Anakin
Backed by Y Combinator and powering scraping infrastructure across 195 countries, Anakin delivers a production-grade web scraping API purpose-built for AI agents and RAG pipelines that need clean, structured data from sites that actively block conventional scrapers. The single Go binary server handles JavaScript-heavy SPAs through its Camoufox anti-detect browser service with automatic fingerprint rotation, while the HTTP-first handler chain tries lightweight extraction before escalating to full browser rendering — keeping response times under 2 seconds for static pages. The built-in React 19 dashboard provides visual scraping with live results, job tracking with status filters, domain configuration management with handler chain CRUD, and proxy performance monitoring via Thompson Sampling scoring. Structured JSON extraction leverages Gemini AI to transform raw HTML into typed schemas without manual selector maintenance. SDKs span Python, TypeScript, Go, .NET, Java, and Ruby, while the MCP server exposes all 21 tools directly to Claude, Cursor, Windsurf, and any Model Context Protocol-compatible agent. The hosted platform extends the open-source engine with AI web search returning full page content with citations, multi-source agentic research across 20+ sources per query, Wire pre-built actions covering 944 websites with 5,201 structured endpoints, persistent browser sessions for authenticated scraping, and website change monitoring with scheduled alerts. Deploy via Docker Compose with three containers or run the binary directly with optional PostgreSQL persistence. 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.
Kotaemon
Kotaemon is a document QA platform that combines advanced RAG techniques with a clean Gradio-based web interface for chatting with your documents. Built by Cinnamon, the Python backend supports any LLM provider including OpenAI, Azure OpenAI, Cohere, Groq, and local models via Ollama and llama-cpp-python, with a model management panel for configuring LLM and embedding providers from the UI. The default hybrid RAG pipeline combines full-text keyword retrieval with vector similarity search and applies re-ranking to ensure optimal result quality, while multi-modal document parsing extracts content from tables and figures alongside text. Advanced citations link every answer to specific source passages with relevance scores, viewable directly in the built-in PDF viewer with highlighted text spans. GraphRAG indexing via NanoGraphRAG, LightRAG, or Microsoft GraphRAG builds knowledge graphs from document collections for relationship-aware retrieval. Agent-based reasoning supports question decomposition for multi-hop queries using ReAct and ReWOO strategies. Multi-user authentication organizes documents into private and public collections with sharing and collaboration features. The platform supports Docker deployment in lite, full, and Ollama-bundled variants, runs on port 7860, and stores application data in a persistent volume. MCP tool integration enables external system connections for extended retrieval capabilities. On RepoCloud, deploy Kotaemon on a dedicated VPS with Docker, root SSH access, and complete control over your document AI infrastructure, all under the Apache 2.0 license.
Kortix
Kortix Suna is an AI management system where autonomous agents run on isolated Linux sandbox computers, producing finished deliverables that humans review through a change request workflow before anything merges. With 20,000+ stars, it positions itself against Claude Cowork and ChatGPT Work by storing every agent persona, skill, memory artifact, and connector in a git repository: versioned, diffable, and shared across an organization. Each session launches a dedicated sandbox with full terminal access, Playwright-controlled Chromium, writable filesystem, and internet connectivity. Over 3,000 app connectors are available through MCP, OpenAPI, GraphQL, and raw HTTP, with credentials brokered server-side so tokens never enter the sandbox. Skills (reusable markdown-plus-script packages encoding company workflows) load automatically into every session, compounding institutional knowledge over time. Bring-your-own-key model routing through LiteLLM connects to OpenAI, Anthropic, Google, Mistral, or local models without vendor lock-in. The deployment runs as a single Docker Compose stack bundling the Next.js frontend, FastAPI backend, Supabase, Redis, and Caddy with automatic TLS certificates. Enterprise features include SAML/OIDC SSO, SCIM provisioning, RBAC, and audit logging. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Elastic License 2.0.
