SlothTidy AI: Ambient Local-First Workspace Organizer & Overnight Digest Engine (Powered by Google Gemma)

A developer built SlothTidy AI, a local-first workspace organizer and overnight digest engine powered by open-weight models such as Gemma 2 and Llama 3.2 via Ollama. The tool sorts downloads, code, notes and receipts into semantic directories and synthesizes a morning brief from logs and git commits, running entirely on-device with a deterministic heuristic fallback when Ollama is offline. It uses SQLite for SHA256-checked audit logs and rollbacks and ships with a glassmorphic web dashboard and a Python CLI with zero required pip dependencies.

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady. What I Built Modern developers and knowledge workers suffer from digital fatigue: cluttered download folders, unorganized code snippets, messy receipts, and scattered daily action items. Inspired by International Sloth Day and the "Slow and Steady" challenge theme, I built SlothTidy AI — an ambient, local-first background workspace organizer and daily morning digest engine powered by open-weight AI models. Rather than being an intrusive, hyperactive assistant, SlothTidy embraces the peaceful, deliberate pace of the sloth: 1. Ambient Workspace Sorter : Silently categorizes unorganized downloads, code files, notes, and receipts into semantic directories. 2. Overnight Morning Digest : Reads raw daily thoughts, terminal logs, and git commits to synthesize a calm executive morning brief with clear action items and inspiring "Sloth Wisdom". 3. 100% Zero-Cloud Privacy : Runs entirely on open-weight models via Ollama or local deterministic semantic parser . Zero bytes or tokens ever leave the local machine. flowchart TD subgraph Input "📥 Raw Workspace Inputs" A1 "Messy Downloads & Inbox" A2 "Daily Notes & Markdown Logs" A3 "Git Commits & Standup Snippets" end subgraph Core "🦥 SlothTidy Core Engine" B1 "Local AI Engine\n Ollama Gemma 2 / Llama 3.2 " B2 "Resilient Heuristic Fallback\n Deterministic Semantic Parser " B3 "SlothStorage\n SQLite Audit & Rollback " end subgraph Actions "⚡ Autonomous Tasks" C1 "Semantic Classifier & Folder Sorter\n Receipts, Code, Notes, Projects " C2 "Daily Executive Digest Generator\n Action Items + Calm Briefing " end subgraph Interfaces "🖥️ Presentation Layer" D1 "Modern Glassmorphic Web Dashboard\n http://localhost:8765 " D2 "Rich Terminal CLI Tool\n python3 -m sloth ai " end Input -- Core B1 <-- B2 Core -- Actions Actions -- B3 Actions -- Interfaces Demo - Web UI Dashboard : Includes an interactive dark-mode glassmorphic interface to test one-click workspace tidying, dry-run audits, and real-time morning digest synthesis. - Terminal CLI : Features a clean command-line interface sloth status , sloth tidy , sloth digest , sloth serve . - Instant Verification : Self-contained zero-dependency web server and comprehensive unit test suite 100% passing . Terminal Execution Output Code How to Run Locally SlothTidy AI is engineered using Python's standard library so you can run it out of the box with zero required pip dependencies: How I Built It SlothTidy AI was built from the ground up with clean modular architecture: - Dual-Core Local Inference Engine sloth ai/core/engine.py : Seamlessly connects to local Ollama instances gemma2:2b , llama3.2 , qwen2.5 for semantic classification and natural language synthesis. If Ollama is offline, it gracefully falls back to a deterministic semantic rule parser so the application never breaks. - Storage & Audit Layer sloth ai/modules/storage.py : Uses embedded SQLite to track every organized file with SHA256 integrity checks, supporting audit logs and rollbacks. - Ambient Tidier sloth ai/modules/tidier.py : Reads file snippets safely, determines context, and relocates them into structured categorical directories work projects , finance receipts , developer code , learning notes , personal archive . - Digest Synthesizer sloth ai/modules/digest.py : Parses markdown logs, bullet points, and commit history into an actionable executive summary. - Glassmorphic Web Interface sloth ai/server/ : Built with responsive vanilla JavaScript and CSS, delivering real-time status updates and audit controls without node build tools. Why Does Open Innovation Matter? 1. Absolute User Sovereignty & Privacy : File tidying and daily diary summarization inherently touch sensitive documents tax receipts, bank statements, proprietary code, personal thoughts . Sending this data to closed cloud APIs poses major privacy and security risks. Open-source AI ensures that intelligence happens directly on device where data lives. 2. Offline Resilience & Zero Cost : True ambient background automation should not stop when Wi-Fi drops, nor should it incur recurring pay-per-token API bills. Open-weight models empower users with limitless, resilient, local compute. 3. Freedom to Customize : Open innovation allows developers and the community to inspect model prompts, modify categorization heuristics, fine-tune models on domain-specific files, and build custom workflows without corporate gatekeeping.