A clean alternative to n8n and Zapier that puts AI-native workflows front and center, Fynt is the MIT-licensed workflow automation platform where you drag nodes onto a React Flow canvas, wire them together with typed connections, and let a distributed BullMQ engine execute them — with every step streamed live to your browser over WebSockets so you never wonder what happened inside a run. The node library spans triggers (manual, webhook, cron scheduling), AI providers (OpenAI, Anthropic, and Gemini with structured output parsing), service integrations (GitHub webhooks, Notion databases, Slack channels, Discord bots, arbitrary HTTP endpoints), logic gates (conditional branching, filtering, data transformation), and utility nodes (delay, logging, payload mapping). The execution architecture separates concerns across three services: a Next.js 16 web application serving the React 19 workflow builder and tRPC API, a BullMQ worker processing jobs with node-level retries and checkpointing for crash-safe execution, and a dedicated WebSocket relay server broadcasting real-time run events via Redis Pub/Sub. All stored credentials are encrypted at rest using AES-256-GCM with per-credential initialization vectors. The full-stack deploys as a single Docker Compose stack (web, worker, realtime, PostgreSQL, Redis) or individually via pnpm workspaces in a Turborepo monorepo. Authentication is handled through better-auth with configurable OAuth providers. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

RankMe puts the whole SEO workbench on your own server: audits, rankings, keywords, backlinks, and AI visibility without a per-seat subscription deciding what you may check. Crawl a site and it runs 26 automated checks, returning a plain-language report sorted into Fix now, Watch, and Passed, where each finding names the page, explains in one sentence why it matters, and tells you how to fix it, with an optional AI summary on top. Rank tracking follows Google organic positions over time plus Bing, YouTube, and Amazon, watches SERP features, fires confirmed-drop alerts, and maps local rankings on a geogrid. Keyword research covers volume, difficulty, trends, and SERP-overlap clustering, while Search Console data feeds cannibalization reports and connects to GA4, PageSpeed Insights, and CrUX for performance context. Backlink profiles, link-gap analysis, toxic-link review, and competitor discovery show who links to rivals and which content earns it. A dedicated AI visibility module tracks prompts in AI Overviews and LLM answers and measures share of voice in a weekly digest. Agencies get PDF and CSV exports, scheduled white-label client reports, read-only share links, a REST API, and an MCP server, with alerts delivered by email, Slack, or signed webhook across seven interface languages. 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.

SourceWeft is an AI workstation you host yourself, where agents, your documents, and your model keys work in one place instead of scattering across chat tabs you do not control. Describe a job and a lead agent breaks it down, handing research, exploration, and execution to focused sub-agents that share the same working context and files. Agents draw on a skill library covering presentations, HTML pages, images, meeting summaries, and study guides, and you can add your own skills so good workflows become repeatable. MCP servers, web search, and web extraction connect agents to outside tools, while approved commands run inside a sandboxed environment that cannot touch the rest of your server. Feed it PDFs, web pages, notes, YouTube videos, Notion, Drive, Gmail, or Slack, then follow citations from any answer back to the source material it came from. Bring your own keys for the chat and indexing models you prefer, organize the team into workspaces with roles and access controls, and pick up any conversation from the web app or desktop clients. 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.

Catalog, rate, and analyze every film you watch with Movary, a self-hosted movie tracking hub and personal cinema diary that replaces Letterboxd and Trakt. Each time a movie finishes playing on Plex, Jellyfin, Emby, or Kodi, automated webhook scrobblers record the viewing session and star rating directly into your timeline without manual logging. You can also bring over years of existing watch history by importing exports from Letterboxd, Trakt, or Netflix, and automatically cross-post newly logged reviews and ratings to Mastodon or feed Watchlist additions straight into Radarr. Customizing your personal dashboard lets you rearrange analytical widgets that break down your viewing habits by most-watched actors, directors, genres, original languages, release decades, and custom watch locations like local cinemas or home theaters. Movie metadata, posters, and ratings pulled from TMDB and IMDb are cached locally on your server, while built-in background job schedules keep artwork and cast details refreshed automatically. Multi-user account controls, TOTP two-factor authentication, granular profile visibility settings, and personal Bearer API tokens make it easy to run a private household log or a shared film club server. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Mbin is a federated community platform that mixes magazine-based link aggregation and threaded discussion with short-form microblogging, so one self-hosted instance works as both a Reddit-style forum and a Mastodon-style social feed. Members create magazines around topics, then post links, articles, photos, and videos into them, vote submissions up or down, boost the best ones to their followers, and argue the details in threaded comment trees. The microblog stream sits beside the magazines for quick status posts, and a combined view blends both content types into a single feed you can sort by hot, new, active, or most commented. Because the whole platform speaks ActivityPub, your magazines and users federate with Mastodon, Lemmy, Pixelfed, Pleroma, and PeerTube, and follows, replies, and votes travel across instance boundaries in both directions. Magazine owners appoint moderators, pin threads, and handle reports, while instance admins control registration, federation allow and block lists, and which remote servers the instance talks to. Readers shape their own view with subscriptions to magazines, people, and tags, plus personal blocks for users, magazines, and entire instances. A documented REST API with OAuth 2.0 access lets mobile clients, bots, and integrations read and publish content, and Service-type accounts are supported for automated posters. 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.

