Describe the task in plain words, pick the sources and model it may use, and an agent plans the workflow before running it. That is the core loop: agents build editable visual workflows from a task description, execute them on demand or on a schedule, and keep everything traceable. Prefer building by hand and the canvas offers 17 preconfigured steps, branching, undo and redo, JSON import and export, plus eight starter templates. Feed it real work by importing PDF, DOCX, XLSX, CSV, JSON, and text files, or by connecting folders, HTTP endpoints, and approved local programs. Upload a screen recording and it identifies the actions with timestamps, turning a demonstrated process into an editable workflow you can refine. Model calls go to the endpoint you choose: Ollama, LM Studio, vLLM, or any OpenAI-compatible service, local or cloud with your own credentials. Every run can be inspected step by step, cancelled mid-flight, and exported as JSON, CSV, or Markdown reports. Observations from completed runs land in a knowledge and learnings store, where you review them and promote the useful ones into reusable skills for the next task. The Docker release bundles the application with FFmpeg and local Whisper support, and your documents stay on your own machine. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache License 2.0 licensed.

With over 7,000 GitHub stars and active community maintenance through version 0.26.0 released in June 2026, Homebox fills the gap between inadequate spreadsheets and overcomplicated enterprise asset management by providing a purpose-built inventory system designed specifically for home users, families, and small groups. The Go backend with SQLite storage deploys as a single Docker container consuming under 50MB of RAM at idle, running on hardware as modest as a Raspberry Pi while the responsive web interface adapts seamlessly across desktops, tablets, and smartphones. The entity-based architecture introduced in v0.26 unifies items and locations into a shared structure supporting custom fields, attachments, entity types, and reusable templates for consistent data entry across inventory categories. QR code generation creates printable labels that scan with any smartphone camera to instantly display item details, photos, serial numbers, and associated documents. Warranty tracking records purchase dates, prices, and expiration dates while maintenance scheduling sends reminders for recurring service tasks. Location hierarchies organize items spatially with nested sub-locations, and flexible label tagging enables cross-cutting categorization beyond physical placement. Multi-user support shares collections with family members or roommates with OIDC single sign-on integration for Active Directory, Okta, and other identity providers. CSV import and export handles bulk operations, while the full REST API enables automation and third-party integrations. Collection-level ZIP export packages complete inventories with attachments for backup or migration. 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.

OpenGTM turns a market, a list, or a workbook into enriched, researched, ready-to-contact prospects on servers you control. Give it a market and it sources companies and people; hand it a CSV or a Clay table and it maps the columns into a shared record library. Enrichment columns run as waterfalls that try providers in cost order until a field is filled, and before anything spends a cent you see best and worst case estimates, with a workbook budget ceiling that halts paid calls on its own. Research columns send an agent to answer the hard question for each row, and the answer keeps citations to the pages it actually fetched, so a human can audit the claim before outreach. Live audiences segment your records and watch for hiring and buying signals, refreshing on schedules and firing automations when a prospect heats up. Finished rows flow out to HubSpot, Salesforce, Slack, Sheets, Airtable, Instantly, Smartlead, webhooks, or a warehouse, while every cell keeps a trace of provider attempts, latency, and cost. Your own agents get the same workspace through a REST API, webhooks, and an MCP server with scoped read and write tokens, and a seeded zero-key demo means the team can explore the whole loop before adding a single provider key under Settings. 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.

Designed for developers on the go, Yep Anywhere turns any smartphone browser into a full-featured control center for supervising, steering, and reviewing autonomous AI coding agents. Operators can monitor live execution across multiple active projects simultaneously without sitting at a desktop terminal. Real-time reasoning feeds. Instant push alerts for permission prompts. One-tap tool approvals. Developers can unblock pending tasks mid-turn, redirect active workflows, or queue sequential follow-up prompts for automatic delivery at the next safe milestone. An integrated source control viewer displays syntax-highlighted working-tree and commit diffs, allowing reviewers to attach line-level comment bundles directly back into the agent context. Mobile voice transcription lets users dictate instructions straight into running sessions, while photo library integration makes uploading bug screenshots effortless. All agent credentials, CLI configurations, and repository data remain private on the host server without requiring third-party cloud database accounts or proprietary device pairing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

