BTCPay Server
BTCPay Server processes Bitcoin payments with zero transaction fees, zero monthly costs, and zero third-party custody of your funds. Payments settle directly from customer to your wallet through a full Bitcoin node that provides cryptographic proof of receipt without trusting any intermediary. Lightning Network integration through LND, Core Lightning, or Eclair enables sub-second confirmation at sub-cent fees, with Ride The Lightning providing web-based node management within BTCPay itself. The Point of Sale app creates storefronts with product catalogs, tipping, and QR code displays for physical retail, events, or web embeds. Hardware wallet support through BTCPay Vault connects Ledger, Trezor, and ColdCard for transaction signing, keeping private keys in cold storage while running a hot payment interface. Multi-tenant architecture allows multiple stores on one instance, each with isolated wallets, Lightning nodes, and user permissions. The Greenfield REST API exposes every function programmatically for headless operation, automated invoicing, and custom integrations. E-commerce connectors for WooCommerce, Shopify, Magento, and PrestaShop plug in alongside Zapier for workflow automation. Optional Tor hidden services expose the instance as an onion address for censorship resistance. The official Docker Compose stack handles Nginx reverse proxy, Let's Encrypt TLS, and optional Tor configuration on a dedicated RepoCloud VPS with guaranteed CPU, RAM, and SSD. MIT licensed.
Securo
Securo is a privacy-first personal finance platform that keeps all your financial data in your own PostgreSQL instance while connecting to 2,500+ banks across three continents for automated transaction sync. The FastAPI backend with React/TypeScript frontend deploys via Docker Compose on ports 3000 and 8000, with Redis-backed Celery workers handling background synchronization. Bank connections span approximately 2,500 European PSD2 institutions through Enable Banking across 29 countries, US and international banks via SimpleFIN's open protocol, and Brazilian banks through Pluggy, all refreshing automatically every four hours. Multi-account management tracks checking, savings, credit cards, and investments with running balances. The auto-categorization rules engine applies pattern-matching across merchants and amounts. Goal tracking monitors savings targets with progress visualization, asset management handles stocks and custom instruments with configurable valuation growth rules, and reports generate Net Worth and Income vs Expenses charts with category sparklines. Optional AI Agents provide LLM chat with tool-use over your financial data through MCP, supporting OpenAI, Anthropic, Ollama, and compatible providers with per-agent RAG knowledge bases accessible via a global command palette. Multi-user support includes OIDC login, passkey authentication, TOTP two-factor, privacy mode, and multi-currency FX conversion via Open Exchange Rates. 1,500+ stars since March 2026. 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.
RisingWave
With over 9,100 GitHub stars and production deployments powering real-time analytics at companies like SHOPLINE where it reduced API latency by 76.7%, RisingWave is the PostgreSQL-compatible streaming database that collapses the traditional Debezium-plus-Kafka-plus-Flink-plus-serving-database stack into a single Rust-powered system. The platform continuously ingests data from PostgreSQL and MySQL via native CDC connectors that eliminate Debezium middleware, consumes Kafka, Redpanda, Pulsar, and Kinesis topics, accepts webhook events from SaaS applications, and batch-loads historical data from S3 and data warehouses. Standard SQL defines sources, materialized views, and sinks — no new DSL, no Java, and no custom API — while the PostgreSQL wire protocol means psql, DBeaver, pgAdmin, Grafana, Metabase, Superset, Tableau, and every PostgreSQL client library works without modification. Materialized views are incrementally maintained as events arrive, delivering point lookups in single-digit milliseconds without recomputing aggregates from scratch. For long-term retention, RisingWave writes to Apache Iceberg tables with a hosted REST catalog and automated table maintenance including compaction, small-file optimization, and snapshot cleanup, with data queryable by Spark, Trino, DuckDB, and DataFusion. The disaggregated compute-storage architecture uses S3-based state management for elastic scaling, instant failure recovery measured in seconds rather than the minutes-to-hours typical of RocksDB-based systems, and cost-efficient storage tiering. An MCP server enables AI agents to query and operate RisingWave directly. 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.
