Akaunting is an online accounting software for small businesses and freelancers. The double-entry accounting engine provides a full Chart of Accounts, journal entries, and balance sheet reporting, eliminating the manual errors inherent in single-entry systems. Unlimited invoice creation with customizable templates, automatic payment reminders, and client portal access lets businesses present professional documents and accept payments through PayPal, Stripe, and other gateway integrations. Expense tracking captures operational costs with category-based organization, receipt scanning, and vendor bill management with overdue payment alerts. Bank Feeds auto-syncs transactions from connected bank accounts and matches them against invoices and bills for streamlined reconciliation. The dashboard displays receivables, payables, cash flow summaries, profit and loss charts, expenses by category, and account balances at a glance with configurable date ranges. Quotes and estimates convert directly into invoices upon client approval, while recurring invoices and bills automate periodic billing without manual intervention. The modular architecture built on Laravel with the Akaunting Module package enables an App Store where developers publish extensions for payroll, inventory, projects, and CRM functionality. Multi-company support manages separate books from a single installation with per-company user roles. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSL licensed.

Doccano is a text annotation platforms for building machine learning training datasets. The web-based interface supports text classification for sentiment analysis and document categorization, sequence labeling for named entity recognition with overlapping entity support and relation extraction between labeled spans, and sequence-to-sequence annotation for text summarization and machine translation pairs. Collaborative annotation enables multiple annotators to work on the same project simultaneously with per-user progress tracking, annotation guidelines, example assignment to specific members, and filtering by assignee. Auto-labeling integrates with external machine learning model APIs through configurable request and response mapping templates, allowing pre-annotation that annotators can review and correct. Data import accepts plain text, JSONL, CoNLL, and Excel formats, while export produces JSONL and CoNLL datasets compatible with spaCy, Hugging Face Transformers, PaddleNLP, and other training frameworks through the doccano-transformer library. The Django backend with Django REST Framework exposes a complete RESTful API for programmatic project creation, dataset management, and annotation retrieval via the official doccano-client Python library. Celery handles background tasks including dataset import and export processing with Flower providing task monitoring. One-click deployment supports AWS CloudFormation and Heroku alongside Docker Compose for self-hosted environments. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT 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.

SpiderFoot is an open-source OSINT automation platform, replacing hours of manual reconnaissance with automated intelligence gathering across more than 200 data collection modules. The platform accepts ten distinct target types including IP addresses, domains, hostnames, network subnets, ASNs, email addresses, phone numbers, usernames, person names, and Bitcoin addresses, then feeds them through a publisher-subscriber event bus where each module's findings trigger downstream analysis automatically. SpiderFoot queries Shodan, VirusTotal, HaveIBeenPwned, AlienVault OTX, Censys, crt.sh, WHOIS databases, social media platforms, breach databases, and dozens more sources, with most modules requiring no API keys and many offering free tiers for those that do. The YAML-configurable correlation engine applies 37 pre-defined rules to identify relationships between discovered data points, flagging patterns like shared infrastructure, credential exposure, and domain reputation anomalies. Results export in CSV, JSON, and GEXF graph formats for integration with external analysis tools. TOR integration enables dark web searching, and SpiderFoot can invoke external tools including DNSTwist, Whatweb, Nmap, and CMSeeK for deeper technical assessment. The embedded web server delivers an intuitive dashboard for scan management, data visualization, and result exploration alongside a full command-line interface for scripted automation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

