Built atop the TauricResearch TradingAgents framework with nearly 100,000 GitHub stars, TradingAgents GUI transforms a CLI-only multi-agent LLM stock analysis pipeline into a polished web application accessible at localhost:5000. The system deploys twelve specialized AI agents — fundamental analysts, sentiment experts, technical analysts, bull and bear researchers, a trader, risk management team, and portfolio manager — who collaboratively debate market conditions through structured LangGraph workflows before producing a final BUY, SELL, or HOLD recommendation. The interface supports ten LLM providers including OpenAI, Anthropic, Google, OpenRouter, DeepSeek, Ollama, xAI, Qwen, GLM, and MiniMax, with a first-run wizard that auto-detects configured API keys and tests connections. A live pipeline visualization shows each agent's status with real-time progress bars, while the tabbed output area separates Live Feed, Reports preview, and Tool calls into dedicated panes. The three-pane Reports tab provides searchable indexing, table-of-contents navigation, and export to Markdown, HTML, or PDF formats. Report length control across Concise, Standard, and Comprehensive modes saves up to 50% on token costs. Multi-session chat allows pinning past reports as grounding context with live token counting and context-window warnings. Three built-in themes — Terminal, Modern, and Bloomberg — persist per browser. Docker Compose deployment maps port 5000 with persistent report storage. 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.

Track website traffic and conversion funnels with sub-second precision while guaranteeing visitors total anonymity with Medama, a privacy-first web analytics platform operating without cookies, IP storage, or consent banners. Site owners embed a sub-kilobyte tracking script into web headers to record page views, session duration, referrers, screen resolutions, browser user agents, and geographic countries anonymously. Built-in caching header mechanisms determine unique daily visitors without generating persistent hashes or storing cross-site identifiers that violate privacy regulations. The web dashboard visualizes hourly traffic trends with interactive area charts and provides multi-dimensional data tables breaking down top-performing pages, search engine referrers, operating systems, and campaign UTM parameters. Developers can instrument custom click events and page attributes using simple HTML data attributes to measure conversions, document downloads, button interactions, and user subscription states. Administrators manage multiple websites from a single interface, configure curated anti-spam blocklists using Firehol and Tor exit node feeds, and monitor server CPU, memory, and disk usage in real time. Full OpenAPI specification endpoints allow teams to export analytics data directly into internal business intelligence pipelines and custom executive dashboards. 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.

The first AI-enabled open-source Human Capital Management system built for the agentic era — not a legacy HRMS with AI features bolted on, but a platform architected from the ground up with native MCP, A2A, and WebMCP protocols enabling any LLM client to query employee records, create calendar entries, and orchestrate multi-step HR workflows. Built on the battle-tested SuiteCRM/SugarCRM CE foundation and extended with 17 dedicated HR modules — recruitment pipeline with candidate scoring, onboarding checklists, competency matrices, employment history tracking, leave management with accrual policies, time and attendance, resource booking, travel and expense reporting, workplace management, performance evaluations, job description builder, employer branding campaigns, offboarding workflows, and a configurable analytics engine — all controlled through granular role-based permissions. The integrated LangGraph-powered AI agent operates with human-in-the-loop confirmation before mutating data, while the MCP server layer exposes structured HR operations to Claude Desktop, GitHub Copilot, and any MCP-compatible client. Native REST API enables integration with SAP, Workday, and custom applications. Mobile apps for iOS and Android provide field access to employee data and approvals. Runs on Apache2 with PHP 8.2, MySQL 8.0 or MariaDB, and ElasticSearch 7.10+ for full-text search and list indexing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL v3 licensed.

