Description:
Self-hosted, multi-model AI inference server that runs LLMs, TTS, STT, embeddings, and image generation behind a single OpenAI-compatible API, with GPU memory budgeting and a plugin system.
Keep Calm and Read the Friendly Manual :-)
Description:
Self-hosted, multi-model AI inference server that runs LLMs, TTS, STT, embeddings, and image generation behind a single OpenAI-compatible API, with GPU memory budgeting and a plugin system.
Description:
Docker container for development, packed with modern CLI/TUI tools, AI coding assistants, and language SDKs. A portable, one-click box for a complete terminal development environment across machines and environments.
Description:
PAIKKA is a high-performance reverse geocoding service that converts coordinates to place names using OpenStreetMap data. It offers a REST API and a web dashboard, supports boundary-aware location data, and is designed for efficient, planet-scale geocoding within the Reitti ecosystem.
Description:
tinyfeed is a lightweight CLI tool that generates a static HTML page from a collection of RSS, Atom or JSON feeds, producing a simple, customizable, portable feed aggregator page.
Description:
Noton is a free, open documentation platform built with Laravel and Filament, enhanced by Ollama and OpenClaw for private AI features. It focuses on clarity, structure, and self-hosted simplicity.
Description:
Offline-first, self-hosted travel notes app (PWA) to track trips, flights, accommodations, and documents. Data is stored locally in the browser (no backend yet). Features include trip timelines, attachments, offline support, and a simple Docker/build workflow.
Description:
Note Mark is a fast, web-based Markdown notes app with a sleek UI, supporting GitHub Flavored Markdown, HTML sanitisation, mobile-friendly notes, notebook sharing, and OIDC SSO.
Description:
Music discovery tool that provides recommendations based on selected Lidarr artists, using Spotify or LastFM.
Description:
Qlib is an AI-oriented quantitative investment platform providing data processing, ML modeling, backtesting, and deployment workflows; a framework for quantitative research with supervised learning, market dynamics modeling, and reinforcement learning.
Description:
Snacks is a highly efficient automated video library transcoder that batch encodes large video collections using hardware acceleration. It runs on NAS (Docker) or Windows desktop, tracks jobs with SQLite, supports auto-scan, distributed encoding, and real-time progress via a live FFmpeg-based dashboard.