iyaja/llama-fs

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

5836 stars · 385 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

LlamaFS is a self-organizing file manager that uses the Llama 3 model to automatically rename and organize files based on their content and conventions. It runs in batch mode for one-time directory organization and watch mode as an interactive daemon that learns from your renaming habits, with an incognito mode routing requests through Ollama for privacy.

Use cases

• automatically organize my messy downloads folder
• rename files based on their content using AI
• watch a directory and auto-organize new files as I add them
• organize files locally without sending data to an API
• summarize and sort images and audio files automatically
• suggest a new folder structure for a directory

When to choose

• you want AI-assisted automatic file organization and renaming
• you need privacy-conscious local inference via Ollama
• you want a daemon that learns your naming conventions over time
• you handle mixed media types including images and audio

When to avoid

• you need a fully reliable, production-grade file system tool - LLM suggestions can be wrong
• you cannot run Python 3.10+ or a local LLM backend
• you want minimal resource usage - LLM inference adds overhead
• you need deterministic, rule-based organization rather than model-driven suggestions

Facets

application · maturity active

file-system llm-inference agent-framework gui caching files developer-tools artificial-intelligence large-language-models python cross-platform file-organization ollama llama-3 self-organizing-filesystem electron-app whisper moondream privacy-mode desktop electron

Member repositories

For agents

markdown · JSON · MCP: product_card(name="iyaja/llama-fs")