Jellydash answers the questions every Jellyfin admin asks, starting with who is watching right now and whether that stream is transcoding. Live cards show each session's artwork, user, quality, progress, and playback method, including the reason a transcode was needed, and live TV channels appear with real program progress. Behind the scenes, a background poller records every play even when nobody has the dashboard open, building a history you can search, filter by user or library, and export to CSV with poster art intact. Older Jellyfin or Emby Playback Reporting backups import in seconds, so years of viewing are not lost when you switch. Statistics turn that history into watch-time trends, top users, device and client activity, codec breakdowns, and transcode reasons, and clicking a chart opens the exact plays behind it. A monthly recap looks back at a finished month with rankings and daily activity, while trending and all-time most-watched strips show what your household actually loves. Optional pages follow Jellyseerr requests as they arrive and read the status of SABnzbd, qBittorrent, Transmission, Deluge, and NZBGet clients without ever touching their queues. Server activity, maintenance tasks, and system status stay one click away, and selected users can be excluded from monitoring entirely. When someone presses play, a notification can reach your phone through Telegram, Pushover, Discord, ntfy, Gotify, or Web Push. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Traffic analytics, real-user performance monitoring, and client-side error tracking - normally three tools - in one cookieless, privacy-first dashboard: Swetrix. The Community Edition ships the same core engine as the cloud product - a NestJS API with ClickHouse for high-volume event storage, MySQL for relational data, and Redis for caching, fronted by a React dashboard and a ~5 KB tracking script with official packages for 20+ frameworks including Next.js, WordPress, and Shopify. Traffic analytics cover pageviews, referrers, UTM campaigns, geolocation, sessions with page flows, funnels, and custom events - all anonymized server-side with no cookies, no cross-device tracking, and no consent banner required for GDPR compliance. Performance monitoring records real-user metrics per pageview: TTFB, DNS and TLS timing, and render times, so regressions surface in the same place as traffic. Error tracking captures unhandled JavaScript exceptions automatically with formatted stack traces, filename/line metadata, affected browsers and pages, first/last-seen timestamps, and a resolve workflow - replacing a separate error monitoring subscription for many teams. Alerts fire to email, Slack, Telegram, Discord, or webhooks on traffic spikes, new errors, and custom events. If Plausible covers your traffic questions but you also want to know why the site broke, Swetrix answers both.

Maloja's one job is to be your own scrobble database, charting what you listen to from a server you control. Players and media servers that speak the native JSON API or a ListenBrainz, GNU FM, or Audioscrobbler 1.2 compatible protocol can scrobble with their own API keys. Vinyl sessions and background music can be logged by hand on a manual scrobble page. Existing history moves in from a Last.fm export, a Spotify data export, a ListenBrainz export, or another Maloja instance, while a proxy option forwards new scrobbles to Last.fm or a second Maloja server. The start page ranks top artists, tracks, and albums for today, this week, this month, this year, or all time, alongside a pulse chart of listening volume and a feed of the latest scrobbles. Artist and album pages add performance charts that follow chart position over time. Collaborations credit every artist on a track, and subunits, solo projects, and main acts can be combined or separated in charts at any time. Gold, Platinum, and Diamond awards mark tracks and albums that pass scrobble thresholds you set. Artwork can come from Last.fm, Spotify, Deezer, TheAudioDB, or MusicBrainz lookups, or from images you upload yourself. Week start, timezone, theme, and tile layout are all settings, and an API explorer lists endpoints for scripts. 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.

