PanWatch

OpenStock is an open-source stock market web application developed by Open Dev Society. It provides stock search, watchlists, company profiles and financial information, market news, TradingView charts and market widgets, personalized alerts, and support for more than 30 international exchanges. It is a market-information app rather than a brokerage, and data may be delayed according to provider limits. The application uses Next.js, React, TypeScript, Tailwind CSS, shadcn/ui, Better Auth, MongoDB, Finnhub, and TradingView widgets. Inngest runs background workflows for AI-personalized welcome emails and scheduled news summaries; optional sentiment insights use Adanos across sources including Reddit, X.com, news, and Polymarket. It can run locally or with Docker Compose, using MongoDB for persistence and Finnhub credentials for market data. The repository is licensed under AGPL-3.0, including source-release requirements for modified, redistributed, or deployed versions.

Whale Trades is a free crypto-market dashboard for viewing real-time market signals and data in one place. It tracks Bitcoin, Ethereum, and altcoin indicators such as Pi Cycle Top, Puell Multiple, an RSI heatmap, sentiment, liquidations, open interest, ETF inflows, long/short ratios, and live events. The dashboard also provides position-sizing, risk-to-reward, percentage-change, and DCA-related calculation tools, along with a volume heatmap and exchange finder.

News Dashboard is a self-hosted technical-news inbox and AI research desk that aggregates curated RSS and Atom feeds, GitHub release feeds, Hacker News and GitHub trending feeds, and custom scraped sources into curated feeds and a ranked Today Feed. Articles can be marked new, read, saved, skipped, archived, starred, or snoozed; the application also provides source-health monitoring, ingestion history, dashboard statistics, search, reading history, a knowledge graph, and saved learning artifacts. When an AI provider is configured, it generates personalized briefings, article takeaways, context, and perspectives, and answers cited follow-up questions grounded in the collected corpus. It supports embeddings, configurable OpenAI-compatible providers, and a Google Reader-compatible synchronization API for third-party RSS clients. The application uses a Python and FastAPI backend with APScheduler, LangChain, and LangGraph; a React, TypeScript, Vite, and TanStack Query frontend; and PostgreSQL with the pgvector extension. It supports local password authentication, optional Keycloak login, and deployment through Docker, Helm, and GitHub Actions on the operator’s own infrastructure, with configuration for the database, authentication, and AI provider.

World Monitor is an open-source global intelligence dashboard developed in the koala73/worldmonitor project. It aggregates curated global and regional news, geopolitical information, infrastructure signals, and financial data into a unified situational-awareness interface, producing AI-synthesized briefs and tracking military, economic, disaster, and escalation signals. The application provides both a 3D globe and a WebGL flat map using a shared map-layer catalog, a server-authoritative Country Instability Index, and finance views for stock exchanges, commodities, crypto, and composite market signals. It supports local AI through Ollama without API keys, as well as other documented AI providers, and exposes an MCP server for programmatic access by agents and scripts. The repository supports multiple site variants from one codebase, including world, tech, finance, commodity, energy, and happy views. It also distributes a Tauri desktop application for macOS, Windows, and Linux, and documents self-hosting through Vercel, Docker, or static deployment.

Waku Agent is an open-source, local-first personal assistant and AI-agent harness built by seanchen.io. It runs on a laptop through a terminal, local browser dashboard, voice input, or Telegram gateway, and is organized around four components: a harness for tool execution, an approximately 95-line plain-Python agent loop, memory, and evaluation/LLM operations. Its memory uses semantic, episodic, and procedural stores in a local SQLite database, with a gate that decides whether to retrieve or save memory and a pass that determines what to retain. The project includes deterministic tests alongside LLM-as-judge evaluation with a release gate. The dashboard displays message flow through the harness, including gate decisions, tool calls, loop iterations, memory updates, traces, costs, and latency; it also includes views for workflows, tools and MCP connectors, memory, and the SQLite state database. It can be installed with pip and exposes the `waku` command. The dashboard runs a local web server at `127.0.0.1:7777`, and the Telegram gateway starts when `TELEGRAM_BOT_TOKEN` is configured. Model providers are selected through a provider setting and API key, with support stated for Anthropic, OpenAI, Gemini, DeepSeek, MiniMax, Kimi, GLM, OpenRouter, OpenCode Zen, and OpenCode Go.