PersonalOS provides a framework for a local AI-powered task management system, addressing the challenge of information overload and task prioritization. It targets individuals seeking to maintain focus by automatically organizing unstructured notes into actionable, prioritized tasks aligned with personal goals. The primary benefit is an automated, goal-driven workflow that reduces manual organization effort.

How It Works

The system employs a simple "brain dump, process, organize" workflow. Users input unstructured notes into BACKLOG.md. Upon command (e.g., "process my backlog"), an integrated AI assistant analyzes these notes, cross-references them with user-defined goals in GOALS.md, and generates prioritized tasks. Key features include smart deduplication of tasks and natural language interaction, allowing users to manage their workflow conversationally.

Quick Start & Requirements

• Install: Clone the repository (git clone https://github.com/amanaiproduct/personal-os.git) and run the setup script (./setup.sh).
• Prerequisites: Basic setup requires only bash. Python 3.10+ is necessary for the optional MCP server.
• Setup Time: Approximately 2 minutes.
• Links: Repository: https://github.com/amanaiproduct/personal-os.git.

Highlighted Details

• Goal-driven prioritization automatically aligns tasks with user-defined objectives.
• Smart deduplication identifies and consolidates redundant tasks.
• Natural language commands enable intuitive interaction with AI assistants.
• Session evaluations provide a mechanism for reviewing AI performance.
• Optional MCP server integration supports various AI assistants.

Maintenance & Community

The repository outlines contribution guidelines within the core/ directory, emphasizing generic, configurable, and documented code. Specific details regarding active maintainers, community channels (like Discord/Slack), or a public roadmap are not provided in the README.

Licensing & Compatibility

Licensed under CC BY-NC-SA 4.0. This license permits non-commercial use, modification, and sharing with attribution. While commercial sale is prohibited, internal use within a business is permitted.

Limitations & Caveats

The README does not specify limitations, known bugs, or an alpha/beta status. Core functionality relies on the user's chosen AI assistant and its integration capabilities. The MCP server is an optional component requiring a specific Python version.