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This project has been archived.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 and optionally warm up subagent workspaces:

    lmspace code provision --subagents 5 [--warmup]
    

    This creates 5 isolated workspace directories in ~/.lmspace/vscode-agents/. Add --warmup to open the newly provisioned workspaces immediately.

  2. 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.

  3. 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>] [--warmup]
  • --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
  • --warmup: Launch VS Code for the provisioned workspaces once provisioning finishes

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-0.1.3.tar.gz (11.5 kB view details)

Uploaded Source

Built Distribution

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

lmspace-0.1.3-py3-none-any.whl (16.6 kB view details)

Uploaded Python 3

File details

Details for the file lmspace-0.1.3.tar.gz.

File metadata

  • Download URL: lmspace-0.1.3.tar.gz
  • Upload date:
  • Size: 11.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for lmspace-0.1.3.tar.gz
Algorithm Hash digest
SHA256 025652fe9b730804c7e664ee5d458c66cb36e4a8b9b042ae9bbf812a15232afd
MD5 50614b280aeab4e88bcc7b0bd2ad6507
BLAKE2b-256 b35aca82360e3d03af1cac3cc32bb1f5e35cd0d2cdf7e57c15506734fac0d102

See more details on using hashes here.

File details

Details for the file lmspace-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: lmspace-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 16.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for lmspace-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 11020ffdbeeb88be8fa9185f2d98b75df186cc7f8b14ad571671ebd0371f30f4
MD5 78c7f2c8340287ddb1e0f506977c9ab0
BLAKE2b-256 befa364fe6894787bf2e191d99a4ffe7a96aee237738d72e74a125fe3a4da051

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