PocketBase
An entire backend in a single Go executable: PocketBase embeds SQLite with realtime subscriptions, authentication and user management, file storage, and an admin dashboard, all behind a REST-ish API. SQLite runs in WAL mode, which outperforms client-server databases for the read-heavy workloads typical of small and mid-sized apps. Authentication supports email/password, one-time passwords, and 15+ OAuth2 providers including Google, Apple, and GitHub, with stateless tokens. Clients subscribe to record changes over server-sent events, and official JavaScript and Dart SDKs cover web, mobile, and Flutter frontends. Collections, rules, and API access permissions are managed visually in the admin UI. When you need custom logic, extend it with JavaScript hooks running in the embedded JS VM of the prebuilt binary, or import PocketBase as a Go library and compile custom business logic into your own single-file backend. File storage attaches uploads to records with thumbnail generation for images and optional S3-compatible external storage. All state lives in one pb_data directory, so backup is a directory copy and upgrade is replacing a binary - one of the lowest-maintenance backends you can run. The contrast with Firebase is the point: where usage-based pricing scales with reads, writes, and bandwidth, PocketBase runs the entire backend at flat hosting cost, and the data is a plain SQLite file you can copy anywhere. MIT-licensed.
Dagster
With nearly 16,000 GitHub stars, 5.7 million monthly PyPI downloads, and 400+ contributors, Dagster is the most widely adopted asset-centric data orchestration platform — replacing task-oriented schedulers like Apache Airflow with a declarative model where every pipeline is defined as Python functions producing data assets such as tables, datasets, machine learning models, and reports. The built-in asset graph provides automatic lineage tracking across your entire data platform, showing exactly how data flows from ingestion through transformation to downstream consumption in a single unified view. Declarative Automation goes beyond cron scheduling with event-driven conditions that intelligently trigger materializations based on upstream freshness, data quality signals, and dependency state. The integrated data catalog auto-generates documentation from asset metadata, ensuring it never drifts out of sync with production. Native first-class integrations connect dbt, Snowflake, BigQuery, Databricks, Fivetran, Airbyte, Spark, Great Expectations, Tableau, Power BI, AWS, GCP, and Azure without custom glue code. The web UI visualizes asset graphs, run history, schedules, sensors, and partitioned materializations with built-in alerting via Slack and PagerDuty. Dagster Pipes enables executing arbitrary code in external environments including Spark clusters, Kubernetes Jobs, and cloud functions. Deploy via Docker Compose on a single VM with separate containers for the webserver, daemon, and code locations, or use official Helm charts for production Kubernetes with K8sRunLauncher scaling each run as an independent Job. 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.
Prefect
With 23,600 GitHub stars, 13 million monthly PyPI downloads, and 425+ contributors automating over 200 million data tasks monthly for Fortune 50 companies like Progressive Insurance and disruptors like Cash App, Prefect is the most widely deployed open-source workflow orchestration framework for Python — turning any script into a resilient production pipeline with a single @flow decorator while eliminating rigid DAG structures entirely. The durable execution engine persists task results and automatically resumes from failures without replaying expensive upstream work, guaranteeing exactly-once execution for any Python function. Event-driven automation triggers workflows from webhooks, cloud events, or state changes through a real-time event bus that detects what happens or fails to happen across your entire data platform. Work pools decouple workflow code from infrastructure, enabling seamless switching between Docker, Kubernetes, AWS ECS, Azure Container Instances, GCP Cloud Run, and serverless environments without modifying pipeline logic. Native Ray and Dask task runners extend execution across clusters for compute-intensive workloads. The self-hosted server provides a monitoring dashboard with flow run timelines, task state visualization, scheduling, and automation configuration. The third-generation engine reduces overhead by over 90 percent compared to Prefect 2, supporting batch, event-driven, interactive, and background task workflows. Deploy via Docker Compose with PostgreSQL, Redis, server, background services, and worker containers, or use official Helm charts for production Kubernetes. 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.
