Browser tests, load tests, uptime checks, public status pages, and an AI incident investigator all live in one self-hosted dashboard called Supercheck. Write browser, API, database, custom, and k6 performance tests in a built-in code editor, or record a flow with the Chrome and Edge Recorder extension and save it as a Playwright script. Group tests into scheduled jobs, trigger them from CI with trigger keys, and review run logs, screenshots, traces, and reports. Five monitor types cover HTTP endpoints, website SSL expiry, ping, TCP and UDP ports, and scheduled synthetic browser journeys, with administrator-defined check locations and alerts to email, Slack, Discord, Telegram, Microsoft Teams, or webhooks. Status pages publish component health with 90-day uptime, incidents, scheduled maintenance, badges, and subscriber notifications under a subdomain or custom domain. When something breaks, the incident workspace collects evidence, drafts an evidence brief, and runs a read-only AI investigation across connectors such as GitHub, Prometheus, Grafana, and Kubernetes, while Copilot answers questions about that evidence. Requirements link expectations to tests and show coverage, and AI can extract them from a PRD. Organizations, projects, six roles, API keys, and audit trails keep teams in their lanes, and the CLI pulls, diffs, and deploys resources as code. 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.

LiftTrace is a self-hosted weightlifting tracker that keeps your entire training history, programs, personal records, and progress photos on your own server in a single Docker container. Log every set with weight, reps, RPE, warm-up markers, and supersets, or type a line like bench 3x5 at 225 and let the Smart Log parser turn plain text or a voice note into structured sets. Follow multi-week programs where each week prescribes its own sets, reps, tempo, rest, and load, and watch the diary prefill today's session from the active template. Browse an exercise library merged from wger, Free Exercise DB, and ExerciseDB, add custom movements, or bulk import your own catalog from a spreadsheet. Automatic PR detection, estimated one-rep maxes, volume and frequency charts, and dated progress photos with a drag-to-compare view show how training is trending. The built-in Trace AI coach reads your workouts, programs, records, and body stats to answer questions, log sessions, and adjust plans through Claude, OpenAI, Gemini, or a local Ollama model. Coaches can prescribe workouts, leave notes on individual sets, and review filmed set videos with comments stamped at the moment that matters, all with explicit consent from the athlete. Import years of history from Strong, Hevy, FitNotes, Jefit, or Garmin FIT files, keep logging offline in the gym, and sign in with OIDC through Authentik, Keycloak, or Authelia. 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.

OctoBot provides a free and fully configurable cryptocurrency trading platform that runs on your own server. The bot automates investment strategies across 15+ exchanges including Binance, Coinbase, MEXC, Hyperliquid, Kucoin, OKX, and Bybit, supporting spot, futures, and perpetual markets. The AI trading system connects to any OpenAI-compatible API or local Ollama server, enabling strategies powered by ChatGPT, Llama, Mistral, or any custom model for market analysis and signal generation. TradingView integration accepts PineScript indicator signals and strategy alerts via webhooks, while built-in technical analysis covers RSI, Moving Averages, MACD, Bollinger Bands, and other standard indicators. The modular tentacle architecture allows community-developed plugins to extend strategy logic, evaluators, data sources, and exchange interfaces. The backtesting engine replays historical market data against any configured strategy, reporting profit and loss, drawdown, win rate, and trade-by-trade breakdown before committing real funds. Paper trading provides risk-free live simulation with the same execution logic as production. The web dashboard displays real-time portfolio value, open positions, trade history, and strategy performance with interactive charts. Telegram bot integration enables remote monitoring, notifications, and command execution from mobile devices. Docker deployment runs the full stack in a single container with persistent volume storage for configuration and trade data. On RepoCloud, deploy OctoBot on a dedicated VPS with root SSH access, persistent storage for your trading data and strategy configurations, and complete control over exchange API keys and AI model connections, all under the GPL-3.0 license.