TencentDB Agent Memory provides a team-level memory hub that transforms AI agent conversations, documents, and codebases into four governed, shareable memory assets: Chat Memory for conversation history, Skills extracted from completed tasks, LLM-Wiki built from document ingestion, and Code-Graph generated from codebase analysis. The four-tier semantic pyramid structures long-term memory from L0 raw conversation capture through L1 episodic extraction and L2 scenario aggregation to L3 persona synthesis, enabling hierarchical drill-down via node and result references instead of flat vector recall. The Node.js Gateway sidecar handles capture, extraction, storage, recall, and pipeline scheduling through RESTful HTTP v2 endpoints on port 8420, while the Memory Proxy intercepts Anthropic-format API calls to inject team memory context into Claude Code, CodeBuddy, and other coding agents transparently. Local SQLite with the sqlite-vec extension provides the default storage backend with hybrid BM25 keyword plus vector embedding plus reciprocal rank fusion retrieval requiring zero external API dependencies. Teams manage ownership, versions, status, visibility, usage counts, and agent bindings through the Memory Hub dashboard with role-based access control separating System Admin and team-level Admin and Member permissions. Official TypeScript and Python SDKs provide programmatic access for custom framework integration beyond the built-in OpenClaw plugin and Hermes Agent adapter. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

OmniRoute is an AI gateway, aggregating 338 LLM providers including OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Kimi, MiniMax, and GLM into a single OpenAI-compatible endpoint at localhost:20128. The gateway catalogs over 1,200 models across 90 free-tier providers and 40 free-forever providers, automatically rotating through tier-1, tier-2, and tier-3 fallback chains when any provider exhausts its quota or returns errors. RTK plus Caveman stacked token compression reduces eligible context by 15 to 95 percent before forwarding requests, cutting API costs dramatically without degrading output quality. OmniRoute exposes its full routing engine through a built-in MCP server with 104 tools across 31 scopes over stdio, HTTP, and SSE transports, plus an A2A protocol server with six autonomous agent skills and JSON-RPC 2.0 streaming. The gateway integrates directly with Claude Code, Cursor, GitHub Copilot, Codex CLI, OpenCode, and Cline through standard base-URL configuration. Seventeen routing strategies include latency-optimized, cost-minimized, and auto-scoring modes that evaluate candidates on success rate, context fit, model fitness, quota state, and circuit-breaker health. The Next.js dashboard provides real-time provider status, usage analytics, combo chain configuration, and model catalog browsing via a responsive PWA. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

World Monitor replaces twenty or more browser tabs by fusing geopolitical, military, financial, and infrastructure signals onto a single interactive canvas built with TypeScript, Vite, globe.gl with Three.js for the 3D globe, and deck.gl with MapLibre GL for the flat map. World Monitor ingests live data from 530 upstream sources including ACLED and UCDP for conflict events, OpenSky Network for military and civilian aircraft, AISStream for vessel positions, NASA FIRMS for satellite fire detection, USGS for earthquakes, and FRED, IMF, BIS, and Finnhub for macroeconomic and market data. The Country Instability Index v8 computes real-time stress scores across 31 Tier-1 nations, while the finance radar tracks 29 stock exchanges, commodities, and cryptocurrency with a 7-signal market composite. Six specialized dashboard variants — World, Tech, Finance, Commodity, Energy, and Happy — deploy from a single codebase. AI summarization runs locally through Ollama and LM Studio integration or optionally via Groq and OpenRouter cloud providers, with Transformers.js powering browser-side inference. The platform supports 26 languages with native-language feeds and RTL layout, and provides MCP server integration for AI agent connectivity. 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.

RAGFlow has established itself as one of the most widely adopted open-source RAG engines available, powering production AI systems that demand traceable, hallucination-free answers from complex enterprise data. The platform processes PDF, DOCX, Excel, and PPT files through vision-based deep document understanding with layout analysis and OCR, extracting structured knowledge from tables, charts, and images that simpler parsers miss entirely. RAGFlow's hybrid retrieval pipeline combines vector search with BM25 keyword matching and multi-stage reranking across configurable document stores including Elasticsearch, InfiniFlow's Infinity engine, OpenSearch, and OceanBase. Developers connect any combination of LLM providers — OpenAI, DeepSeek, Anthropic Claude, Google Gemini, and locally-hosted models via Ollama — through a unified configuration layer. The visual agent workflow system enables multi-step reasoning chains with persistent memory, tool calling, and pre-built templates for common enterprise scenarios. RAGFlow synchronizes data from Confluence, S3, Notion, and Google Drive, and delivers answers through chat integrations with Feishu, Discord, Telegram, and Line. The Python SDK and RESTful API on port 9380 provide programmatic access to knowledge base management, document parsing, and conversational retrieval. The full stack deploys via Docker Compose with MySQL for metadata, Redis for task orchestration, and MinIO for object 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.

