Cognee gives AI agents persistent long-term memory that survives across sessions, replacing the traditional stack of separate graph, vector, and session databases with a unified engine running on a single PostgreSQL instance. The memory-native API exposes four verbs (remember, recall, forget, and improve) enabling agents to persist context, retrieve cited answers, prune outdated knowledge, and self-improve from feedback. Under the hood, Cognee combines pgvector embeddings with a PostgreSQL-native graph store and cognitive-science-grounded ontology generation, delivering hybrid retrieval that fuses semantic similarity, structural graph traversal, and lexical search in a single query. Integrations span Claude Code, Cursor, LangGraph, OpenAI Agents, and any MCP-compatible client through a dedicated MCP server on port 8001, while the Python and TypeScript SDKs provide direct programmatic access. The platform supports swappable backends including Neo4j, FalkorDB, Qdrant, ChromaDB, Weaviate, Milvus, and LanceDB for teams with existing infrastructure. Built-in OpenTelemetry tracing, an experimental dashboard with knowledge graph visualization, multi-tenant user isolation, and audit trails ensure production readiness. Deploy via Docker Compose with optional profiles for PostgreSQL, Neo4j, Redis, and the web frontend. Reached v1.0 in April 2026 with 30,000+ stars. 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.

Backed by over 56,000 GitHub stars and a growing ecosystem of client and server SDKs covering Flutter, React Native, Swift, Kotlin, Python, Node.js, Deno, and more, Appwrite provides a complete backend platform that replaces Firebase and Supabase with a fully self-hostable architecture. The authentication module supports email and password, phone OTP, magic links, OAuth providers including Google, GitHub, Apple, and Facebook, anonymous sessions, and JWT token management with configurable session policies. The database service provides a document-oriented store with collections, indexes, query filters, pagination, and real-time subscriptions that push changes to connected clients instantly via WebSocket. The storage service handles file uploads with built-in image manipulation including cropping, resizing, format conversion, and compression, served through a CDN-ready URL structure. Serverless functions execute custom backend logic triggered by HTTP requests, scheduled cron jobs, or database events, with runtime support for Node.js, Python, PHP, Ruby, Dart, Swift, Kotlin, and Java. The messaging service enables push notifications, SMS, and email delivery through configurable providers including APNS, FCM, Twilio, Vonage, Mailgun, and Sendgrid. Team management with role-based permissions, webhook integrations, and health monitoring APIs complete the platform. The admin console provides a web-based dashboard for managing all services, monitoring usage metrics, and configuring project settings. Deployment runs via Docker Compose with MariaDB for metadata and configurable storage adapters. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD 3-Clause licensed.

Any existing relational database becomes a collaborative, Airtable-style smart spreadsheet under NocoDB. It connects to PostgreSQL, MySQL, MariaDB, SQL Server, or SQLite, introspects the schema - tables, relationships, indexes - and renders it as interactive Grid, Gallery, Kanban, Calendar, and Form views without migrating a single row. Your business data stays in your database; NocoDB keeps only its own metadata (view configs, permissions, webhooks) in a separate store. Every connected table automatically gets REST APIs with Swagger documentation, effectively turning legacy databases into modern backends. The spreadsheet layer adds 20+ field types including formulas, lookups, rollups, links, attachments, and currency, plus sorting, filtering, grouping, and multi-field editing. Views can be locked or shared publicly with password protection, role-based access control scopes permissions per user, and webhooks plus CSV, Excel, and Airtable import round out integration. An ERD view visualizes the schema. Built with Node.js and Vue, deployed via Docker, handling millions of rows.

