path> <query> [--attachment <path>] [--dry-run]
  • <agent_config_path>: Path to agent configuration directory
  • <query>: User query to pass to the agent
  • --attachment <path>: Additional files to attach (repeatable)
  • --dry-run: Preview without launching VS Code

Development

# Install deps (from repo root)
uv pip install -e . --extra dev

# Run tests
uv run --extra dev pytest

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lmspace-0.1.2.tar.gz (11.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lmspace-0.1.2-py3-none-any.whl (16.3 kB view details)

Uploaded Python 3

File details

Details for the file lmspace-0.1.2.tar.gz.

File metadata

  • Download URL: lmspace-0.1.2.tar.gz
  • Upload date:
  • Size: 11.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for lmspace-0.1.2.tar.gz
Algorithm Hash digest
SHA256 ba0b17e5aa569f3875aaf14ec712a656f5317768f1a5e692d0c2bcaa16fef01a
MD5 874498a0397a84b62e0474af5597bcde
BLAKE2b-256 1d42783c5507cbf4f01464fca781464a8e5df7b09d81af4717eb08810cf34990

See more details on using hashes here.

File details

Details for the file lmspace-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: lmspace-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 16.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for lmspace-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 0c008262aaff304c2dcdd709cf23944a112827ce239713074095766f7d9fd8bf
MD5 a851624da44e32c17e8f39cb328964f6
BLAKE2b-256 212f5e59ca2fb2406d094be9763d547027c9538fa23d2728ae3269a075f9a48f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page