RustFS
Tools and applications that already speak S3 can use RustFS as their storage backend, so backup jobs, data pipelines, and services keep working while the data stays on infrastructure you control. A built-in web console on port 9001 manages buckets, object uploads and downloads, access keys, users, groups, and IAM policies, with a status page for cluster health, capacity, and scanner activity. Versioning, Object Lock retention, bucket quotas, and server-side encryption with Vault or AWS KMS backends protect objects once they land. Lifecycle rules expire or transition data, and tiering moves cold objects to remote targets such as Amazon S3 or Wasabi. Bucket replication and site replication keep clusters in sync, and event notifications call webhooks when objects change. Single-node mode suits a lab or small server, while distributed mode adds erasure coding, bitrot protection, background healing, and pool expansion or decommissioning as capacity grows. Sign-in works with local users, OIDC single sign-on, or OpenStack Keystone, and FTPS and WebDAV are available by default, with SFTP and the Swift API as opt-in builds. A preview of S3 Tables exposes an Iceberg REST catalog for tools such as DuckDB and PyIceberg, and a documented migration path moves existing MinIO deployments across. Typical uses include backups, container registries, logs and traces, data lakes, and AI training sets. 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.
Omni
Omni is an open-source workplace AI agent and enterprise search platform that unites your company's scattered tools into a single context-aware workspace where team members can find answers and automate cross-application workflows. Employees can query connected knowledge sources including Google Drive, Gmail, Slack, Jira, GitHub, Confluence, and HubSpot to locate project specifications, customer records, and operational documents without jumping across tabs. The integrated AI assistant answers complex multi-step inquiries, summarizes lengthy email threads, and cites exact source passages so workers can verify factual accuracy before making business decisions. Granular permission inheritance mirrors existing access controls across every connected service, guaranteeing that sensitive personnel files, financial statements, and confidential repositories remain hidden from unauthorized staff. Engineers can construct bespoke data connectors and define automated agent skills through the extensible Python and TypeScript software development kits, triggering multi-service actions directly from interactive chat dialogues. Administrators can monitor background synchronization jobs, inspect audit trails, manage single sign-on access, and configure custom extraction pipelines using centralized operational dashboards. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.
Casdoor
With 13,800+ GitHub stars and active releases through 2026, Casdoor is the open-source identity platform that ships OAuth 2.0, OIDC, SAML 2.0, CAS, LDAP, SCIM 2.0, WebAuthn passkeys, TOTP multi-factor authentication, and Face ID biometric login in a single Go binary with a React web console — covering every authentication protocol your organization will ever need. Social login connects 50+ identity providers including Google, GitHub, Microsoft Azure AD, Facebook, WeChat, DingTalk, Apple, Twitter, and LinkedIn without custom code. The AI-first architecture includes a Model Context Protocol gateway for AI agent authentication and Agent-to-Agent protocol support for securing LLM-powered workflows. Built-in Casbin integration delivers authorization primitives beyond basic RBAC: attribute-based access control, relationship-based access control, and custom policy models through a unified engine. The organization-scoped multi-tenancy model isolates users, applications, and identity providers per tenant with customizable login pages, branding, and SMTP configuration. SCIM 2.0 endpoints automate user provisioning from HR systems and Active Directory. Official SDKs for Go, Java, Node.js, Python, and PHP accelerate application integration. The RESTful API exposes every resource for programmatic management. Comprehensive audit logs record authentication events and administrative actions. Deploy via Docker Compose with MySQL or PostgreSQL, the all-in-one SQLite Docker image for quick trials, or the official Kubernetes Helm chart for production clusters. 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.
Plane
The most-starred open-source project management platform on GitHub with over 55,000 stars, Plane delivers what Jira, Linear, Monday, and ClickUp charge thousands per year for — issue tracking, sprint planning, documentation, and AI-powered workflows in one unified workspace that you own and control entirely. Work items feature a rich text editor with file uploads, sub-properties, custom states, priorities, labels, assignees, and cross-referencing, organized across five customizable layout views (list, board, table, spreadsheet, Gantt) with Command-K navigation for instant access to anything. Time-boxed Cycles provide sprint planning with automatic burn-down charts, velocity tracking, and scope change detection, while Modules break complex projects into manageable deliverables with progress aggregation. Built-in Pages combine AI-powered documentation with rich formatting, image embedding, and one-click conversion of notes into actionable work items. The AI layer reads across every project, cycle, document, and thread in the workspace — agents take real assignments, triage incoming requests, assign owners, track blockers, and ship status updates automatically. Native integrations connect GitHub, GitLab, Slack, Sentry, Figma, and 50+ tools with bidirectional issue sync and PR tracking, while import pipelines migrate entire workspaces from Jira, Linear, Asana, ClickUp, or Monday in minutes. The REST API with OAuth 2.0, HMAC-signed webhooks, typed SDKs in Node.js and Python, and a native MCP server enable custom automations. 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.
