Files.md: Open-Source Local-First Markdown Note-Taking App with LLM-Friendly Design

Files.md is an open-source alternative to Obsidian that treats every piece of your life as plain .md files. The project has been in development for five years and currently has 886 GitHub stars. It is designed to be private, local-first, and LLM-friendly — the entire codebase is simple enough for one person or an LLM to hold in their head.
Key Features
- Local-first by default: Your data never leaves your device unless you choose to sync. No telemetry or server contact.
- Multiple sync options: iCloud, Dropbox, Google Drive (cloud-folder sync), self-hosted Go binary, or hosted beta at app.files.md.
- Works offline: Open
web/index.htmldirectly — no build system needed. Portable, just a browser. - Telegram chatbot: for on-the-go quick entry of notes, tasks, journal entries, and checklists.
- LLM-optimized: The code is simple and modular, making it easy for AI agents to extend the app to custom needs.
- One idea per note: Encourages atomic notes (one concept per file), linking via
[, and revisiting to connect ideas.
Quick Start
To try it without any setup, open app.files.md in Chrome, click Install files.md in the address bar, and open a local folder. Changes persist to disk. Force refresh (Cmd+Shift+R) occasionally for updates.
To sync across devices without a server, place your markdown folder in iCloud/Dropbox/Google Drive. For full control, run the self-hosted server (single Go binary) and optionally enable the Telegram bot.
Philosophy
Files.md intentionally omits complex plugins, graph views, and advanced templates. It restricts features to force deep thinking: start with zero folders, one note per idea, link related notes, and apply knowledge immediately. The project is built around the idea that software should stay out of the way and that LLMs can help grow the software as you grow your knowledge.
📖 Read the full source: HN LLM Tools
👀 See Also

Dual DGX Sparks vs Mac Studio M3 Ultra: Practical Comparison for Running Qwen3.5 397B Locally
A developer compared running Qwen3.5 397B locally on a $10K Mac Studio M3 Ultra 512GB and a $10K dual DGX Spark setup. The Mac Studio achieved 30-40 tok/s with 800 GB/s bandwidth but slow prefill, while the Sparks delivered 27-28 tok/s with faster compute but complex setup.

ModelFitAI: Deploy AI Agents Without VPS Setup, Built with Claude Code
ModelFitAI is a platform that lets developers deploy AI agents directly on its infrastructure, eliminating VPS setup, Docker configuration, and SSH sessions. The entire platform was built using Claude Code by a solo founder.

Local Semantic Memory Search for OpenClaw Agents Using Harrier Embeddings
Run a local embedding server with Microsoft's Harrier model, expose an Ollama-compatible API, and wire OpenClaw's memorySearch config for local semantic memory retrieval without external services.

CodeTalk: Open-source tool adds spoken reflections to Claude Code CLI
CodeTalk is a Python tool that adds spoken observations to Claude Code CLI responses using Microsoft's edge-tts. It extracts text embedded by Claude and plays it through speakers with natural-sounding neural TTS.