Langflow turns LLM application development into a visual canvas where every node maps to a real LangChain primitive (chains, agents, retrievers, memory, vector stores, and tools) that teams wire together without writing integration boilerplate. The platform supports 15+ LLM provider components including OpenAI, Anthropic, Google Gemini, Mistral, Groq, Cohere, Azure OpenAI, HuggingFace, and Ollama for fully local inference, with LiteLLM proxying to over 100 additional providers through a single OpenAI-compatible endpoint. Vector database integrations cover Pinecone, Weaviate, Chroma, Qdrant, Astra DB, OpenSearch, FAISS, and Milvus, while built-in Knowledge Bases introduced in version 1.8 allow RAG pipelines without any external vector service. Multi-agent orchestration enables agent-to-agent communication with conversation management, persistent Memory Bases for cross-session context retrieval, and step-by-step reasoning visibility in the interactive Playground. Every flow automatically becomes a callable REST API endpoint via the /run route and an MCP server exposable to Claude Desktop, Cursor, or any MCP-compatible client. Every component is a real Python class that developers can customize, extend, or replace, while Extension Bundles package third-party integrations as independent pip packages for modular installation. Tool integrations include web search, Slack, Gmail, Google Drive, GitHub, and custom REST API calls. Docker deployment with PostgreSQL persistence runs on port 7860. Backed by 153,000+ stars and DataStax. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

"Less is more" is Kanboard's stated philosophy, and the free, MIT-licensed PHP application lives it: drag tasks between customizable columns, enforce work-in-progress limits per column, and slice boards horizontally with swimlanes for releases, teams, or priorities. Tasks carry what matters - colors, categories, subtasks with time estimates, Markdown descriptions, comments, attachments, internal links, and due dates - and move or duplicate across projects in one click. A concise query language filters any board dynamically (assignee, category, due date, description), and saved filters become custom views. The automatic-actions engine kills repetitive triage: on events like column moves or task creation, Kanboard reassigns, recolors, recategorizes, or closes tasks by rule. Around the board sit a calendar, per-project analytics (cumulative flow, lead and cycle time), Gantt view, and time tracking. Authentication spans LDAP/Active Directory, Google, GitHub, GitLab, and reverse-proxy headers; a JSON-RPC API, webhooks for creating tasks from external systems, and a CLI cover integration. A large community plugin catalog adds what core deliberately omits. With no external dependencies, it runs happily on anything from a Raspberry Pi up - translated into 30+ languages.

Point your routers at Akvorado and every NetFlow, IPFIX, and sFlow record crossing your network becomes a chart you can interrogate. The web console opens on a live summary of flows per second, exporter count, and traffic split by autonomous system, port, protocol, country, and address family. From there, the visualize page turns stored flows into stacked, line, grid, and heatmap time series, plus Sankey diagrams that show how traffic moves between networks, interfaces, and countries. Filters use a simple SQL-like syntax, so a question like which customers pulled traffic over a transit link last night becomes a query, not a support ticket to your future self. Because the outlet polls each exporter with SNMP or gNMI, flows arrive wearing real interface names, descriptions, and speeds instead of raw ifIndex numbers nobody can read. GeoIP lookups attach country and city to addresses, classification rules tag providers, peers, and connectivity types, and optional BMP sessions add AS paths and BGP communities to every flow. Retention is tiered: raw flows keep full detail for recent days while one-minute, five-minute, and hourly rollups stretch summaries across a year of history. A Grafana plugin is available too, so the same flow data can sit on the dashboards your team already watches. 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.

Dify turns the notoriously complex process of building production-grade AI applications into a visual drag-and-drop experience that teams can actually ship and maintain. With over 87,000 GitHub stars and backing from prominent investors, the platform has become the go-to open-source LLMOps solution for organizations that refuse to be locked into proprietary AI stacks. The visual workflow canvas lets developers wire together LLM calls, conditional logic, iteration loops, tool invocations, and human-in-the-loop checkpoints without writing boilerplate integration code. Its RAG pipeline engine handles the full document lifecycle from ingestion of PDFs, Word documents, and HTML through configurable chunking strategies, embedding with models from OpenAI or open-source alternatives, vector storage in Weaviate, Qdrant, Pinecone, or pgvector, and hybrid semantic-plus-keyword retrieval with citation tracking. Dify integrates with hundreds of model providers including OpenAI GPT-4o, Anthropic Claude, Google Gemini, Mistral, Llama, and any OpenAI-compatible endpoint like Ollama for fully local inference. The agent framework supports both ReAct and function-calling strategies with 50-plus built-in tools spanning Google Search, DALL-E, Stable Diffusion, WolframAlpha, and custom API definitions. Published apps can be deployed as hosted web interfaces, embedded chat widgets, REST API endpoints, or MCP-compatible tools. Enterprise features include role-based access control, SSO integration, and audit logging. A built-in marketplace enables teams to share and reuse model providers, tools, and workflow templates across projects. 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 with an open-source community edition.

