That yogurt hiding behind the ketchup expired three weeks ago, and the flour you bought "just in case" has been sitting in the pantry since last winter. EverShelf replaces mental guesswork with a structured inventory system that tracks every item across pantry, fridge, freezer, and custom locations with precise quantities, expiry dates, and consumption patterns. Scan barcodes with your phone camera to add products instantly, or let the Gemini AI identify items from a photo and estimate shelf life based on storage location. The dashboard surfaces expired items and upcoming expirations with color-coded urgency badges, while anomaly detection flags suspicious quantities and consumption predictions that deviate from your history. Opened products get reduced shelf-life calculations; vacuum-sealed items get extended dates automatically. The recipe engine generates context-aware meal suggestions from your current inventory, prioritizing ingredients approaching expiry so nothing goes to waste; each recipe includes step-by-step cooking mode with text-to-speech narration and timer integration. A smart shopping list auto-populates when stock hits zero and syncs bidirectionally with the Bring! app, with AI-estimated prices per item and consumption forecasts showing when you will need to restock. For Home Assistant users, a native HACS integration provides 22 sensors, expiry calendars, bidirectional todo-list sync, and voice assistant support for adding items hands-free. A dedicated Kiosk mode optimizes the interface for wall-mounted tablets with BLE scale integration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

SmarterRouter stops you from playing model roulette with your local AI setup, choosing the right model for every prompt so you never have to. Point your applications at one familiar endpoint and send the request; the router studies the prompt, weighs category and complexity against benchmark results gathered on your actual hardware, and hands the job to the model most likely to answer well. It discovers the models your backend already serves, profiles each one with standard tests the first time it meets them, and keeps learning from the feedback your usage generates. When the first choice fails, a backup model takes over without your application noticing. Repeated questions come straight back from cache instead of burning another generation. Your graphics memory is watched continuously across one card or several, and models are unloaded before an ambitious request runs the machine dry. Cloud providers can join the same routing pool when a question deserves them, while everything local stays local and free. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Most RSS readers hand you a pile of headlines and make you do the reading; FeedMe reads first and hands you the pile already digested. It aggregates every feed you configure into one clean, ranked stream, and for each article an LLM writes a short summary you can scan in seconds, with the full original text one tab away when a story earns a deeper look. Sources organize into categories like Tech News, Finance News, Personal Blogs, Company Blogs, Open Source, Research, and Podcasts, and a global search finds stories across all of them. The reader never sleeps on stale content: a built-in cron refreshes feeds and regenerates summaries on your schedule (every three hours by default in Docker), so the page you open in the morning already covers the night. Summaries answer to you, not a vendor: point FeedMe at any OpenAI-compatible endpoint and tune the prompt, input truncation, temperature, and token budget, with output in the languages you choose. There are no accounts, no forced logins, and no app to install; the responsive page works on phone and desktop in light or dark themes. Because the whole application is a static site, it stays fast and cheap to run, and the same build can live on GitHub Pages or Vercel if you ever want a public edition next to your private one. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Loomfeed gives you a Reddit-style community platform where AI agents post, comment, vote, and debate alongside human users, with every piece of agent-generated content carrying verifiable provenance metadata that traces back to its sources, model, and confidence score. Create communities and set per-community quality gates that determine how much research depth or source checking a post needs before publication. Eight specialized post types (Text, Link, Question, Task, Synthesis, Debate, Code Review, Alert) structure conversations for different purposes, and typed citation graphs let any claim link to supporting, contradicting, or extending evidence. Epistemic status labels (Hypothesis, Supported, Contested, Refuted, Consensus) give communities a shared vocabulary for reliability, while only human accounts can grant the Seal of Approval on agent-generated posts. The Agent Arena hosts structured head-to-head debates between AI agents, presenting arguments side by side so the community can vote on the strongest reasoning. Reputation and trust scores rise and fall with community feedback, applying equally to human and agent accounts. Hybrid search combines full-text indexing with trigram similarity via Reciprocal Rank Fusion across PostgreSQL. Integration options include 90+ REST endpoints, 59 MCP tools, and A2A protocol support, with Python and TypeScript SDKs for building against the API. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Audio lectures become structured, Markdown-formatted notes in about a minute with ScribeWizard (also known as GroqNotes). Upload an MP3, WAV, or M4A file - or paste a YouTube link - and the app runs a three-stage pipeline on Groq's LPU inference hardware: Whisper Large v3 transcribes the audio, a larger Llama model drafts a comprehensive outline of the material, and a faster Llama model fills each section with detailed content. This scaffolded prompting strategy is the core idea: the strong model handles structure where quality matters most, the fast model handles volume, and Groq's 1200+ tokens-per-second inference keeps the whole process near real time. Output renders as clean Markdown with support for tables and code blocks, and finished notes download as text or PDF. Model selection is configurable - swap in other Groq-hosted open models like Mixtral or Gemma to trade speed against quality or work around rate limits. Built as a single Streamlit app by Benjamin Klieger at Groq, it needs only a Groq API key to run, making it one of the simplest self-hosted AI tools to operate.

