lmspace 0.1.1

Runner that provisions subagents from configs

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 and Azure AI Agents.

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/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.chatmode.md - Chat mode configuration and instructions
   • 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/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