Founders do not need another chart of pageviews; they need to know which visit became money, and Talivia is a self-hosted, revenue-first analytics platform that fuses website traffic with payment data so every metric answers in dollars. Connect Stripe, LemonSqueezy, Polar, Dodo, or Yolfi, and the dashboard pairs visitor counts with revenue, conversion rate, revenue per visitor, refunds, and disputes, so a traffic spike that never buys anything stops masquerading as success. Referrers, campaigns, keywords, and countries are ranked by the money they produce, which reduces budget decisions to one question: which channel brought customers who actually paid? When a page underperforms, session replay shows what visitors actually did there and the moment they gave up, so you debug journeys instead of guessing from aggregates. Events and multi-step funnels trace the path from landing page to checkout, while bot traffic detection stops crawlers from inflating your conversion statistics. The live visitor feed shows who is browsing right now, with country, device, browser, acquisition source, events, and spend for each session as it unfolds. Public links publish any dashboard as a read-only page for investors or clients, and teammates join the workspace with their own accounts when they need to dig deeper. Visitors, replays, and payment records all stay in your own PostgreSQL database, so customer journeys never pass through a third-party analytics cloud. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Meteroid delivers the billing infrastructure that SaaS companies need when Stripe Billing gets too rigid and building in-house gets too expensive. The Rust backend ingests usage events via REST API or Kafka with deduplication by event ID and customer ID, storing time-series data in ClickHouse for sub-second aggregation queries across billions of events. Billable metrics transform raw events — API calls, compute time, tokens, storage, transactions — into accurate charges using configurable aggregation functions, dimensions, and filters without pre-aggregation. The plan builder supports any pricing structure: flat rate, per-unit, tiered graduated, tiered volume, package, and hybrid combinations with multiple price components per plan. Versioned plans enable pricing changes without affecting existing subscribers through grandfathering, while experiments let you A/B test pricing with controlled rollouts. Subscription management handles the full lifecycle — creation, upgrades, downgrades, mid-cycle proration, scheduled changes, and cancellation with configurable grace periods. The TypeScript frontend provides a complete web dashboard for managing customers, plans, subscriptions, invoices, and revenue analytics with MRR tracking, churn analysis, and cohort insights. Automated invoice generation handles complex scenarios including usage-based line items, credits, discounts, and tax calculations with PDF rendering. Stripe Connect integration enables payment collection directly through the platform. 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.

Its author, a student and WakaTime fan, didn't want to pay $9/month for data about his own keystrokes - so Wakapi was born, a self-hosted, WakaTime-compatible backend for coding statistics. The compatibility is the killer design decision: the official WakaTime plugins for VS Code, JetBrains IDEs, Vim, and dozens of other editors work unmodified - just point the plugin's API URL at your Wakapi instance with your personal key, and heartbeats flow to your server instead of a third party's. Duration inference matches WakaTime's own algorithm, with a configurable timeout (10 minutes by default). From that stream Wakapi builds statistics and plots across projects, languages, editors, hosts, and operating systems, plus the fun extras: public leaderboards (optionally login-gated, with configurable aggregation windows), badges for GitHub readmes, and weekly email reports. A REST API serves your data programmatically, Prometheus export feeds your existing Grafana, and a WakaTime relay mode can mirror heartbeats to both services during migration - with one-click import of historical WakaTime data. Written in Go, it is lightning fast and light enough for the smallest instance, storing to SQLite, PostgreSQL, or MySQL, with configurable data retention for GDPR peace of mind. Deliberately smaller than WakaTime, deliberately yours.

Pictaria Server sits beside your Immich instance and makes a photo library of thirty thousand images legible again, surfacing the trips, people, and best shots buried under duplicate bursts and forgotten folders. It starts with Insights: a clickable timeline of your years, detected trips, a people constellation linked by who appears together, place and camera rankings, and records like your busiest day. Click any number and you land on the actual photos, ready to open in Immich, turn into an album, or send onward. Enrich puts an AI to work describing what it sees, writing captions, menu-driven tags, and quality scores for every photo using a local model through Ollama or LM Studio, or a cloud provider with your own key, on a scheduled daily budget. Those tags can sync back into Immich, so searching improves everywhere, not just here. Curate then collapses bursts and near-duplicates into stacks with a suggested keeper, and one keystroke keeps the best and skips the rest. Smart Albums compose rules from people, places, dates, cameras, and tags, preview the result count, and maintain real Immich albums on a schedule. Frame owners get remote control, display metrics, and voice photo questions, while the Activity feed and runtime-editable Settings keep the whole box manageable from the browser. It connects with a limited-permissions API key and cannot delete a single photo. 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.

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.