TraceRoot
An agent run can finish without errors and still give the wrong answer, so TraceRoot traces every model and tool call, flags the production runs that missed the mark, and helps your coding agent ship verified fixes. Each run becomes a browsable call tree with inputs, outputs, latency, and cost, searchable by session or filter. Instrument with the Python or TypeScript SDK, the agent-native CLI, or any OpenTelemetry exporter, with ready integrations for LangChain, LangGraph, OpenAI Agents SDK, CrewAI, Vercel AI SDK, Mastra, and Pydantic AI. Detectors use LLM judges to score live traffic against the behavior you define and can post alerts to Slack. Judge outputs cluster into signals, then a background coding agent reads the traces and your connected GitHub code in a sandbox and recommends changes down to the commit, file, and line. Datasets, test cases, and scored eval runs compare versions so regressions surface before a release, and dashboards of widgets chart your trace data. The CLI hands your coding agent, such as Claude Code or Codex, the traces, signals, detectors, and evals to work from. Self-hosting keeps all of that trace data on infrastructure you 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 (core edition).
Casibase
Casibase lets organizations build AI-powered knowledge bases that answer questions from their own documents, connecting to 30+ model providers through a unified admin interface with RAG retrieval and multi-agent orchestration via MCP and A2A protocols. The platform plugs into OpenAI GPT-4o, Anthropic Claude, Meta Llama, Google Gemini, DeepSeek, Ollama local models, HuggingFace, Azure OpenAI, and additional providers, while embedding APIs from OpenAI Ada and Baidu handle vector representation of ingested documents. Document ingestion parses TXT, Markdown, DOCX, PDF, CSV, XLSX, and PPTX files with intelligent chunking strategies for optimal retrieval accuracy. The built-in chat interface provides real-time AI conversations with manual session handover for human agent escalation, and comprehensive chat session logging enables audit trails for compliance. Enterprise identity management integrates Casdoor for Single Sign-On supporting GitHub, Google, WeChat, and OIDC providers with fine-grained access control via the Casbin permission engine. The multi-tenant architecture supports isolated knowledge bases per organization with role-based user management and configurable storage, model, and embedding providers per tenant. The React frontend with Ant Design v5 provides a polished admin dashboard for managing providers, knowledge stores, chat sessions, and user access, while the Go backend with Beego framework handles API logic with MySQL or MariaDB persistence. 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.
AgenTerm
AgenTerm lets your AI agent work inside a remote computer's terminal with the owner's permission, through a relay server you host yourself. Your agent connects to the server over MCP and creates an invitation, single-use and expiring in fifteen minutes by default, or reusable across several devices; you privately share the generated connection command with the person who needs help. That person runs a small client on macOS, Linux, or Windows, reads what access means, and authorizes it; the client then dials out to your server, so the target computer needs no SSH service and no open inbound port. The agent can then run one-off commands with a chosen working directory, environment overrides, and timeouts, receiving stdout, stderr, and exit status, or hold an interactive session open, reading output as it arrives and typing answers to prompts. The person at the keyboard watches every command and its output in the client and can disconnect at any moment, and the client reconnects by itself after a network drop. Use it to troubleshoot a colleague's machine without swapping logs, help family through a terminal problem, or drive a development box with no agent or model account of its own. The relay itself is a single Go binary guarded by a management key, deployed with Docker Compose or systemd, with in-memory sessions and a health endpoint. 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.