With nearly 3,000 GitHub stars and 14 releases since its June 2025 launch, Kite delivers a lightweight Kubernetes dashboard that replaces the fragmented workflow of switching between kubectl, Lens, and separate monitoring tools with a unified multi-cluster management platform. The dashboard automatically discovers clusters from kubeconfig files and supports independent Prometheus configurations per cluster, providing real-time CPU, memory, and network charts alongside live pod log streaming with filtering and search. A built-in web terminal opens shells directly into pods and nodes without kubectl port-forward, while the Monaco-based YAML editor offers syntax highlighting and validation for in-place resource editing. The integrated AI agent, powered by OpenAI or Anthropic models via native Go SDK integrations, translates natural language into precise client-go API calls — querying cluster health, analyzing pod logs, scaling deployments, patching resources, and cleaning up failed jobs — all operating strictly within the logged-in user's RBAC permissions. Enterprise governance includes OAuth 2.0 single sign-on, multi-factor authentication, FIDO2 passkeys, granular role-based access control with per-namespace permissions, and comprehensive audit logging. Helm chart management enables browsing, installing, and upgrading releases directly from the UI, while the Docker registry integration provides quick image tag selection. Deploy via a single Docker container with SQLite or use the official OCI Helm chart with PostgreSQL or MySQL for production. 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.

SurveyKing combines survey creation and online examination in a single platform — generate complete questionnaires from plain English via built-in LLM integration, administer timed exams with anti-cheating proctoring, and collect structured data through 20+ question types including matrix questions, cascading selectors, file uploads, and electronic signatures. Built on Spring Boot 3 with a React and TypeScript frontend using the UMI framework and Ant Design components, version 1.12 delivers each question type with independent validation rules, data type controls, and formula calculations. The AI engine connects to mainstream LLMs for survey generation from natural language prompts and provides real-time answer explanations during practice sessions. Exam mode features item banks with Word and Excel bulk import, fixed and randomized question selection, composite paper assembly, live proctoring dashboards with anti-cheating controls, automatic and manual grading with per-question scoring, and PDF score report archiving. The visual logic designer and DSL expression engine handle show/hide conditions, required rules, skip branching, quota controls, randomization, and cross-tabulation analysis with SPSS export. Role-based access controls support multi-user collaboration with department and permission management via Spring Security and JWT authentication. Redis handles caching and queuing while MyBatis Plus manages database operations. Deploy via a single Docker command with embedded H2 for trials or Docker Compose with MySQL for production. 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 26,000 GitHub stars and consistent victories over ElevenLabs in blind evaluations, Chatterbox delivers state-of-the-art text-to-speech with zero-shot voice cloning requiring only 5 seconds of reference audio. The model family spans three architectures: Chatterbox Multilingual V3 (500M parameters, 23+ languages including Arabic, Chinese, Japanese, Korean, Hindi, French, German, Spanish, and Portuguese), Chatterbox-Turbo (350M parameters optimized for voice agents with a single-step distilled decoder achieving ~200ms time-to-first-speech), and Chatterbox-Nano (110M parameters running 3x faster than realtime on 8 CPU cores for edge deployment). Unique among open-source TTS systems, Chatterbox introduces emotion exaggeration control — adjusting intensity from monotone to dramatically expressive via a single parameter — and native paralinguistic tagging where tokens like [laugh], [cough], [chuckle], and [gasp] inject natural vocal reactions inline without post-processing. The alignment-informed inference pipeline eliminates hallucinations and repetition artifacts common in autoregressive TTS. Built-in PerTh neural watermarking embeds imperceptible forensic identifiers in generated audio for provenance tracking. Trained on 500,000 hours of cleaned speech data across all supported languages. Voice conversion scripts enable transforming existing audio into any cloned voice. Deploy via pip install with PyTorch, serve through Gradio interfaces or custom FastAPI endpoints, and expose via HTTP streaming or WebSocket for sub-200ms conversational applications. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Siftly transforms your Twitter/X bookmarks from a chaotic pile of saved tweets into a searchable, AI-categorized knowledge base with an interactive visual mindmap. With over 2,700 GitHub stars since March 2026, the platform runs a four-stage enrichment pipeline on each bookmark: entity extraction mines hashtags, URLs, @mentions, and 100+ known tool domains without API calls; vision analysis generates 30-40 visual tags per image using the Anthropic SDK; semantic tagging produces 25-35 searchable descriptors; and categorization assigns one to three categories with confidence scores. Search combines SQLite FTS5 full-text indexing with Claude-based semantic reranking, narrowing candidates through keyword matching, category-intent detection, and deduplication before sending a bounded set for LLM relevance scoring, letting you find bookmarks by meaning rather than exact keywords. The interactive mindmap built on @xyflow/react renders your entire collection as a force-directed graph organized by category with expandable nodes, color-coded legends, and direct links to original tweets. Import bookmarks through a built-in bookmarklet or console script without browser extensions, then browse in grid or list view with filters for category, media type, and date range. Export as CSV, JSON, or category-grouped ZIP archives. Prisma 7 manages the local SQLite database with FTS5 built in, requiring zero external database setup. A bundled CLI provides JSON-output commands for stats, search, and category management. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Proval is a self-hosted AI code review agent that reads every pull request on your GitLab, Forgejo, or GitHub server and posts a consolidated, severity-grouped review with inline comments, using a model you run yourself. When a pull request gets a meaningful push, a planning agent groups changed files into review units and dispatches specialist sub-agents in parallel, each exploring the codebase so cross-file issues surface. A writing agent merges their findings into one review, with comments on the affected lines, including multi-line ranges. Reply to any Proval comment and it reads the thread context and answers, and it works on issues too, greeting new ones and answering follow-ups on every message or only when mentioned. Choose per repository whether reviews run on first push only, every push, or not at all, skipping drafts until they are marked ready. Every review, reply, and issue comment is logged with its token usage, so each model's cost shows in the dashboard instead of hiding in an API bill. Your code is never stored; review context goes only to the LLM endpoint you configure, whether that is a cloud API or a local Ollama or llama.cpp server on your own network. Connect GitLab or Forgejo with an access token and webhooks, or GitHub through a GitHub App; Gitea and Codeberg use the same Forgejo-compatible path. 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.