Tonkatsu Box is a collection manager for games, movies, TV shows, anime, visual novels, manga, books, music, and podcasts that tracks progress, ratings, and shelves for all of them in one place. One search field queries fifteen catalogues, from IGDB, TMDB, and TVmaze to AniList, MangaDex, OpenLibrary, ComicVine, and Podcast Index, and a result can land in several collections at once. Collections organize by platform, genre, or anything else, with grid, list, table, and board views, drag and drop ordering, global tags, and bulk actions across a selection. Progress speaks each medium's grammar: episodes for series, pages for books, chapters for manga, listened track checklists for albums, plus statuses, ratings, dates, and replays. The episode tracker unfolds seasons with posters, stills, air dates, and synopses, and marks one episode, a whole season, or the next unwatched one in a tap. Statistics turn the library into numbers with per type breakdowns, a month by month ribbon, platforms, formats, tags, best against worst, and a shareable summary card. Visual boards arrange posters, notes, and connections on a free canvas, and tier lists and mood grids rank and lay out items for export as PNG. Importers read Steam, Trakt, Simkl, MyAnimeList, AniList, Hardcover, and RetroAchievements libraries, plus JSON and CSV, and collections travel as offline .xcollx packages. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

When an alert fires at 3 a.m., the live chart, the runbook, and the fix are already on one page of Oxynote, a self-hosted technical wiki. The chart is a Live Metrics block that runs its own Prometheus or SQL query and draws a time series, bar chart, or gauge. Several such blocks side by side make a dashboard inside the page. Around it, the editor works like Notion, with checklists, callouts, titled code blocks, Mermaid diagrams, Figma embeds, images, and files. Internal APIs get Stripe-style reference pages with the endpoint, a curl example, and a sample response beside the explanation. Mark a page reviewable and every edit lands in a draft. A block-aware diff shows renamed endpoints, fields, and reworded sentences in one red and green view until a reviewer approves. Freshness hooks watch GitHub files, container images, web pages, or dates, and remind maintainers when something a page depends on changes. Teammates edit together live and see who holds which block. Comments attach to a word, a diagram line, or a whole chart, with replies and an inbox for mentions. The Rubber Duck assistant edits pages and runs block queries with Anthropic, OpenAI, Google, OpenRouter, or a local Ollama model, and MCP lets Claude Code and Codex read and write the docs. 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.

Garage UI is the web dashboard that Garage object storage never shipped, turning an admin API that speaks JSON over HTTP into screens your whole team can use. Create and configure buckets, browse objects with drag-and-drop uploads, and preview images, video, PDFs, and text inline instead of downloading files just to check what they are. A recursive search finds objects across a whole bucket, and bucket settings carry size and object-count quotas so one tenant cannot quietly eat the cluster. Access keys are created in the UI and assigned per-bucket permissions, replacing error-prone command-line key surgery. The cluster overview watches node status, layout configuration, and storage usage, so a degrading node shows up in the dashboard before it shows up as an outage. Sign-in flexes to your setup: no auth on a trusted network, basic admin credentials, the Garage admin token, or OIDC single sign-on through providers like Keycloak and Authentik. With OIDC teams enabled, access control maps token claims to bucket prefixes with named permission presets, and unmatched users are denied by default rather than promoted. Zero-config startup reads your existing garage.toml, so the first login takes minutes. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

JobSpy API turns seven major job boards into a single REST endpoint, aggregating listings from LinkedIn, Indeed, Glassdoor, Google Jobs, ZipRecruiter, Bayt, and Naukri through one GET request. Built on FastAPI with the Python JobSpy scraping library, the API returns structured JSON or downloadable CSV containing job titles, companies, locations, salaries, descriptions, posting dates, and direct application URLs. Filters cover search terms, location, distance radius, job type (full-time, part-time, contract, internship), remote status, hours since posting, country, and salary range. Interactive Swagger UI and ReDoc interfaces provide try-it-now functionality for testing queries directly in the browser. Security includes x-api-key header authentication with configurable rotation, per-endpoint rate limiting with adjustable thresholds, and response caching with configurable TTL to reduce redundant scraping. Global proxy support routes outbound requests through HTTP/HTTPS proxies to avoid IP-based rate limiting from job boards. Environment variables control everything from default search parameters and logging levels to CORS origins and documentation paths. Health check and ping endpoints integrate with uptime monitoring services. Docker Compose exposes the API on a configurable port. MIT licensed.