EcomGen
Your next product listing does not need a photo studio, because EcomGen turns the product facts and photos you already have into a complete image suite you approve shot by shot. Each product becomes a project that remembers its verified facts, banned claims, brand rules, target market, and platform requirements, so generation starts from what is true about the item rather than a fresh guess every time. An agent reads the template library and drafts a storyboard with a role for every image: hero, pain point, comparison, scene, detail, trust, variant, and conversion, and you edit and confirm each final prompt before anything renders. Twenty-five built-in templates and more than 1,100 reusable suites across 24 top-level categories keep a catalog visually consistent, and the Suite Forge can reverse-engineer a winning competitor set into a reusable template of your own. Product-truth pixel protection keeps the real item intact instead of letting the model improvise a different product. Finished shots can be masked, repainted, outpainted, and split into editable PNG and PSD layers, reviewed one by one, then exported as a ZIP with a manifest, while the model library keeps virtual models consistent across poses and scenes. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
MCPJungle
MCPJungle puts every MCP server your AI tools use behind one endpoint, so Claude, Cursor, Codex, and your own agents all connect to a single gateway instead of a tangle of per-client configurations. Register remote HTTP servers and local STDIO servers once, and their tools, prompts, and resources become discoverable through the gateway in one place. Tool groups expose curated subsets at their own endpoints, so a coding agent sees only the tools its job needs instead of hundreds of irrelevant ones competing for context. The dashboard gives you a visual registry of servers, tools, and groups for everyday management, while the CLI and REST API cover scripting and automation. Development mode runs with zero authentication for a personal setup; enterprise mode adds per-client tokens that allow-list exactly which servers each client may reach. User accounts and manual server initialization give teams a governed shared deployment, with OpenTelemetry metrics showing what clients call and how the gateway performs. Upstream servers can authenticate with bearer tokens or OAuth, so credentials stay centralized in the gateway rather than copied into every client config. Registry data persists in a local file for solo use or in PostgreSQL when the gateway becomes shared team infrastructure. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MPL-2.0 licensed.
Chattermate
ChatterMate gives your website an AI support agent that answers customer questions from your own documentation around the clock, and hands the conversation to a human the moment it gets complicated. Feed it PDFs, help pages and URLs, and it chunks and indexes them into a knowledge base that answers with citations instead of guesses. Pick your model from OpenAI, Anthropic Claude, Google Gemini, Mistral, xAI Grok, DeepSeek or Groq with your own key, or point it at a self-hosted Ollama or vLLM endpoint. Every conversation lands in one shared inbox across nine channels, including the website widget, WhatsApp, Instagram, Messenger, Slack and email, where your team can search, filter and reassign. A drag-and-drop workflow builder designs branching flows from AI response, condition and human transfer nodes, so routine questions resolve themselves and hard ones arrive with context. Chats can raise tickets that the AI triages and investigates, writing an auditable root-cause analysis, or open a Jira ticket without leaving the conversation. The native Shopify integration answers order, shipping and product questions from live store data, and customers can attach images, PDFs and documents directly in chat. Theme the widget to your brand, require token authentication for private chats, and connect MCP tools so the agent can look up orders, issue refunds and call your APIs mid-conversation. 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.
Goofish Monitor
Goofish Monitor watches Xianyu for the secondhand deals you actually want, checking listings around the clock and alerting you when a match appears at the right price. Describe what you are hunting in plain language and the AI judge turns it into analysis criteria, or skip the model and write exact keyword rules yourself. Each task carries its own keywords, price range, listing age window, and province, city, and district filters, and several tasks run side by side without stepping on each other. Results land in a browsable page with price history, so you can see whether a seller dropped the price or relisted the same item. When something matches, notifications fan out to ntfy, Telegram, Bark, WeChat Work, or a generic webhook, which means the good deals reach your phone before someone else grabs them. Cron schedules let tasks wake on your timetable, accounts can be bound per task, and proxy rotation with retries keeps longer monitoring runs alive. The management interface covers task creation, account login states, prompt editing, run logs, and system settings, so diagnosis happens in the browser instead of a log file. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Obscura
Obscura is the headless browser you point Puppeteer or Playwright at when Chromium feels like renting a truck to fetch a letter. Start the server and your existing automation connects over the usual DevTools protocol, opens pages, clicks, types, waits for selectors, and reads the fully rendered result, JavaScript included. Scrape one page or fan out across many in parallel, evaluating an expression on each and getting structured output back. Capture viewport or full-page screenshots, export PDFs, intercept requests to block or rewrite them, and manage cookies and headers per session. An MCP mode lets AI agents drive the browser as a tool instead of shelling out to scripts. Stealth mode randomizes fingerprints per session, presents realistic browser identity signals, and blocks thousands of known tracker domains before they load. Proxies, persistent storage for cookies and local storage, and robots handling round out the controls for longer crawls. The whole thing starts instantly and sips memory compared with a conventional headless Chrome, so a modest server can keep many more pages in flight. 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.