With 26,600 GitHub stars, 50 contributing companies including AWS, Google Cloud, Oracle, and Ericsson, and governance under the Linux Foundation ensuring the BSD 3-Clause license can never be revoked by a single entity, Valkey delivers a truly open-source Redis-compatible key-value datastore that reached 1.19 million requests per second in version 8.0 through redesigned asynchronous I/O threading across CPU cores while maintaining single-threaded data structure operations for predictability. Native data structures include strings, hashes, lists, sets, sorted sets, bitmaps, HyperLogLogs, streams, and geo-spatial indices with JSON support through modules. Valkey 9.0 shipped full-text search and aggregation via Valkey Search, enabling tag queries, numeric filtering, and text matching directly within the datastore without external search engines. Cluster mode provides horizontal scaling with automatic sharding, replication for high availability, and per-slot metrics for granular monitoring. Lua scripting enables complex atomic operations, while the module plugin system extends the server with custom commands and data types including probabilistic Bloom filters. Client libraries for Python, Java, Go, Node.js, and PHP maintain full Redis OSS protocol compatibility — existing Redis applications work without code changes. Deploy as a standalone daemon or in clustered mode with Docker, supporting persistent and ephemeral workloads on any Linux host. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD 3-Clause licensed.

The integrations your SaaS product offers its own users - that is what Nango, an open-source product-integrations platform, exists to build. It solves the repetitive infrastructure work behind every third-party API connection: OAuth flows, API key handling, token refresh, encrypted credential storage, rate-limit backoff, retries, and multi-tenant connection management. It ships pre-built auth configurations for 800+ APIs. Your users connect their accounts through an embeddable, white-label Connect UI, and your backend then reads or writes data through Nango's proxy, SDKs, or REST API without ever touching raw credentials. Integration logic is written as TypeScript functions covering actions, scheduled data syncs, and webhook processing - all running on one runtime with retries, checkpointing, and per-connection logs built in. Syncs pull records incrementally on a schedule, one-way or two-way, which suits RAG pipelines, search indexing, and keeping local copies of external data current. Selected actions can also be exposed as tool schemas or through a built-in MCP server, so AI agents operate on user-connected accounts without ever handling provider credentials. Auth support spans OAuth 2.0, OAuth 1.0a, API keys, basic auth, and JWT, and observability - logs, metrics, failure detection, and a reconnect flow for expired credentials - is scoped per customer connection for easier support debugging. Works with any backend language. Self-hosting on RepoCloud keeps all customer credentials and synced data on infrastructure you control, which matters for data residency and compliance requirements.