LiteLLM
Backed by 56,000+ GitHub stars and over 240 million Docker pulls, LiteLLM delivers the open-source AI gateway trusted by Netflix, Lemonade, Rocket Money, and thousands of engineering teams to route every LLM request through one unified API. The Rust-core gateway adds sub-millisecond overhead per request with 8ms P95 latency at 1,000 RPS, 15x throughput improvement and 11x lower memory footprint compared to Python-only proxies. A single OpenAI-compatible endpoint connects to 100+ providers and 1,800+ models spanning OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Vertex AI, Hugging Face, vLLM, Nvidia NIM, Ollama, and Mistral with day-zero support for new model releases. The Auto Router V2 classifies request complexity across four tiers using rule-based scoring, semantic keyword matching, and adaptive Thompson sampling to route each request to the most cost-effective model without API calls or training data. Virtual API keys enable multi-tenant governance with per-team, per-user, and per-project cost tracking, budget caps with automatic fallback rerouting, and role-based access control. Built-in guardrails provide PII masking, prompt injection detection, and model-graded evaluation before requests reach providers. The Agent Gateway extends routing from model calls to agent workflows with MCP server integration. Observability integrates with Langfuse, Arize Phoenix, OpenTelemetry, and MLflow for complete request tracing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Letta
With over 24,000 GitHub stars and origins in the MemGPT research paper on virtual context management, Letta has evolved into the leading open-source platform for building AI agents that maintain persistent memory, identity, and continuity across sessions rather than operating as stateless prompt-response loops. The core architecture uses memory blocks — structured, labeled text chunks that reside permanently in the agent's context window — allowing agents to programmatically rewrite their own memory, learn new skills, and improve through a sleeptime dreaming process that runs reflection and memory organization during idle periods. The self-hosted App Server deploys via Docker and exposes a WebSocket API on port 4500, letting the TypeScript Agent SDK connect from any application using local, remote, or cloud backends. Agents support git-versioned memory through MemFS where every memory change is tracked and auditable, multi-agent communication via subagents, scheduled tasks, and integration with messaging platforms including Slack, Discord, Telegram, WhatsApp, and Signal. The platform is fully model-agnostic, routing to OpenAI, Anthropic, xAI, or self-hosted open-weight models through Ollama depending on cost, performance, and data residency requirements. The Agent File format serializes complete agent state — memory, skills, prompts, and conversation history — into portable snapshots. Desktop applications for macOS, Windows, and Linux provide native interfaces alongside the terminal CLI and web chat at chat.letta.com. 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.
Wazuh
Protecting over 10,000 organizations worldwide with 16,000+ GitHub stars, Wazuh delivers enterprise-grade security operations through a fully open-source platform with zero feature gating. The unified XDR and SIEM solution deploys lightweight agents across Linux, Windows, macOS, Solaris, AIX, and HP-UX endpoints that stream security telemetry to a centralized cluster built on OpenSearch for indexing and the Wazuh Dashboard for visualization and management. Core capabilities include real-time file integrity monitoring with inotify-based detection and who-data attribution, automated vulnerability assessment that correlates software inventories against continuously updated CVE databases, Security Configuration Assessment against CIS benchmarks, rootkit detection, and log data analysis with a rules engine supporting over 3,000 built-in detection rules mapped to MITRE ATT&CK tactics and techniques. Wazuh monitors cloud infrastructure at the API level with native modules for AWS, Azure, and Google Cloud, detects container anomalies through Docker engine integration, and ingests third-party telemetry via syslog and REST APIs from sources like VirusTotal, TheHive, YARA, Suricata, and PagerDuty. Pre-built compliance dashboards and reports cover PCI DSS, HIPAA, NIST 800-53, GDPR, and TSC frameworks. Active response capabilities automatically trigger countermeasures including firewall rule updates, account lockouts, and endpoint isolation when threats are detected. The platform scales horizontally with multi-node clustering for high availability. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-2.0 licensed.
Maxun
With over 16,800 GitHub stars and growing rapidly, Maxun has become the go-to open-source platform for teams who need structured web data without writing scrapers. The TypeScript-based platform provides a no-code visual recorder that captures point-and-click interactions in real-time browser sync, automatically generating reusable extraction robots that handle pagination, infinite scrolling, and dynamic content. LLM-powered extraction accepts natural language prompts like "Extract 10 companies from the Y Combinator website" without requiring a URL — Maxun identifies the source and performs the extraction autonomously. The platform handles authentication-protected pages, adapts automatically to website layout changes through self-healing selectors, and exports directly to Google Sheets, Airtable, or any destination via webhooks. Robots run on configurable schedules with cron-based timing, turning any website into a perpetually fresh RESTful API endpoint. The crawl engine discovers and processes linked pages across entire domains with configurable depth and URL filtering, while the search capability runs automated queries across multiple engines. Official Node.js and Python SDKs provide programmatic control over robot creation, execution, and data retrieval, with MCP integration enabling direct connection to AI tools like Claude. The n8n community node enables workflow automation without custom code. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPLv3 licensed.