A drag-and-drop task board that works fine on its own and can also hand cards to AI coding agents, Veritas Kanban shows what each agent is doing, what it changed, and what is waiting for your approval. Start with no agents at all. Cards move through To Do, In Progress, Blocked, and Done, and each one carries subtasks, dependencies, time tracking, comments, and an activity log. When you are ready, connect Codex, Claude Code, Copilot CLI, Hermes, or OpenClaw, give every agent an Intern, Specialist, or Lead permission level, and follow each agent's status and model on a live dashboard. Let a task run in its own Git worktree, read the diff, leave inline comments, approve or request changes, and open a GitHub pull request from the task panel. Squad Chat gives agents one shared channel that posts spawned, completed, and failed events. Workflows chain steps with parallel branches, loops, and human approval gates. Policy rules allow, deny, or hold agent actions for review. Assistants reach the board through an MCP server, a command-line client, or a REST API. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Saki Panel is a self-hosted operations console that manages your game servers, containers, and background processes across multiple Linux machines, with an AI assistant sitting inside the workspace when something breaks. Start, stop, restart, and monitor nine kinds of instances, from Minecraft and Steam game servers to Docker containers, Compose stacks, Node and Python apps, and plain shell commands. Remote nodes connect over SSH and report CPU, memory, and disk metrics to a cluster dashboard, so every machine is visible in one place. When an instance crashes, Saki Watch records the exit and its error fingerprint, then helps diagnose the cause from live logs, files, and metrics instead of making you copy text between a terminal and a chat window. Proposed fixes appear as diffs that need your approval, are graded by risk level, and can roll back automatically if verification fails after a patch. Day to day work happens in the same console: a web terminal, a file manager with an editor and archive support, database tools for SQLite, MySQL, PostgreSQL, and Redis, and cron-scheduled tasks with full run history. Role-based access with dozens of permission codes, audit logs, and incident notifications through webhooks or Telegram keep a small team in control. 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.

