AI Project Manager is a Python-based CLI tool that leverages OpenAI's GPT-4 to analyze project goals, break them into actionable tasks, assign deadlines, and track progress. It simplifies project planning and management by automating milestone creation, priority ranking, and status updates, providing a centralized workflow for individuals and small teams.
AI Project Manager is a Python-based CLI tool that leverages OpenAI's GPT-4 to analyze project goals, break them into actionable tasks, assign deadlines, and track progress. It simplifies project planning and management by automating milestone creation, priority ranking, and status updates, providing a centralized workflow for individuals and small teams.
AI Project Manager uses GPT-4 to transform high-level project goals into detailed plans. Users input objectives, and the agent automatically generates task breakdowns, sets milestones with time estimates, and prioritizes deliverables. It maintains a dynamic task list, allowing users to update statuses or reprioritize on the fly. All data is stored locally in JSON or Markdown format, enabling easy export or integration with other tools. Project Manager supports multiple projects, customizable templates, and CLI-driven interactions for quick iteration. It also provides summary reports and progress tracking, ensuring clarity on project health, deadlines, and resource allocation without manual spreadsheet management.
Who will use AI Project Manager?
Project managers
Software developers
Startup founders
Small teams
Freelancers
How to use the AI Project Manager?
Step1: Clone the repository from GitHub.
Step2: Install dependencies via pip and configure Python environment.
Step3: Set your OPENAI_API_KEY environment variable.
Step4: Initialize a new project using the CLI init command.
Step5: Use the plan command to generate tasks and milestones.
Step6: Update task status with the update command as work progresses.
Step7: Export or review project summaries in JSON or Markdown.
Platform
mac
windows
linux
AI Project Manager's Core Features & Benefits
The Core Features
Automatic task breakdown from high-level goals
Milestone creation with time estimates
Priority ranking of deliverables
Status tracking and dynamic updates
Local storage in JSON/Markdown
Customizable project templates
Summary report generation
The Benefits
Saves time on manual project planning
Improves task clarity and priority
Centralizes project data locally
Simplifies progress tracking
Reduces reliance on spreadsheets
AI Project Manager's Main Use Cases & Applications