With over 400 GitHub stars and growing, Pythia transforms a local LLM into a self-calibrating geopolitical oracle that watches the entire planet and predicts what happens next — no API keys, no cloud, no cost. The Osiris-based Three.js globe frontend streams 30+ concurrent live feeds including GDELT geopolitics, armed conflict events, USGS earthquakes, NWS storm polygons, EONET disasters, FIRMS wildfires, Polymarket crowd odds, cryptocurrency and commodity prices, UNHCR displacement data, WHO disease outbreaks, and WFP food insecurity indicators. The FastAPI backend fuses these heterogeneous sources into a unified world brief, pipes it through Ollama, and generates located predictions across 24-hour, weekly, monthly, and yearly horizons — each carrying a probability, reasoning, and geocoordinates that fly the globe to the event. A council of four specialist swarm agents — Strategist, Economist, Naturalist, and Skeptic — re-scores every forecast, surfacing consensus, dissent, and splits through Brier-weighted voting where historically accurate personas earn louder votes. The engine maintains a persistent ledger graded by an LLM judge against archived world state, producing running Brier scores and calibration charts. Signal rules fire browser notifications and webhooks when conditions match, a morning brief digest summarizes overnight changes, and the agent API at port 8088 delivers the complete world view in a single JSON call compressed to approximately 50 tokens for AI agent consumption. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Backed by 39,500+ GitHub stars and over 339 releases, MindsDB delivers the open-source federated query engine that gives AI agents a single SQL interface to read, join, and aggregate across 200+ live data sources without any ETL pipelines or data movement. The Connect-Unify-Respond architecture wires up Postgres, MySQL, MongoDB, Snowflake, BigQuery, ClickHouse, Redshift, Databricks, Salesforce, Shopify, Slack, S3, GCS, Azure Blob, and dozens more through self-contained Python handler packages merged in the open from the community. Knowledge Bases fuse structured tables with vectorized unstructured data from PDFs, emails, support tickets, and documents using hybrid search combining vector similarity with keyword matching for retrieval-augmented generation. Jobs execute queries on configurable schedules refreshing Knowledge Bases nightly or syncing derived tables hourly, while Triggers fire on data changes to automatically vectorize new rows into the appropriate store. The SQL-compatible query language extends standard SQL with constructs for creating models, defining agents, managing workflows, and searching unstructured data. The built-in web editor at port 47334 provides interactive SQL authoring, while the MySQL-compatible API at port 47335 and PostgreSQL API at port 47336 connect any database client directly. An MCP Server integration exposes MindsDB to AI assistants, and the Python SDK enables programmatic access from application code. Docker deployment runs with a single command exposing all APIs immediately. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Databasement puts scheduled backup and restore for nine database engines behind one polished web interface, deployed as a single Docker container on port 2226. The Laravel and Livewire backend uses native CLI tools for MySQL 5.6 through 9.x, PostgreSQL 12 through 18, MariaDB 10.x through 12.x, Microsoft SQL Server 2017 through Azure SQL, MongoDB 4.2 through 8.0, SQLite 3.x, Firebird 3.x through 5.x, Redis 2.8+, and Valkey 7.2+ with full restore support including cross-server recovery. SSH tunnel connectivity reaches databases behind firewalls via bastion servers with password or private key authentication, and remote agents handle isolated networks by connecting outbound over HTTPS without inbound ports. Scheduling supports arbitrary cron expressions with GFS grandfather-father-son retention alongside simple time-based cleanup. Storage spans local disk, S3-compatible services including AWS and MinIO, Azure Blob, Samba/SMB shares, and SFTP/FTP servers. Scheduled restores automate production-to-staging synchronization on recurring intervals. Failure notifications alert via Email, Slack, Discord, Telegram, Pushover, Gotify, and webhooks with detailed job logs. The REST API and built-in MCP server enable CI/CD pipeline integration and AI assistant access from Claude, Cursor, and VS Code Copilot. 1,700+ stars since November 2025. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Deployed at thousands of enterprises across financial services, healthcare, government, and telecommunications, Apache NiFi is the industry-standard platform for building automated data pipelines through a visual drag-and-drop browser interface that requires zero coding for common integration patterns. The flow-based programming model connects over 300 built-in processors covering relational databases via ExecuteSQL and PutDatabaseRecord, Apache Kafka with PublishKafka and ConsumeKafka, HTTP endpoints through InvokeHTTP and ListenHTTP, cloud storage for AWS S3, Azure Blob, and Google Cloud Storage, SFTP/FTP file transfers, and JSON, XML, CSV, and Avro transformations. Data provenance tracking logs every routing decision, transformation, and delivery for every FlowFile, creating a searchable lineage graph from source to destination with full content replay capability for auditing and debugging. Guaranteed delivery uses configurable backpressure thresholds, prioritized queuing with latency or throughput optimization, and automatic retry with exponential backoff, ensuring no data loss even during downstream outages. The zero-leader clustering architecture distributes processing across nodes with automatic load balancing, while site-to-site protocol enables secure data transfer between NiFi instances across network boundaries. Security includes OpenID Connect and SAML 2.0 single sign-on, role-based access control with fine-grained policies per component, and TLS encryption for all communication. Custom processors can be written in Java and packaged as NAR bundles, or implemented directly in Python through the native scripting framework. 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.

