Contrack

Control Center is a local-first, settings-driven business intelligence dashboard for monitoring industry updates, exact brand mentions, newsletters, public audience totals, reminders, and tasks. It starts with an empty workspace that users configure with websites, RSS or Atom feeds, topic phrases, brand identities, public profiles, and optional Gmail access. Collectors run at startup, on demand, and at intervals while the app is open. Industry collection combines feeds and sitemap discovery, then applies URL and title deduplication, source priority, recency, topic and exclusion rules, change signals, event similarity, and source diversity to produce a bounded reading queue. Mention collection searches news sources and can use optional cloud AI for broader web discovery, but verifies identity on the canonical page using configured domains, handles, anchors, and negative contexts before storing a mention. Audience collection checks configured public profiles on YouTube, X, Instagram, Facebook, LinkedIn, Threads, and TikTok, retaining verified readings and historical comparison samples. Optional AI curation supports OpenAI, Anthropic, Gemini, Grok, LM Studio, and Ollama for bounded reranking, verified-page summaries, mention prioritization, and newsletter extraction. Newsletter monitoring uses a read-only Gmail OAuth connection; the selected model extracts substantive stories from matching issues, consolidates repeated coverage, and stores metadata and deduplicated topic state locally rather than retaining raw email bodies. The application can also use loopback-connected local models and an optional connector bridge for read-only summaries from services such as Gmail, Slack, Granola, Google Calendar, and Apple Messages. The dashboard runs as a Node.js application with SQLite-backed local storage and binds to 127.0.0.1. It provides launch, diagnostics, backup, development, and smoke-test commands; the documented runtime requires Node.js 24.19 or newer, npm, and a modern desktop browser. Saved settings, tokens, and provider keys remain on the local machine and are not encrypted at rest.

Dossier is a self-hosted, single-user job-search application from AienTech. It keeps career history in one profile, generates a base resume, reads job postings, matches their requirements against the profile, and drafts a tailored resume, cover letter, and application email. Its drafts are constrained to facts in the profile; missing qualifications are shown as gaps rather than invented experience. Documents can be refined through chat, exported as PDFs, and tracked on a board and table from draft to offer. It can search postings through JSearch, Adzuna, or FreeHire, optionally run a daily job search that scores new postings and prepares drafts for review, and connect to Gmail and Google Calendar for confirmed sending, reply drafting, and interview scheduling. An optional MCP connector allows Claude or another MCP application to search jobs, score postings, read the profile and applications, and save generated documents as drafts without sending or deleting anything. Dossier runs on a personal computer or self-hosted server with Docker, Node.js, CapRover, Coolify, or Dokploy. It stores data in PostgreSQL and supports local models through Ollama or LM Studio, as well as hosted models through OpenAI-compatible APIs, Anthropic, or Mistral. The project is free software under the GNU Affero General Public License v3.0.

Traccar is a free, open-source GPS tracking platform for vehicles, assets, and people. Its Java-based back-end server supports more than 200 GPS protocols and over 2,000 GPS tracking-device models, works with major SQL databases, and provides a REST API. The platform includes a browser-based live tracking dashboard, the Traccar Manager mobile app, real-time tracking, driver-behaviour monitoring, reports, geofencing, alarms and notifications, account and device management, and email and SMS support. It can be self-hosted with Docker or used through official managed hosting; the project is licensed under Apache 2.0.

NutriTrace is a self-hosted personal nutrition tracker developed by TraceApps. It runs as a single Docker container and provides a browser Progressive Web App and a native Android app for food diaries, meal and recipe logging, calorie and nutrition goals, adaptive TDEE tracking, intermittent fasting, manual activities, and wellness data. It can use Open Food Facts and USDA data, import recipes from Mealie, and integrate with Fitbit via Google Health, Withings, Garmin, and Health Connect. Its Trace AI features can read diary and wellness data, log food or activities conversationally, and propose food entries from photos for user confirmation. It also exposes selected diary, goal, and food data to external AI agents through an opt-in, read-only Model Context Protocol endpoint. The project supports multi-user access and OIDC single sign-on, provides migration tools for several nutrition trackers, and distributes its server as a Docker image. The source is licensed under AGPL-3.0; the project states that it has no telemetry or cloud synchronization unless a user opts into a third-party integration.