ezBookkeeping
Managing household finances and personal investments becomes completely private with ezBookkeeping, a self-hosted accounting platform that combines multi-currency ledger tracking, automated bank imports, and AI-assisted receipt analysis into a responsive financial dashboard. Users can record daily income, expenses, and asset transfers using hierarchical two-level accounts and customizable tags, attaching photographic receipts and geographic location coordinates to individual entries. The automated data ingestion engine processes bank statements across standardized CSV, OFX, QIF, CAMT, and MT940 files, applying user-defined column mappings and custom conversion scripts to eliminate manual bookkeeping. Financial planners can schedule recurring bills, configure monthly category spending limits, and track asset distribution with interactive charts, trend graphs, and activity heatmaps in the Insight Explorer. Integrated artificial intelligence tools scan uploaded invoice photos to extract line items automatically while a native Model Context Protocol server lets external desktop assistants query balances and audit budgets safely. Security features include time-based two-factor authentication, single sign-on via standard identity providers, and biometric passkey screen locks that secure private monetary ledgers on shared computers. Account owners can export full audit histories to portable spreadsheets, manage multi-currency exchange rate tables, and access clean web interfaces on both desktop monitors and mobile devices. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
SigNoz
With over 31,000 GitHub stars and native OpenTelemetry support that eliminates vendor lock-in from day one, SigNoz delivers full-stack observability covering metrics, traces, and logs in a single pane of glass without the per-host pricing model of commercial APM platforms. The platform ingests telemetry data through the OpenTelemetry Collector, supporting auto-instrumentation for Java, Python, Node.js, Go, Ruby, PHP, and .NET applications with zero code changes required for basic tracing. ClickHouse serves as the columnar storage backend, providing fast aggregation queries over billions of spans and log lines with configurable retention policies and tiered storage. The distributed tracing view renders flame graphs and Gantt charts showing request flow across microservices with latency breakdowns, error rates, and p99 percentile calculations. Custom dashboards support PromQL and ClickHouse SQL queries with time-series charts, bar graphs, tables, and value widgets. The log management pipeline supports structured and unstructured logs with full-text search, log pipelines for parsing and enrichment, and correlation with traces via trace IDs. Alert rules can be configured on any metric or log query with notification channels including Slack, PagerDuty, OpsGenie, webhooks, and email. The exceptions monitoring module automatically groups and tracks application errors with stack traces, occurrence counts, and first-seen timestamps. Service maps visualize inter-service dependencies with real-time latency and error rate overlays. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed with an enterprise edition available.
Omni
Omni is an open-source workplace AI agent and enterprise search platform that unites your company's scattered tools into a single context-aware workspace where team members can find answers and automate cross-application workflows. Employees can query connected knowledge sources including Google Drive, Gmail, Slack, Jira, GitHub, Confluence, and HubSpot to locate project specifications, customer records, and operational documents without jumping across tabs. The integrated AI assistant answers complex multi-step inquiries, summarizes lengthy email threads, and cites exact source passages so workers can verify factual accuracy before making business decisions. Granular permission inheritance mirrors existing access controls across every connected service, guaranteeing that sensitive personnel files, financial statements, and confidential repositories remain hidden from unauthorized staff. Engineers can construct bespoke data connectors and define automated agent skills through the extensible Python and TypeScript software development kits, triggering multi-service actions directly from interactive chat dialogues. Administrators can monitor background synchronization jobs, inspect audit trails, manage single sign-on access, and configure custom extraction pipelines using centralized operational 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.
Tolgee
Hold Alt/Option, click any string in your running app, and edit the translation in place: Tolgee is an open-source localization platform built the way developers wish translation worked - changes save straight to the platform with no hunting through JSON or PO files. In-context editing works even in production via the Tolgee Tools browser extension, which injects credentials without touching source code, so a client or colleague with zero coding skills can translate the product inside the product. The SDKs (React, Angular, Vue, Svelte, plus iOS and Android) extract context from each UI element and capture one-click screenshots, giving both human translators and machines the surrounding meaning that raw string files lose. Autonomous translation uses that context: new keys are instantly filled from translation memory or machine translation (DeepL, Google Translate, AWS Translate), with optional human review afterward - shipping no longer waits on a translation agency. A CLI handles import/export, a REST API covers automation, a Figma plugin bridges design, and an MCP server lets AI coding assistants search keys, create translations, and trigger machine translation without leaving the editor. Self-hosting this Crowdin/Phrase/Lokalise alternative keeps every string, screenshot, and API key on your infrastructure.