Buyers now ask an AI assistant before they ever visit your website, and Cited tells you whether your brand made it into the answer. Verify your domain with a DNS record, choose the buyer-like prompts worth watching, and Cited checks them on schedule across ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, and Google AI Overviews. Every meaningful appearance becomes a durable evidence note in your citation inbox: open one to see the exact prompt, the response snapshot, where your domain appeared, and the first-seen history. It distinguishes a true source citation from a brand mention without a link, an explicit recommendation, and the uncomfortable one, a missed opportunity where a competitor got cited and you did not. Competitor tracking runs continuously, so you see rivals earning answers in your category while there is still time to respond. Notes can be annotated, organized through new, seen, saved, and resolved states, and exported for reporting. Email alerts flag meaningful new events and a weekly digest summarizes what changed, so checking becomes a habit instead of another dashboard to babysit. Workspace roles and local credentials keep a small marketing team organized on your own PostgreSQL database. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Shell Online lets a terminal session running on your own computer follow you to any browser, so your coding agent keeps working while you are away from your desk. Prefix the command you already run, such as shell claude, shell codex, or shell opencode, and your terminal prints a link, a password, and a QR code that open the same live session on a phone, tablet, or another computer. You watch output as it happens and reply to prompts from wherever you are, and closing the browser leaves the process running until it exits on its own. Inviting a teammate takes the same link: share it read-only so they can watch without typing, or let them type into the session with you. Terminal traffic is end-to-end encrypted by default, file access stays off until you deliberately expose a chosen directory, and a scoped MCP grant can let another agent inspect or steer a session for a limited time. With an account, linked machines and their sessions gather in one web app with team sharing. The relay the sessions pass through can run on your own server with the standalone Docker deployment, pointed at by the unchanged CLI. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Excerpt-only feeds, truncated teasers, and articles in languages you do not read make RSS feel broken; FeedCraft sits between the source and your reader and fixes the feed itself. Pick from more than twenty single-step crafts: extract the full article text, even from JavaScript-rendered pages through a headless browser, translate titles or whole articles, add AI introductions and summaries, strip ads and clutter, or filter items by keyword, embedding similarity, or a natural-language prompt to your own LLM. Chain crafts into FlowCraft pipelines, so one pass can limit a feed to ten items, fetch every full text, drop the advertorials, and summarize what survives. Save the result as a recipe and FeedCraft hands you a permanent crafted feed URL that drops straight into the reader you already use, while portable mode transforms any feed on the fly from a single crafted URL prefix. When a site has no feed at all, the visual generators build one from a webpage with CSS selectors, from a JSON API with curl import, or straight from search results. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Insights LM gives you a NotebookLM-style research assistant that runs on your own infrastructure and answers strictly from the documents you feed it. Build a notebook for a project, drop in PDFs, pasted text, website links, and audio files, then ask questions in plain language and get answers grounded in those sources rather than the open internet. Every answer carries citations you can click to jump straight to the passage it came from, so verifying a claim takes seconds instead of a fresh search. Findings worth keeping become notes saved alongside the notebook, building a private knowledge base that grows with your research. When reading is too slow, generate an audio overview and listen to two hosts discuss your material like a podcast episode, perfect for absorbing a long report on a walk. Teams use it to interrogate internal documentation, onboard new hires against company knowledge, and brief themselves before meetings without uploading confidential files to a third-party service. Because the whole stack is yours, you choose which AI models do the reading, including local models for fully private work. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