Your cycle history is among the most personal data you will ever record, and Ovumcy keeps it on a server you control instead of a tracker's cloud. Log period days, flow intensity, symptoms, and free-form notes in seconds from any browser, and define your own custom symptoms when the preset list misses something you feel. The calendar view lays out your month with predicted period, ovulation, and fertile-window days marked, while statistics views surface cycle length trends and patterns across months. Predictions come from your own logged history, refined when temperature or cervical-mucus entries sharpen the estimate. Reminders reach you three ways: a dashboard banner before an expected period, a webhook ping to your own ntfy or Gotify server, or a private read-only calendar subscription that drops estimates into the calendar app you already use. Install it to your phone home screen and it opens like a native app, in English, Russian, Spanish, French, German, or Italian. Export the full history as CSV or JSON whenever you want a backup or a change of tools. Optional OIDC sign-in and TOTP two-factor authentication protect access, and the app makes no analytics or telemetry calls at all. 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.

House Planner holds the design of your house in one browser workspace, from true-scale floor plans drawn over a satellite photo of your plot to costed wiring, plumbing, sewer, and heating layouts. Draw walls at true scale in millimetres with thickness and materials, add doors, windows, garage gates, and furniture with true dimensions, and watch room areas and plot coverage total as you work. Flip into 3D for a massing model or the house finished with material textures and facade colours, with cut-down walls for reading the layout from above. Every utility network gets an engineering layer: route sewer lines to a septic tank with slopes and cleanouts, auto-route electrical circuits with breaker and voltage-drop checks, and run water piping from well and boiler to each fixture. Underfloor heating loops lay out room by room, split before 80 metres, and balance flow against heat loss. The bill of materials computes quantities from the plan and networks, producing a priced estimate you can print, tick off as you buy, or export to CSV. Every save is a numbered version with restorable snapshots, tabs cannot overwrite each other, and the JSON plan can be edited by an AI assistant through the same API. One password guards the project, phones get a read-only view for on-site checks, and the whole thing runs in one Docker container with no database. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

jshERP lets a small or midsize business, from a shop to a wholesaler, run purchasing, stock, sales, and money from one place instead of scattered spreadsheets. A purchase requisition becomes a purchase order, then a receipt that raises stock. A sales order becomes an outbound delivery that lowers it, or a purchase order when more must be bought in. Retail sales, returns, and serial-number scanning run through the same stock. Products sit in a category tree up to three levels deep, with barcodes, images, multiple attributes, customer-specific prices, and a base unit plus up to three secondary units. Transfers move goods between warehouses, assembly and disassembly merge and split products, and shelf locations record where each item sits. Other receipts and issues cover opening stock, stocktake corrections, and scrapped goods, while moving-average cost keeps valuation current. Finance logs income, expenses, receipts, payments, transfers, and prepayments against settlement accounts, and customer and supplier reconciliation reports export to Excel. Reports track stock levels, low-stock alerts, in-out statistics, and purchase and sales summaries, and the home page totals yesterday's and retail sales. Roles limit access down to single menus and buttons and can mask prices. A tenant model runs several businesses on one installation, and the interface switches among 73 languages. 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.

