Skip to main content

LLM-Native Project Management System

A project management system designed for LLM agents as first-class citizens. Track issues, log work, and manage projects with rich context - all optimized for AI workflows.

🚀 Quick Start (2 minutes)

One-Command Setup

make quickstart

This will:

  1. Install all dependencies
  2. Initialize the database
  3. Start the web UI at http://localhost:1929
  4. Copy Claude Desktop integration command to clipboard

Manual Setup

# 1. Install dependencies
pip install -r requirements.txt
cd mcp && pip install -r requirements.txt && cd ..

# 2. Initialize database
make init-db

# 3. Start services
make start  # Starts all services

🎯 Core Features

  • Rich Issue Tracking - Issues with comprehensive specs and technical approaches
  • Work Logging - Track development activity with artifacts and context
  • Git Integration - Automatic branch creation and commit formatting
  • Web UI - Visual dashboards and issue management at http://localhost:1929
  • MCP Tools - 23 tools for LLM agents to manage projects

📋 Basic Usage

Create an Issue

pm_create_issue --type feature --title "Add user auth" --description "..."

Start Work

pm_start_work --issue-key LAZY-001

Log Progress

pm_log_work --issue-key LAZY-001 --activity code --summary "Implemented JWT"

View Status

pm_status  # Project overview
pm_list_issues  # All issues

🔧 Claude Desktop Integration

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "pm-server": {
      "command": "python",
      "args": ["/path/to/lazy-llms/mcp/src/server.py"],
      "env": {
        "PM_DATABASE_PATH": "/path/to/lazy-llms/data/jira_lite.db"
      }
    }
  }
}

📂 Project Structure

lazy-llms/
├── mcp/src/              # MCP server for LLM integration
├── src/jira_lite/        # Web UI and database
├── data/                 # Database files
├── scripts/              # Utility scripts
└── docs/                 # Documentation

🛠 Available Commands

  • make quickstart - Complete one-command setup
  • make start - Start all services
  • make stop - Stop all services
  • make init-db - Initialize database
  • make clean - Clean generated files
  • make help - Show all commands

📚 Documentation

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Submit a pull request

📄 License

MIT License


Built for AI agents, by AI agents 🤖

Download files

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

Source Distribution

iflow_mcp_juliusolsson05_lazy_llms-0.1.0.tar.gz (61.4 kB view details)

Uploaded Source

Built Distribution

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

File details

Details for the file iflow_mcp_juliusolsson05_lazy_llms-0.1.0.tar.gz.

File metadata

  • Download URL: iflow_mcp_juliusolsson05_lazy_llms-0.1.0.tar.gz
  • Upload date:
  • Size: 61.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.0 {"installer":{"name":"uv","version":"0.10.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for iflow_mcp_juliusolsson05_lazy_llms-0.1.0.tar.gz
Algorithm Hash digest
SHA256 afe3d67f5c50eca400659a84ce5bfafca8c109534667826d4af02fd977a5c759
MD5 abe86357663f2ba5be69c98adcee8ab8
BLAKE2b-256 ec6a134056fafcb4b51cdd6d401c51285f901e5c49df76d39421d2e8738032f7

See more details on using hashes here.

File details

Details for the file iflow_mcp_juliusolsson05_lazy_llms-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: iflow_mcp_juliusolsson05_lazy_llms-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 65.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.0 {"installer":{"name":"uv","version":"0.10.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for iflow_mcp_juliusolsson05_lazy_llms-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3e8874be764add0083334cc4a3d6ba5c5a089c740b1fd91740fab6be53ddc7f8
MD5 4a744b26d532049b314558af07327658
BLAKE2b-256 8be4ff4c1ca182dc0dc9562b59cc6599f198a81709ddb03a02ffc75b2468dd04

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 files

Supported by

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