Stalwart replaces the traditional Postfix + Dovecot + SpamAssassin + calendar-server stack with one Rust binary that speaks every standard mail and collaboration protocol natively. JMAP, IMAP4rev2, POP3, SMTP, CalDAV, CardDAV, and WebDAV all run inside the same process — no glue scripts, no sidecar daemons, no version conflicts between components. The pluggable storage architecture lets operators choose RocksDB for single-node deployments, FoundationDB for distributed clusters, PostgreSQL, MySQL/MariaDB, or SQLite for the data store, S3/MinIO/Azure Blob for message blobs, and Elasticsearch or Meilisearch for full-text search, with Redis or the internal engine backing rate limiters and session state. Security features include S/MIME and OpenPGP encryption at rest, automated DKIM key generation with DNS publication, DANE and MTA-STS transport security, automatic ACME TLS provisioning, granular ACLs, rate limiting, and IP banning. The browser-based admin console manages accounts, domains, groups, mailing lists, SMTP queues, DMARC/TLS-RPT/ARF reports, and every configuration object without touching a config file, while the self-service portal at /account gives end users password reset and encryption key management. Multi-tenant support with per-tenant quotas enables hosting-platform deployments, and coordinator-less clustering via Zenoh or NATS scales horizontally by adding nodes. Deploy via Docker or the standalone binary. 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.

Built as a developer-first alternative to SendGrid, Mailgun, and Postmark, Posta delivers a complete self-hosted email infrastructure platform handling both outbound delivery and inbound reception through a single HTTP API with official SDKs for Go, PHP, and Java. The Go backend processes email through Redis and Asynq with automatic retries, priority queues, and async delivery while PostgreSQL stores templates, contacts, campaigns, and delivery analytics. Outbound features include versioned multi-language templates with variable substitution and stylesheet inlining, bulk campaigns with subscriber targeting and A/B testing per-variant metrics, scheduled timezone-aware delivery with draft/paused/cancelled lifecycle states, email address verification checking syntax, MX records, disposable domains, and role accounts, plus web view links with signed expiring URLs and one-click unsubscribe headers. The built-in SMTP receiver with TLS handles inbound email at your domains, parses messages and attachments, scores spam, and forwards structured payloads to your application via HMAC-verified webhooks with real-time SSE notification streams. The Vue-based dashboard manages templates, SMTP server pools, domains, contacts, API keys, campaigns, and email logs with dark and light mode support while admin-level platform metrics expose delivery rate trends, bounce rate graphs, and latency percentiles alongside Prometheus integration and daily health reports. Deploy via Docker with PostgreSQL and Redis. 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.

DumbAssets delivers a deliberately simple physical asset tracker that does exactly one thing well — keeping tabs on everything you own, from server racks down to individual HDDs, with hierarchical component nesting that mirrors real-world organization. The Node.js backend stores all data in JSON files within a single /data directory, making backups trivial with one folder copy while the PWA-enabled frontend provides responsive access from any device with light and dark theme persistence. Assets track model numbers, serial numbers, purchase dates, warranty expiration dates, and custom descriptions while sub-components nest infinitely — attach a Dell R730 to your server rack, then attach individual drives, CPUs, and NICs to that server with separate warranty and maintenance schedules for each. The Apprise notification engine fires configurable alerts for warranty expirations and maintenance events with direct links back to the specific asset in the web interface. Photo uploads attach visual records to any asset, receipt storage keeps purchase documentation alongside the item it covers, and a flexible tagging system enables cross-cutting organization beyond the hierarchy. PIN authentication with brute-force protection secures the interface, while search covers names, models, serials, and descriptions with sorting by warranty status, tags, components, or alphabetical order. Deploy with a single Docker command mapping port 3000 and one data volume. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL v3 licensed.