InvenTree is an inventory management system for electronics manufacturers, makerspaces, and small-to-medium businesses. The hierarchical part categorization system organizes components into unlimited nested categories, while stock items tracked across cascading locations and sub-locations provide instant visibility into current inventory levels, with optional serial number tracking for individual item traceability and acceptance testing. Intelligent BOM management calculates sub-part requirements, validates availability against current stock, supports multi-format BOM upload including KiCad integration, and generates detailed bills of materials with full database enrichment. Build orders consume BOM-allocated stock to produce assembled parts with step-by-step work order tracking, while purchase orders manage supplier relationships with pricing history, lead times, and automatic stock receipt processing. The modern React frontend built with Mantine, TanStack Query, and Zustand provides responsive data tables, tree-select navigation, a preview drawer, and a snippet editor. The extensible plugin system supports 19 mixin types including BarcodeMixin for scanner integration, LabelPrintingMixin for Zebra and Brother printers, AppMixin for custom database tables, and ScheduleMixin for periodic background tasks. Companion mobile apps on Android and iOS provide barcode scanning and stock operations in the warehouse. Docker Compose deploys with PostgreSQL, MySQL, or MariaDB backends behind any reverse proxy. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Deploy autonomous conversational AI agents and coordinate complex multi-agent workflows through EDDI, an open-source orchestration middleware that turns declarative configuration files into secure, production-grade enterprise assistants. Engineering teams connect AI models from twelve different commercial and local providers, using bilateral Model Context Protocol tools to let external desktop clients and coding assistants interact directly with running conversational services. Autonomous agents collaborate through structured group interaction patterns including round table discussions, peer reviews, Delphi consensus rounds, and devil's advocate debates to refine generated solutions before delivery. Declarative workflow extensions automate external REST API calls with dynamic request templating, extracting structured properties into persistent conversation memory and chaining multi-step service interactions without custom script glue. Built-in secret vaults safely manage sensitive API credentials, while the centralized web dashboard provides live conversation inspection, token quota enforcement, and comprehensive audit logging for regulatory compliance. 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.

Navigating organizational knowledge, visualizing concept graphs, and orchestrating cooperative AI agents converge inside Yuxi, an open-source multi-tenant workspace built for enterprise research and deep archive exploration. Users can upload diverse business documents including scanned PDFs, spreadsheets, and slide presentations to automatically extract structured text blocks, tables, and entity relationships for semantic querying. Knowledge teams can inspect interactive topological graph views to explore connections between company entities, cross-referencing subgraphs against original file sources. Practitioners can configure autonomous agents with specialized subagents, assigning dedicated roles for concurrent research, deep data synthesis, and code execution. Human reviewers can inspect agent thought chains in real time and evaluate interactive confirmation cards before agents execute irreversible external actions or modify shared workspace files. Operators can execute sandboxed tasks that produce downloadable reports, interactive data charts, and rendered HTML pages stored within isolated workspace file systems. Administrators can govern model endpoints, set granular permission boundaries across departments, and monitor token consumption through live system analytics. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Network traffic stops being a mystery once ntopng names the hosts, applications, and protocols behind every flow, live in your browser. To find the host saturating an uplink, open the dashboard, which ranks top talkers, countries, autonomous systems, and protocols beside historical charts. To see what a suspicious host is contacting, open its page for traffic, ports, DNS queries, TLS details, and visited sites, plus a map of its conversations. Deep packet inspection recognizes applications such as Facebook, YouTube, and BitTorrent, so charts name the app behind the bytes instead of relying on port numbers alone. The console reads packets from a SPAN port or TAP and NetFlow, sFlow, or IPFIX records from routers and switches through nProbe, so it can cover a single switch or many remote sites. Behavioural checks raise alerts for flows, hosts, and interfaces and send them to email, Discord, Telegram, or webhooks. Active monitoring probes remote hosts over ICMP and HTTP/S, and network discovery lists the devices on your local network. A REST API and Lua scripting pull statistics into your own tools and add custom checks. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Instead of juggling a chat window, a folder of reference images, and a notebook of half-remembered prompts, Infinite Canvas puts the whole image-making process on one zoomable board. Drop in text, image, video, and generation-settings nodes, then wire them together so every result stays connected to the prompt and references behind it. Add one or several OpenAI-compatible endpoints, choose default text, image, and video models, and set image count, aspect ratio, quality, and transparent backgrounds per node. Batch results arrive as linked nodes that remember their prompt, model, and dimensions, so any of them can be retried later with the same settings. A prompt library searches seven built-in sources plus your own JSON sources and inserts the winner straight onto the board. An asset shelf keeps reusable images, clips, and audio within reach. Projects can be duplicated, exported, and synced between devices over WebDAV. Want a helper? A local Canvas Agent lets Codex read the active board and edit it through MCP, with approvals and permissions shown in a side panel. Plugins add node types, inspectors, and toolbar actions. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.