Retrieval-augmented chatbots on your own knowledge base - that is the whole mission of Dialoqbase, an open-source bot-building platform. Feed it content through a broad set of data loaders - web pages and full crawls, sitemaps, PDFs, DOCX, CSV, plain text, GitHub repositories, YouTube videos, and MP3/MP4 audio - and it handles the whole RAG pipeline in one self-contained app: chunking, embedding, vector storage, and LLM querying. The distinguishing architecture choice is PostgreSQL with pgvector for embedding storage and similarity search, which removes the separate vector-database dependency, and Redis-backed Bull queues for ingesting large documents without blocking the API. Model choice is wide open: OpenAI, Anthropic Claude, Google Gemini, Cohere, Fireworks, Hugging Face, local models via Ollama, and any OpenAI-compatible endpoint, with an equally broad list of embedding providers. Finished bots embed on any website with customizable styling or deploy to Telegram, Discord, and WhatsApp, and an API creates and manages bots programmatically. Multi-user support adds registration limits and per-user bot quotas. MIT-licensed and free for commercial use.

With nearly 600 GitHub stars and a feature set that rivals commercial note apps, Glass Keep is the self-hosted Google Keep alternative that wraps a full-featured notes system in a glassmorphism UI with blurred backdrops, translucent modals, and smooth transitions. The React and Vite frontend renders notes in a masonry card grid with pinning, color themes, tag chips, and drag-and-drop reordering. Text notes support Markdown with headings, bold, italic, strikethrough, blockquotes, and fenced code blocks, while checklists offer inline editing, drag-to-reorder items, and direct toggle from the grid without opening the note. A freehand drawing mode provides customizable brush sizes and colors for handwritten notes. The private AI assistant runs an optimized Llama 3.2 (1B) model entirely inside the Docker container using RAG over your own notes, answering queries like "what are my AWS commands?" without any data leaving your server. Deep search spans titles, Markdown text, tags, checklist items, and image names. Import notes from Google Keep via Takeout JSON files or export your entire vault as JSON with per-note Markdown downloads. The Express backend with better-sqlite3 requires no external database. Real-time collaboration enables shared checklists with live item toggling. Dark and light themes persist across sessions, and the PWA manifest supports installation on any device. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

RocketplaneIO is a self-hosted AI SRE platform that gives Kubernetes clusters zero-instrumentation eBPF observability plus a copilot capable of safely diagnosing and fixing issues without your telemetry ever leaving your infrastructure. Point it at any cluster, and an eBPF DaemonSet starts capturing HTTP, gRPC, SQL, Redis, and Kafka spans across every service, including compiled binaries, with cross-service context propagation and no code changes required. The live service map draws itself from actual network traffic, matching technology logos from container images and coloring each node's health from RED metrics. Every log line sits two clicks from its parent distributed trace, and a PromQL query engine, embedded from the real Prometheus evaluator, runs over ClickHouse for long-term metric retention. The complete Kubernetes inventory (Services, Ingress, ConfigMaps, network policies, persistent volumes, CRDs) syncs continuously and is searchable alongside traces and logs. When the copilot identifies a problem, it picks from a catalog of roughly 30 risk-classified safe actions; each action verifies its preconditions, captures a before-state snapshot, executes, checks the result, and rolls back automatically on failure. Disruptive operations pause for explicit human approval before proceeding. An MCP endpoint exposes the identical guardrailed toolbox to external AI agents, so Claude Code or Cursor can operate the cluster through the same safety boundary the browser copilot uses. Complex remediations compose as searchable, forkable Starlark workflows that compile deterministically at save. 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.

Sage Wiki turns a pile of unstructured documents into a fully interlinked, searchable wiki by running them through a five-pass LLM compiler pipeline. Inspired by Andrej Karpathy's vision of LLM-compiled knowledge bases, the pipeline processes source files through diff detection, summarization, concept extraction, image captioning, and cross-reference discovery, with parallel LLM calls and checkpoint/resume for vaults scaling to 100,000+ documents. The typed ontology graph stores entities and relations with BFS traversal, configurable relation types, multilingual synonyms, and a promotion/demotion lifecycle backed by grounding verification and consensus scoring. Multi-format ingestion handles Markdown, PDF, Word, Excel, PowerPoint, EPUB, email, CSV, images, and code files without manual tagging. LLM provider support spans Anthropic, OpenAI, Gemini, Ollama, and any OpenAI-compatible API, with per-pass model routing enabling cost optimization by assigning cheaper models to simpler tasks. The built-in MCP server exposes 17 tools over SSE transport for integration with Claude, Cursor, and any MCP-compatible agent, while native Obsidian vault overlay ensures existing note workflows remain undisrupted. Team deployment supports Git-synced shared wikis, centralized server access, and hub federation across multiple projects. Ships as a single Go binary with Docker Compose multi-arch images serving the web UI on port 3333. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