A complete WhatsApp Business Platform covering messaging, chatbot automation, and voice calling with IVR — a combination most self-hosted projects never attempt. The Fastglue/fasthttp backend processes WhatsApp Cloud API webhooks through PostgreSQL and Redis into a real-time WebSocket layer powering instant chat updates across a Vue 3 frontend built with shadcn-vue and TailwindCSS. Chatbot automation supports keyword triggers, multi-step conversation flows with branching logic, AI-powered responses from OpenAI, Anthropic, or Google models, knowledge base integration via vector stores, and seamless handoff to human agents when the bot gets stuck. The visual IVR builder uses a drag-and-drop node canvas where you wire greeting prompts, DTMF menu capture, HTTP callbacks to external APIs mid-call, business-hours routing by IANA timezone, agent team transfers with hold music, and reusable sub-flows. Every call recording streams encrypted to your S3-compatible bucket with retention you control. Multi-tenant architecture isolates organizations with separate data, roles, and API keys while a unified inbox presents both chat and call conversations to agents in a single dashboard. Meta-approved template management, bulk campaign messaging, analytics tracking, and a full REST API round out the platform. Deploy via Docker Compose with Postgres and Redis included. 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.

Agentic SOC Platform compresses hours of manual security analysis into seconds by deploying specialized AI agents that autonomously triage, investigate, and enrich security alerts. The Python/Django backend processes SIEM webhooks through Redis Streams into a modular pipeline where LangGraph-orchestrated agents extract IOCs, correlate signals, and generate Cases with severity, confidence, impact, priority, and structured verdicts. The built-in SIRP provides full case management with Alerts, Artifacts, Enrichments, Tickets, and a Knowledge base that accumulates institutional memory for both human analysts and LLM agents. Native Splunk and Elasticsearch/Kibana integrations deliver unified log search through a standardized interface so agents and analysts share identical security context. The playbook engine combines traditional SOAR automation with AI-powered investigation — launching threat hunting agents, knowledge extraction, threat intelligence enrichment, and CMDB lookups from a single orchestration layer. MCP Plugin support exposes ASP capabilities to Claude Code, Codex, and OpenCode, enabling external AI agents to operate cases, search logs, query threat intelligence, and write custom modules directly. Python Modules adapt new alert sources while Playbooks orchestrate LLM analysis and automated response actions, scaling the platform with your security scenarios. Deploy via Docker Compose with all data staying inside your network. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Lyftr delivers a self-hosted workout and nutrition tracker that runs on a small VPS — no subscriptions, no vendor lock-in, no "export is a Pro feature" paywalls. The Go backend with Gin framework provides JWT authentication and a REST API while storing everything in a single SQLite database file you can back up with one copy command. The exercise library ships with 800+ movements auto-seeded on first run, letting you build reusable workout programs with target sets, reps, and weights from day one. Active workout mode provides a guided set-by-set flow through your session while Gym Mode offers a full-screen card layout showing one exercise at a time with an integrated rest timer for focused training. The React frontend built with TypeScript and Tailwind delivers a mobile-first interface featuring a dashboard with weekly session KPIs, daily calorie and protein tracking, 12-week consistency heatmap, volume trend charts, and muscle balance visualization with sparklines. Nutrition tracking connects to Open Food Facts for food search with camera-based barcode scanning, logging calories and macros across customizable meal sections. Bodyweight logging with trend graphs supports both lbs and kg units across all data. An Android APK connects to your self-hosted instance for native mobile access. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

DispatchMail is an SuperHuman alternative and delivers a self-hosted AI email assistant that processes your Gmail inbox through configurable OpenAI prompts without sending data to third-party cloud services beyond the LLM API itself. The Flask backend connects to Gmail via IMAP, retrieves new messages according to your schedule, and routes them through customizable whitelist rules based on sender address, subject keywords, or natural language descriptions before AI processing begins. Two distinct prompt configurations control behavior — the Reading Prompt instructs how the AI should analyze and classify incoming messages, while the Draft Prompt defines how responses should be composed, letting you maintain consistent tone and policy across all automated replies. Whitelist filtering ensures the AI only processes messages you explicitly authorize, preventing unnecessary API costs and keeping sensitive emails out of the LLM pipeline entirely. The React web interface provides inbox management with message previews, AI-generated summaries, draft editing with human-in-the-loop approval before sending, and configuration panels for prompts and rules. Automatic labeling and archival organize processed messages into categories without manual intervention. The sender research feature uses LLM-powered deep analysis to build background profiles of email contacts. All email content, credentials, and processing results persist in a local SQLite database with zero cloud storage dependencies. 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.