Utopia
The first open-source substrate for enterprise knowledge engineering that learns passively and governs itself. The Rust-built backend paired with PostgreSQL and pgvector delivers a bitemporal knowledge graph where every fact carries two timelines: when it held in the real world and when the system came to believe it — enabling full audit trail replay of how understanding evolved. Document ingestion handles PDF, DOCX, PPTX, XLSX, CSV, Markdown, HTML, and plain text with legacy encoding detection, while scheduled syncing pulls from web pages, RSS feeds, GitHub, Jira, Notion, WebDAV, and S3-compatible buckets. Search fuses Tantivy full-text indexing with pgvector semantic vectors using Reciprocal Rank Fusion, streaming answers with inline citations that link directly to source passages. The built-in agent harness drives agentic RAG through conversation — searching documents, walking the knowledge graph at any historical date, and querying mounted databases via Ontology2SQL which achieves state-of-the-art results on BIRD Mini-Dev benchmarks. Five ontology packs ship inside the binary (schema.org, W3C Org, PROV-O, FOAF, IOF Core) with forward-chaining reasoning for transitivity, symmetry, inverses, and relation hierarchy. Entity resolution operates in three stages: exact name matching, embedding similarity, then model-based judgment with every merge reversible. Any OpenAI-compatible endpoint works including DeepSeek, Qwen, Ollama, and vLLM for fully air-gapped deployment. 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.
Scrumboy
Scrumboy is a Kanban and sprint management tool that ships as a single Go binary backed by SQLite, deploys in under ten seconds via Docker, and uniquely integrates with AI coding agents through a standards-compliant MCP JSON-RPC endpoint. The dual-mode architecture supports Full mode with bootstrapped authentication, TOTP two-factor auth, OIDC/SSO integration through Keycloak, Authentik, Auth0, or Entra ID, role-based access control across Owner, Admin, User system tiers plus per-project Maintainer, Contributor, and Viewer roles, and Anonymous mode that generates instant shareable boards accessible via unique URLs with zero signup requirement. Custom workflows allow user-defined lane configurations per project including designated "Done" lanes, while sprints with configurable one or two-week cycles include board-level sprint filtering and the ability to disable and re-enable sprint tracking without losing history. Real-time Server-Sent Events power instant multi-user board updates, and outbound webhooks deliver JSON payloads to registered URLs when domain events fire with HMAC signature verification. The MCP endpoint at /mcp/rpc enables native integration with Cursor, Claude Code, and other AI agents through OAuth 2.1 with PKCE authorization, while API access tokens support CLI automation and CI/CD pipelines. Additional capabilities include VoiceFlow voice commands, per-project sticky-note walls, Markdown and Mermaid diagram support in task notes, append-only audit trails, VAPID Web Push notifications, SMTP password reset, Trello import, JSON backup with merge/replace/copy strategies, and 22-language internationalization. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL v3.0 licensed.
RSSBox
Foreign-language feeds are where good information usually goes to be ignored, and RSSBox fixes that by translating, filtering, and merging RSS sources, then republishing them as clean feeds your existing reader can subscribe to. Add a feed, pick a translation engine, and RSSBox republishes it with titles, full articles, or summaries translated, optionally showing both languages side by side. Each feed can use a different engine, from DeepL to any OpenAI-compatible model endpoint, and the admin shows translation status plus the tokens or characters each source has consumed. Update schedules are set per feed, so a fast-moving news source refreshes hourly while a quiet personal blog checks in once a day. Keyword filters quietly drop the recurring topics you never open, and AI filtering goes further by judging items against what you actually read. Tag several related sources and RSSBox merges them into a single unified feed, translations and filters applied, ready to follow as one stream. Full-text fetching pulls complete article bodies from feeds that only publish excerpts, so the translation covers the whole story rather than the teaser paragraph. Your reader app never changes: it simply subscribes to the translated feed URL like any other source. 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.