libSQL
libSQL bridges the gap between SQLite's legendary simplicity and the server-accessible database model developers expect from PostgreSQL and MySQL, adding network access, replication, and vector search while maintaining full file format and API compatibility. The sqld (SQL daemon) component transforms SQLite into a network-accessible database server accepting queries via HTTP with JSON payloads, WebSocket connections, and a Hrana protocol optimized for low-latency edge access. Client libraries for TypeScript, JavaScript, Rust, Go, and Python connect to sqld identically to any traditional client-server database, while the LD_PRELOAD compatibility layer enables switching existing SQLite applications from local to remote mode without code changes. Embedded replicas synchronize a local SQLite copy inside your application process with the primary server, delivering sub-millisecond read latency while maintaining consistency through streaming replication. Bottomless replication continuously backs up database state to S3-compatible object storage with generation-based snapshots and WAL page shipping, providing point-in-time recovery without manual backup scheduling. Native vector search enables semantic similarity queries directly within SQL using cosine distance functions, eliminating the need for external vector database infrastructure. Read replica support distributes query load across multiple sqld instances, and integration with mvSQLite adds multi-version concurrency for high-availability deployments. Created by Turso with 17,100+ stars and active production deployment. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Kokoro FastAPI
Kokoro-FastAPI turns text into natural-sounding speech across eight languages by serving the 82-million-parameter Kokoro-82M model through an OpenAI-compatible REST API, so any existing OpenAI SDK client can generate audio by just changing the base URL. With over 5,300 GitHub stars since December 2024, the fully Dockerized FastAPI server covers American English, British English, Spanish, French, Hindi, Italian, Japanese, Brazilian Portuguese, and Mandarin Chinese with language-specific phoneme processing. Inline voice mixing blends multiple profiles using weighted ratios like af_bella(2)+af_heart(1), automatically normalizing weights and caching combined voicepacks as PyTorch tensor files for reuse. Audio streams in real time over HTTP with configurable chunk sizes, or generates complete files in MP3, WAV, OPUS, FLAC, AAC, or PCM formats with speed control from 0.25x to 4.0x. Per-word timestamped captions with speaker-tagged voice labels enable subtitle generation for podcasts, audiobooks, and accessibility workflows. Pre-built Docker images support NVIDIA GPU acceleration via CUDA, experimental AMD GPU inference via ROCm, and CPU-only deployment on linux/amd64 and linux/arm64 architectures, with Apple Silicon MPS support available through direct UV execution. The integrated web interface at port 8880 provides browser-based speech generation, while the Swagger UI at /docs exposes the full API reference. Debug endpoints report system statistics for monitoring inference load. 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.
Shiori
Most web links eventually break - the sobering statistic Shiori, a bookmark manager with archiving by default, is built on. Its answer is archiving by default - where possible, every bookmark you save gets a clean, readable offline copy parsed from the page, ads and navigation stripped, so the article survives even after the original URL dies. Conceived as a simple Pocket clone and written in Go, the entire server is a single binary using roughly 25-30 MB of RAM with SQLite out of the box (Postgres and MySQL supported) - genuinely the lightest archiving bookmark manager you can run. Saving is one click through the Firefox and Chrome extensions, and finding things again is where Shiori quietly outperforms its size: full-text search covers the archived page content, not just titles and tags, so you can find that article by a phrase you remember from paragraph six. Reader mode presents the cleaned text; archive mode shows the preserved page. It's dual-interface by design - a pretty web UI (installable as a PWA on mobile) and a complete CLI for terminal devotees - plus a REST API for scripting. Pocket imports work natively, and Netscape HTML handles browser imports and exports. Multi-user support included. MIT-licensed.
PiGallery2
PiGallery2 turns any mounted folder of images and home videos into a high-speed web gallery without modifying your raw files or forcing migration into a database silo. The server scans directories in read-only mode, keeping folder structures intact while generating responsive previews with hardware-accelerated Sharp processing. Users can inspect detailed camera EXIF metadata, toggle custom full-screen lightboxes with swipe gesture navigation, and stream high-definition MP4 or WebM video clips. Embedded GPS coordinates automatically pin photos onto interactive OpenStreetMap or Mapbox views, allowing travel albums to display alongside synchronized GPX track routes. Powerful boolean search expressions filter across dates, keywords, camera models, and Adobe XMP face regions without requiring expensive background machine learning models. Built-in link sharing creates password-protected access links with custom expiration dates for friends and family. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.