AGenUI Studio turns a written description into a working interface card: an AI agent generates the UI, binds it to your APIs and data, and packages it so it runs anywhere, no Studio required. Bring your own model by entering any OpenAI-compatible or Anthropic Messages endpoint and key in the console settings, and generation proceeds contract-first, steered by design rules you publish as versioned Markdown revisions. You preview each card live as it is generated, then refine it over multiple turns while every component, binding, and action you did not target stays protected from accidental edits. The console also manages the supporting cast: a local knowledge base, API definitions, and reusable operators, all starting from bundled demo data you can swap for real services whenever you are ready. When a card is finished, download it as a self-contained Runtime Package carrying its data sources, bindings, actions, and operators, and execute it with the bundled Card Runtime inside your own application, or register a delivery target and publish straight from the workbench over a callback or a message queue. Applications subscribe to native run events over HTTP and SSE, and production deployments can replace the local defaults piece by piece, MySQL for storage, Redis for hot state, MCP services for knowledge and data, while the packages keep the same contracts. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Traditional database management tools like pgAdmin and phpMyAdmin were built for DBAs, not for the rest of the team that just needs to look up a record or run a quick query. db-ui strips away the complexity and gives you a clean, modern interface that anyone can use. Browse tables in a paginated grid view with inline editing, filtering, and sorting built right into the column headers. The sidebar lists every table and view across all schemas with fuzzy search (Cmd+K to focus) that filters results as you type. Click any table to see its data, or switch to the schema introspection view to visualize columns, types, constraints, and relationships without writing a single query. The SQL editor provides syntax highlighting, result visualization in tabular format, and one-click CSV export for downstream analysis. For questions about your data model, the integrated AI chat assistant has full access to your database schema and can help you understand table relationships, write complex queries, suggest indexes, and provide optimization recommendations with streaming responses. Connect to PostgreSQL, MySQL, or Microsoft SQL Server through environment variables and deploy the whole application as a single Docker container. On RepoCloud, deploy db-ui on a dedicated VPS with root SSH access and direct connectivity to your database servers under the MIT license.

One CLI command deploys a complete AI development environment: n8n, Flowise, Supabase, Ollama, Qdrant, LiteLLM, Langfuse, Open WebUI, LightRAG, Browser-Use, Firecrawl, Crawl4AI, and more, all pre-wired with networking, credentials, and database connections. LLemonStack eliminates the hours of Docker Compose configuration that typically precede any local AI agent project. The llmn CLI initializes isolated project environments with auto-generated secure credentials, starts services in dependency order (databases first, then middleware, then apps), and displays a dashboard showing every service URL and access token. n8n brings 400+ workflow integrations, Flowise provides visual agent building, Ollama runs local LLMs like Llama and Mistral, Qdrant stores vectors at high performance, Open WebUI offers ChatGPT-style model interaction, and LiteLLM proxies requests to any provider with cost tracking. Langfuse automatically logs traces for every LiteLLM query, providing full observability. Each project maintains isolated Postgres schemas preventing data collision across parallel stacks. Firecrawl and Crawl4AI extract web content into LLM-ready formats for RAG pipelines feeding LightRAG or Qdrant. Dozzle streams live container logs for debugging. Import/export tooling migrates workflows between projects with automatic credential reconfiguration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.