Frappe Insights delivers a self-hosted business intelligence platform where non-technical users build complex analytical queries without writing SQL. The visual query builder uses Ibis under the hood to compose optimized SQL from drag-and-drop column selections, filters, aggregations, and group-by operations — translating point-and-click interactions into performant database queries across MySQL, PostgreSQL, DuckDB, and BigQuery. The join editor provides a graphical interface for defining multi-table relationships, letting analysts connect data across schemas without understanding foreign keys or join types. The chart builder renders interactive visualizations using Apache eCharts with support for bar, line, area, pie, scatter, funnel, and pivot table chart types — each configurable with axes, colors, legends, and formatting options. Dashboards combine multiple charts into shareable views with layout customization, auto-refresh intervals, and filter propagation across widgets. Data source management handles connection pooling across multiple databases simultaneously, enabling cross-database analysis in single queries. Server scripts extend query capabilities with custom Python transformations for complex business logic that visual tools cannot express. Built on the Frappe Framework's full-stack architecture, deployment uses Docker via the official easy-install script that provisions the complete stack including MariaDB, Redis, and Nginx. 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.

Archestra delivers the enterprise AI infrastructure layer that organizations need when managing multiple LLM providers, MCP servers, and AI agents across teams becomes unmanageable. The LLM gateway routes requests across Anthropic, OpenAI, Azure, Bedrock, and DeepSeek with virtual API keys, per-team cost limits, and dynamic model routing — giving every developer one token for Claude Code, Cursor, or Codex while finance tracks spend per department. The MCP gateway authenticates tool calls with OAuth 2.1 and On-Behalf-Of tokens so each tool executes as the calling user, not a shared service account, eliminating credential sprawl. The private MCP registry lets teams publish custom tool servers with approval flows promoting servers from dev through staging to production, each environment maintaining its own credentials and network egress policies. The Kubernetes operator manages MCP server lifecycle — deploying containers, scaling, health-checking, and routing gateway traffic to local servers automatically. The agent runtime supports scheduled triggers, email and webhook invocations, sub-agent delegation, reusable skills, and sandboxed code execution with a K8s-native filesystem. Deterministic guardrails including Dual-LLM verification and Lethal Trifecta protections prevent dangerous tool calls before execution. Built-in OpenTelemetry traces and Prometheus metrics provide full observability without additional tooling. Docker deployment exposes the Admin UI on port 3000 and API on port 9000 with a single command. 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.

Product Hunt's Maker of the Year: Animockup delivers an alternative to expensive motion graphics tools for creating animated product teaser videos entirely in the browser. The FabricJS canvas engine provides a fully interactive editing surface where you import product videos or screenshots, place them inside device mockups ranging from iPhones and MacBooks to browser windows and smartwatches, and customize everything from background gradients to overlay text positioning. Anime.js powers the animation system with configurable start and end transitions, easing curves, and duration controls that produce smooth entrance and exit effects without timeline editors or keyframe knowledge. The built-in FFMPEG.wasm pipeline handles all video processing client-side — no server-side rendering required — exporting finished teasers to WebM, MP4, or GIF at custom framerates and resolutions up to 4K. The crop and reposition tool lets you precisely fit product footage into any device screen regardless of aspect ratio differences. Twenty-plus device frames cover phones, tablets, laptops, desktops, watches, and generic browser windows for maximum versatility. Firebase authentication handles user sessions while the optional Paddle integration manages subscriptions — or remove both for a fully free deployment. Self-hosting requires only a static web server with optional PHP for the payment webhook endpoint. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.