Backed by over 21,800 GitHub stars and more than 1,000 community contributors, Airbyte has become the standard open-source data movement platform, powering ELT pipelines for organizations ranging from startups to Fortune 500 enterprises. The platform provides 600+ pre-built connectors covering PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, Redshift, S3, Salesforce, HubSpot, Stripe, Shopify, Google Analytics, and hundreds of additional APIs, databases, and SaaS applications. The no-code Connector Builder lets practitioners create new source connectors in minutes by pointing at an API documentation URL, while the Python CDK enables custom connectors with full programmatic control for complex authentication flows and pagination strategies. Airbyte's AI agent capabilities include the MCP Gateway for Model Context Protocol integration, the open-source Agent SDK compatible with pydantic-ai, LangChain, OpenAI Agents, and FastMCP, and a Context Store that lets AI agents query business data across connected systems without runtime API stitching. Change Data Capture streams incremental updates from PostgreSQL, MySQL, and SQL Server using Debezium, while dbt integration handles post-load transformations within the pipeline. Self-hosted deployment uses Kubernetes via the abctl CLI tool, which bootstraps a local kind cluster with a single command, or Helm charts for production clusters with Keycloak OIDC authentication and secrets management through AWS Secrets Manager, Google Secrets Manager, or HashiCorp Vault. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. ELv2 licensed with MIT-licensed connectors.

With 1,450+ GitHub stars and a live demo on Vercel, this Bloomberg Terminal clone delivers a professional-grade financial dashboard without the $24,000 annual seat license. The Next.js 15 App Router with React 19 and TypeScript serves a single-page terminal interface optimized for constantly mutating financial data, with partial pre-rendering enabling sub-500ms initial loads even on data-heavy views. Upstash Redis caches AlphaVantage market data to minimize API calls while maintaining sub-second update latency through React Query polling with configurable refresh rates. OpenAI integration provides AI-powered market insights, sentiment analysis, and trend interpretation directly within the terminal interface. Multiple specialized views cover market data tables with bid/ask spreads, financial news aggregation with category filtering, market movers highlighting top gainers and losers, and volatility analysis with historical comparison charts. Jotai atoms manage local state for watchlists, layout preferences, and terminal sessions while React Query handles server-state synchronization with aggressive stale-while-revalidate caching. The shadcn/ui component library with Tailwind CSS delivers accessible, keyboard-navigable interface elements styled after Bloomberg's iconic dark terminal aesthetic. Security features include origin restriction, rate limiting via Redis, and Zod-based input validation on all API routes. Motion (formerly Framer Motion) animates transitions between views and data updates without layout shift. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Powering trading floors at firms processing millions of market data events per second and trusted by organizations including Airbus, Yahoo, and Copenhagen Atomics, QuestDB has earned over 17,000 GitHub stars as the time-series database that refuses to make you choose between ingestion speed and query latency. The column-oriented, time-partitioned storage engine processes millions of rows per second on ingest through write-ahead logging with instant durability, while SIMD-accelerated parallel execution returns analytical queries over billions of rows in milliseconds. Time-series SQL extensions add ASOF JOIN for point-in-time lookups across tables with misaligned timestamps, SAMPLE BY for downsampling at arbitrary time intervals, LATEST ON for last-value queries, and WINDOW JOIN for sliding window aggregations — all through standard SQL syntax accessible via the PostgreSQL wire protocol, REST API, or the QuestDB Wire Protocol (QWP) that streams Apache Arrow at 220 million rows per second. Multi-tier storage automatically moves data from the WAL through native columnar format to Parquet files on S3-compatible object storage, keeping hot data fast and cold data portable without manual tiering. The built-in web console provides an interactive SQL editor with syntax highlighting, autocomplete, and charting for quick data exploration. Views, materialized views, and n-dimensional arrays support real-time analytics, while native Parquet export enables direct integration with Python, DuckDB, and AI/ML frameworks. 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.