Kept is a self-hosted home inventory that answers where things are, what they are, and what is due. Locations, rooms, shelves, and boxes nest inside each other, so moving a box moves everything in it, and each location can be viewed as a list, a grid, or a 3D map with pins for low stock, loans, and due items. Every thing gets a short ID and a QR code for label sheets or roll printers, and scanning a label opens the box. Capture a thing, receipt, or whole room from the installable phone web app, offline too; an AI provider you choose, including Ollama, then suggests details for you to confirm. Receipts, manuals, and warranties attach to items, reminders arrive in the app, by email, by push, or in a calendar feed, and an insurance report exports photos, serials, and receipts. Lending tracking, vehicle readings and services, moving-house box lists, and stocktakes cover the rest of the household, with shared locations and roles for everyone you live with. An assistant answers questions like where the HDMI cable is, and an MCP endpoint lets Claude or other AI agents add and move things, with changes waiting for your approval. Nightly backups and imports from Homebox and CSV round it out. 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.

Engraphis is a durable memory layer for coding agents that answers questions like what did we decide about the auth layer three weeks ago, and why, with inspectable project memory that survives across sessions and repositories instead of evaporating when a chat ends. Store a decision once and recall it later in a new session, scoped by workspace, repository, and session so one project's facts never leak into another's context. Recall blends vector, lexical, graph, and code-aware retrieval, then packs the strongest evidence into a hard context budget your agent can actually use. Every returned fact keeps its provenance attached, and the engine cites its support or abstains when the evidence is too weak to trust. Facts are never silently overwritten: bi-temporal history preserves earlier versions, and a timeline view surfaces superseded knowledge when you need to know what used to be true. Index a repository into a code-symbol graph and ask what calls a function before you change it. Conflicting or quarantined memories wait in a review queue for a human decision. 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.

GoRaven transforms AI chat from a question-answer window into a full engineering workstation where agents read files, write code, run shell commands, query databases via MCP tools, and deliver structured results — orchestrating across OpenAI, Claude, DeepSeek, Gemini, Qwen, GLM, and Ollama with task-based routing that allocates the right model for each job based on cost and capability. Built on a Go backend using the Freedom framework with Iris HTTP and a React/TypeScript frontend powered by Vite and Tailwind CSS, each user operates in an isolated workspace with team-shared project areas and centrally managed model quotas. The skill marketplace packages prompts, scripts, and workflows as reusable installable units with automatic dependency resolution and centralized versioning. MCP toolchain integration connects agents to internal APIs, databases, private services, and CLI tools so they query data, invoke services, and trigger actions directly. RAG-powered knowledge bases ingest policies, documentation, and business data for real-time retrieval during planning, coding, and Q&A with source attribution. Long-running task support decomposes complex work through a main agent coordinating sub-agents that execute in parallel across sessions. Plugin hooks inject custom logic at conversation start and end, tool calls, and SSE event streams without forking core code. The operations dashboard tracks usage metrics, model consumption, and team activity. Supports SQLite, MySQL, or PostgreSQL with Redis or local memory caching. Deploy with a single Docker command. 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.