BitRouter is a context-aware LLM router that learns which model delivers the cheapest successful outcome per workflow step, cutting agent costs by up to 80% while maintaining 96% quality versus all-frontier baselines. Point any agent runtime at http://localhost:4356 with a one-line OPENAI_BASE_URL change and BitRouter routes to OpenAI, Anthropic, Google, Groq, DeepSeek, Mistral, Moonshot, MiniMax, Nvidia, and any OpenAI-compatible endpoint simultaneously, normalizing authentication, streaming, and cross-protocol translation between wire formats. The act-observe-evaluate-learn loop traces every hop with cost, tokens, and latency attribution, scores each decision against a versioned policy-lock.yaml, then tightens routes automatically with no LLM judge in the path. Native MCP gateway auto-discovers tools from connected servers and makes them routable and governed alongside model calls. Agent Client Protocol integration enables the TUI to manage Claude Code, Codex, OpenCode, OpenClaw, Gemini, and Copilot sessions in real time with inline tool-call approval and live streaming. Built-in guardrails inspect, redact, or block risky content before requests leave your network. Virtual keys scope API access per agent or user without exposing upstream credentials. Per-agent spend caps and loop guards contain runaway cost automatically. Multi-account failover reroutes mid-run so rate limits never re-pay completed work. Ships as a single Rust binary via npm or Cargo. 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.

Meet your new digital sidekick, the Fully Autonomous AI Agent! This isn't just any AI; it's like having a superhero in your terminal, browser, and editor. Ready to tackle complex tasks and projects with a single command, this AI Agent is your go-to for making tech magic happen. And with RepoCloud, you're not just saving on costs, you're also joining a league of extraordinary users harnessing the power of open-source collaboration. Get ready to elevate your productivity to legendary levels!

AgentVerse OS turns a single Ubuntu server into a personal cloud with a real desktop in the browser, built for a developer and their AI agents. You work in a windowed desktop with a taskbar, start menu, and widgets for system monitoring, clock, news, weather, and projects, and the same desktop opens from a laptop, tablet, or phone while everything stays on the server. Each project gets an isolated Incus container with Docker inside, its own network and gate, plus VS Code, a terminal, files, and git in the browser. The Agents app runs Claude Code, Codex, Gemini CLI, pi, and Antigravity inside the workspace, with permission prompts you approve from any device, scheduled routines, model menus, conversation search and export, and a ledger of what each session spent. When you close your laptop the agents keep working, and you pick the conversation up later exactly where it stopped. A built-in store merges the Runtipi, Coolify, and Umbrel catalogs into about 945 installable apps with guided setup, credentials shown in the app card, snapshots, and rollback. Projects request capabilities such as storage.s3, llm, or notify instead of hardcoding addresses, scheduled ZFS snapshots feed a restic backup repository, and access arrives only through your Tailscale network with real certificates. 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.

SoftJL turns a system description into the UML diagrams, test cases, and Word specifications a software project is supposed to produce, and keeps every artifact traceable back to the requirement it came from. Describe your system in chat and confirm the extracted requirement rules, then work through feasibility analysis with system context, business and system flows, and implementation options weighed by cost, benefit, and risk. From the confirmed rules it builds requirement and design models: functional structure, use cases, domain concepts, architecture, design classes, database and deployment diagrams, all editable as PlantUML with SVG export. Tests follow the same thread, with normal, exceptional, and boundary cases mapped to requirement rules in coverage and traceability matrices that show exactly which requirements lack design or test support before you submit. When a requirement changes, dependencies and update status point at the models, tests, and documents that need review, instead of leaving you to rediscover them by hand. Specifications generate from the saved models as versioned, editable DOCX files, a feasibility report, a requirements specification, and a design description, ready to compare against the diagrams and revise. An optional read-only MCP endpoint lets a coding agent read your designs and acceptance criteria, and the whole workspace runs on your own OpenAI-compatible model service. 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.