OpenSearch is a search and analytics platforms, powering full-text search, log analytics, observability, and AI-powered vector retrieval at petabyte scale. The distributed engine provides BM25 full-text search alongside k-NN vector search using NMSLIB, Faiss, and Lucene libraries, enabling semantic search, hybrid search combining keyword and vector scoring through normalization processors, neural sparse search, and retrieval-augmented generation workflows with built-in ML Commons for model hosting. OpenSearch Dashboards delivers interactive visualization with Discover for log exploration, custom dashboards, alerting, anomaly detection using Random Cut Forest algorithms, and Security Analytics with detection rules mapped to MITRE ATT&CK. Native Prometheus integration with full PromQL support unifies metrics alongside logs and traces in a single observability interface, while Data Prepper handles telemetry ingestion from OpenTelemetry collectors, Fluent Bit, and Logstash-compatible pipelines. SQL and Piped Processing Language queries with a visual PPL builder enable analysts to query data without learning the native DSL. Index State Management automates index lifecycle with rollover, shrink, and delete policies, while cross-cluster replication and searchable snapshots on S3-compatible storage provide disaster recovery. Scoped API keys, field-level security, document-level security, and audit logging deliver enterprise-grade access control. Docker Compose deploys multi-node clusters alongside the Kubernetes operator for orchestrated production environments. 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.

Every Redis client you already use connects to Kvrocks without a single code change, but instead of holding your entire dataset in RAM, data lives on SSD through RocksDB, turning terabytes of memory cost into pennies of disk. An Apache Software Foundation top-level project, Kvrocks supports strings, hashes, lists, sets, sorted sets, streams, bitmaps, JSON documents, TimeSeries data points, Bloom filters, Cuckoo filters, and HyperLogLog structures, all persisted to disk with in-memory caching for hot data access. Asynchronous replication using binlog similar to MySQL provides data durability across replicas, while Redis Sentinel integration enables automatic failover when master or replica nodes fail. The proxyless centralized cluster architecture distributes data across shards while remaining fully compatible with standard Redis cluster SDKs and clients. Token-based namespaces provide multi-tenant isolation with authentication per namespace, going beyond Redis SELECT's numbered database model. RocksDB's LSM-tree storage engine provides efficient compression through configurable compaction strategies, reducing disk footprint dramatically while maintaining sub-millisecond reads for cached keys. Migration tooling includes RedisShake for Redis-to-Kvrocks live migration and kvrocks2redis for reverse migration, enabling gradual adoption without service interruption. The kvrocks_exporter exposes Prometheus-compatible metrics for monitoring, and OpenTelemetry integration provides distributed tracing. 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.

Used by over 3,000 organizations including Dropbox, Khan Academy, Sony, Pepsi, Wikipedia, and Mistral, GrowthBook is the open-source experimentation platform that handles over 100 billion feature flag evaluations daily across its cloud and self-hosted deployments. Feature flags support advanced targeting with user attributes, gradual percentage rollouts, prerequisite dependencies, and scheduled launches, with both client and server SDKs evaluating flags locally from a cached payload for sub-millisecond performance with zero network calls per check. The warehouse-native architecture queries experiment results directly from 11 data sources including BigQuery, Snowflake, Databricks, Redshift, ClickHouse, Mixpanel, and PostgreSQL, eliminating duplicate data pipelines. The statistics engine implements CUPED variance reduction, sequential testing, Bayesian analysis, post-stratification, multi-armed bandits, and sample ratio mismatch checks with fully open-source methodology. Product analytics provides dashboards with funnels, retention cohorts, and event-based tracking shareable across teams. Twenty-four SDKs cover React, Next.js, Node.js, Python, Go, Ruby, PHP, Java/Kotlin, Swift, C#/.NET, Rust, Elixir, Angular, and edge runtimes including Cloudflare Workers, Fastly Compute, and Lambda@Edge. The MCP server and REST API enable AI coding agents to create features, start experiments, and manage stale flags programmatically. Self-hosting deploys via Docker Compose with MongoDB, or via Helm charts on Kubernetes, with the same codebase powering both open-source and managed cloud offerings. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Parseable replaces expensive Elasticsearch clusters and fragmented monitoring stacks with a single Rust binary that ingests, queries, and stores logs, metrics, and traces on commodity object storage at a fraction of the cost. The data lake architecture decouples stateless compute from S3-compatible storage, enabling independent scaling of ingestion throughput and query capacity while cutting storage costs by up to 90% compared to indexed alternatives. OpenTelemetry-native OTLP ingestion accepts telemetry from existing OTel collector pipelines, Prometheus Remote Write endpoints, Kafka consumers, eBPF probes, and popular logging agents including Fluentd, Fluent Bit, and Vector without proprietary format conversions. The SQL-first query interface enables cross-signal analysis across all telemetry types, while native PromQL support with 50+ functions and 12 aggregation operators provides Prometheus-compatible metrics querying that works directly with Grafana dashboards. Built-in features include customizable dashboards, real-time alerting with Webhook, Slack, and Alertmanager targets, role-based access control, OpenID single sign-on integration, LogIQ automatic unstructured-to-structured log transformation, smart caching for frequently accessed data, and retention policies for lifecycle management. AI-powered Keystone Q&A provides natural language to SQL conversion and dataset summarization. All data stored as standard Apache Parquet on object storage remains accessible to any Parquet-compatible engine (DuckDB, Spark, Trino), ensuring zero vendor lock-in. Deploys on AWS S3, Azure Blob, Google Cloud Storage, MinIO, Wasabi, and DigitalOcean Spaces. 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.