Platypus gives a whole team always-on AI agents that reason, call tools, and keep working on your own servers while everyone is offline. Build an agent once by choosing a provider and model, writing its instructions, and capping its tool-calling loop, then reuse that preset across chats and scheduled runs. Agents load reusable Skills on demand and delegate specialist work to sub-agents that appear to the parent as tools. Connect local and remote data through Model Context Protocol servers, or expose an agent to outside agents and chat platforms through A2A endpoints with a token per client. Triggers run agents on a cron schedule, as one-off jobs, or when workspace events such as a card moving on a board occur, and every run records its result. Kanban boards give agents work they can move and update themselves, while notifications and HMAC-signed webhooks push board and workspace events into your own systems with filtering and retries. Facts and preferences are extracted from conversations in the background and injected into future chats, so returning users are remembered. Sandbox backends give agents shell and filesystem access inside an isolated per-workspace environment instead of the host. Organizations and workspaces keep each team's agents and data separate, and blueprints package shared agents, skills, MCP servers, and providers so a new workspace starts pre-equipped. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Compose Craft is an open-source visual diagramming and management platform that transforms raw Docker Compose configuration files into an interactive canvas of interconnected service nodes. Developers can drag and drop container services to map complex microservice architectures, automatically wiring port mappings, internal bridge networks, volume mounts, and dependency relationships. The real-time synchronization engine reflects every node repositioning, environment variable adjustment, and resource constraint directly into standard docker-compose syntax alongside a live editable code preview pane. Teams can import existing configuration files to diagnose routing conflicts, auto-format tangled service trees, and generate clean architectural documentation for operational handoffs. Engineers can generate shareable read-only public links to demonstrate infrastructure topologies to teammates and external reviewers without forcing them to register accounts. The built-in playground lets administrators experiment with container restart policies, healthcheck definitions, build contexts, and secret keys before deploying to production hosts. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Cataloging tables, topics, queues, and APIs across fragmented data stacks usually demands heavyweight enterprise governance suites, yet Marmot delivers fast full-text asset discovery and AI-ready metadata context in a single self-hosted service. Data engineering and platform teams use its 71 official plugins to automatically ingest schemas, run histories, and dependencies from Apache Kafka, Airflow, Iceberg, Superset, PostgreSQL, BigQuery, and AsyncAPI specifications without moving raw table rows or message payloads. From the web interface, analysts can run structured boolean queries, filter assets by custom tags or PII classifications, and inspect column-level schemas in seconds. Interactive upstream and downstream lineage graphs let engineers trace how events flow from message brokers into warehouse tables and BI dashboards so they can assess what breaks before renaming a column or deprecating an endpoint. Shared business glossaries, bidirectional ownership assignments, and curated data product bundles ensure every department speaks the same language and knows exactly which team maintains each pipeline. Through the built-in Model Context Protocol server, AI assistants in Cursor, Claude Desktop, and LibreChat can invoke tools like discover_data, find_ownership, and lookup_term to answer natural-language questions against live catalog metadata instead of guessing. Platform administrators can also manage catalog resources declaratively using the REST API, CLI, Terraform provider, or Pulumi integration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Creative teams use Shumai to review video, images, 3D models, and documents with feedback pinned to the exact frame, on a server they control instead of a rented review cloud. Pause on any frame, draw on the picture, and leave a timecoded comment with the markup attached, then let threaded replies, mentions, and resolve states carry it to a decision. Every cut stacks into a version stack, and any two versions open side by side to compare changes. Layered PSDs and camera RAW review at full resolution, 3D models spin with comments pinned to the viewing angle, and documents page through as converted PDFs. Clients open a share link with a password and expiry date, downloads switchable, and can comment as guests with no account. Watermarks render into the media on your server rather than layering in the browser, so they stay put wherever the file travels. Comments export as Premiere Pro XML, DaVinci Resolve EDL, Final Cut Pro, or Avid files with correct drop-frame timecode for the editor. Mention the AI agent in a comment and it examines the same frame under discussion, or chat privately about a folder using your own OpenAI, Anthropic, or Gemini key. Originals live on local disk or any S3-compatible bucket, with GPU transcoding and workers that scale up for a delivery and back to zero. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

A single GPU can only hold so many models at once, and when a chat server, an image pipeline, and a voice engine all grab VRAM together, somebody runs out of memory and crashes. Berth fixes the scramble by making every engine lease the card: wrap a launch in berth run and the daemon grants memory in turn, queues the rest with an honest place in line and a start estimate, and drains a holder cleanly before the next load begins. The broker learns each engine's real footprint from its runs, so grants are sized by measured peaks instead of guesses, and processes that grab memory without a lease are reported as stowaways, never killed, with contested grants flagged in plain sight. A collisions board counts what the scheduling prevented: avoided collisions, VRAM handed off, drains, stuck releases, and refusals, and every count links back to a gap free event log you can follow live. The Harbor web UI turns that into a departures board of leases, a six hour tide of memory by holder, engine cards with decode throughput and a token ledger, plus a per model leaderboard and thirty days of stored history. Alerts reach your desktop or a webhook, Prometheus scrapes the metrics endpoint, and multi GPU machines can even pass one card through to a VM while the others keep serving. 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.

A folder of loose audiobook chapters goes in; a single, perfectly tagged m4b library comes out. Bragibooks is the operations board for that transformation: you select a batch of audiobook folders from your server, and it searches AudiobookDB to match each one with the right title, author, narrator, and release, with a custom search on hand when the first match is wrong. Confirmed books enter a processing queue where m4b-merge merges split mp3, m4a, and m4b parts, converts formats, strips stale metadata, and writes clean, consistently tagged files while you watch the live job output in your browser. Saved output profiles let you route different batches to different directories or path formats, and the books library keeps every finished title with its metadata, files, and processing history a click away. The whole thing runs as one container with the interface built in, a SQLite database on a mounted config volume, and access restricted to your local network by default, with an optional API key for external tools. Audiobook collectors use it to tame download folders before importing into their player of choice, and hoarders of split-chapter rips finally get uniform Chapter 01 style files. 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.