Backed by $50M+ from Benchmark, Y Combinator, and NVIDIA with 800+ contributors and 39,000+ GitHub stars, MindsHub Cowork is the unified AI workspace where open-source models handle entire projects — research, reporting, internal tools, scheduled operations — and return finished, shareable deliverables. The platform runs two interchangeable open-source agent harnesses, Anton and Hermes, swappable from a dropdown without losing context. A built-in Model Router pre-wires 25+ models spanning Anthropic Claude, OpenAI GPT, Google Gemini, DeepSeek, Qwen, Kimi, Grok, and MindsHub Air with automatic failover — no per-provider API keys required. A secure credentials vault connects BigQuery, PostgreSQL, Salesforce, HubSpot, Zendesk, Gong, Gmail, Google Drive, Notion, Linear, Stripe, and Slack, keeping secrets scoped per connection so agents never see raw keys. Agent output becomes publishable artifacts — documents, dashboards, apps, and code — each deployable to a live shareable URL. Cross-session persistent memory, a reusable skill library, and a background scheduler supporting hourly, daily, and weekly cadences enable autonomous recurring workflows. The architecture separates a React/Vite frontend (shipping as both Electron desktop app and web SPA) from a FastAPI backend with a versioned REST API at /api/v1 covering conversations, projects, artifacts, schedules, and connectors. Self-host via Docker Compose with nginx on port 3000 and the API on port 26866, or deploy on-prem, in a VPC, or air-gapped. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Backed by Y Combinator and powering scraping infrastructure across 195 countries, Anakin delivers a production-grade web scraping API purpose-built for AI agents and RAG pipelines that need clean, structured data from sites that actively block conventional scrapers. The single Go binary server handles JavaScript-heavy SPAs through its Camoufox anti-detect browser service with automatic fingerprint rotation, while the HTTP-first handler chain tries lightweight extraction before escalating to full browser rendering — keeping response times under 2 seconds for static pages. The built-in React 19 dashboard provides visual scraping with live results, job tracking with status filters, domain configuration management with handler chain CRUD, and proxy performance monitoring via Thompson Sampling scoring. Structured JSON extraction leverages Gemini AI to transform raw HTML into typed schemas without manual selector maintenance. SDKs span Python, TypeScript, Go, .NET, Java, and Ruby, while the MCP server exposes all 21 tools directly to Claude, Cursor, Windsurf, and any Model Context Protocol-compatible agent. The hosted platform extends the open-source engine with AI web search returning full page content with citations, multi-source agentic research across 20+ sources per query, Wire pre-built actions covering 944 websites with 5,201 structured endpoints, persistent browser sessions for authenticated scraping, and website change monitoring with scheduled alerts. Deploy via Docker Compose with three containers or run the binary directly with optional PostgreSQL persistence. 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.