On your own server, TypeType runs a private video platform for YouTube, NicoNico, and BiliBili, keeping subscriptions, history, and playlists out of someone else's recommendation engine. Pick a service and search it. Browse channels, Shorts, podcasts, and a home feed. Speed and quality control. Cinema mode. Native picture-in-picture. Subtitles, alternate audio tracks, and frame-by-frame stepping. SponsorBlock segments get skipped, or just marked, by category. Subscriptions, playlists, watch later, favorites, and resume positions fill the library. Import a Google Takeout export or a PipePipe backup and a new instance never starts empty. Download video or audio to local or S3-compatible storage and collect it in the browser when it is ready. Sign in locally or through OIDC. An admin console runs the instance. Block a channel and it disappears from feeds, search, and related videos. Hide Shorts. Hide personalized recommendations. Hide the suggestions column. A native Android client for phones and tablets syncs with the same instance. An optional experimental recommender can build a personalized home feed, and each user chooses whether to turn it on. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Agenta delivers a comprehensive open-source LLMOps workspace that covers the full lifecycle of AI application development — from prompt engineering through production monitoring. The platform supports 15+ model providers including OpenAI, Anthropic, Google Gemini, Mistral, Groq, Together AI, Azure, AWS Bedrock, and self-hosted models via Ollama, enabling teams to switch between providers without code changes. The prompt playground allows side-by-side comparison of different configurations, while the evaluation system offers LLM-as-a-Judge assessment, 20+ pre-built evaluators covering semantic similarity, regex matching, and factual accuracy, plus custom Python evaluators for domain-specific requirements. Teams run evaluations through both the web UI for subject matter experts and the Evaluation SDK for programmatic CI/CD integration. The observability layer captures full trace visibility across complex agentic workflows, flagging quality issues like hallucinations and off-topic responses in real time. Human annotation workflows let domain experts review and annotate LLM outputs, feeding corrections back into the evaluation loop. The architecture supports Chain of Prompts, RAG pipelines, and multi-step agent workflows, integrating with frameworks like LangChain and LlamaIndex. Self-hosting deploys via Docker Compose with Traefik for routing, requiring only a clone, environment configuration, and a single docker compose command. On RepoCloud, deploy Agenta on a dedicated VPS with root SSH access, persistent storage for evaluation datasets and traces, and complete control over model provider credentials, all under the MIT license with no usage restrictions.

An AI agent that maps your attack surface, proves what is exploitable, and drafts the code fix: RedAmon is a red team for domains you are authorized to test. A six-phase recon pipeline runs subdomain, port, HTTP, and vulnerability scanners in parallel and merges every result into a Neo4j graph you can query in plain language. The agent works from a Kali sandbox with 100+ security tools, asks for human approval before risky steps, and can deploy a Fireteam of specialist sub-agents that investigate separate angles of one target at once. CypherFix triages each finding, then a code agent opens a GitHub pull request with the patch. AI Gauntlet attacks chatbots and LLM endpoints with prompt injection and jailbreak batteries, mapped to the OWASP LLM Top 10. TrafficMind records every HTTP request the tools send, with a searchable history the agent can replay. An Insights dashboard charts findings, CVE severity, and attack chains per project, and the settings page connects OpenAI, Anthropic, OpenRouter, Bedrock, or local Ollama and vLLM models. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Instant board updates, side-by-side card multitasking, and a five-level task hierarchy make 4ga Boards a fast, clutter-free Kanban workspace for teams tired of sluggish project trackers. Work organizes cleanly from top-level projects down into boards, collapsible lists, cards, and granular subtask checklists. You can switch between classic drag-and-drop Kanban columns and compact to-do list views with a single click. While editing a card description in the rich Markdown editor with colored text, you can still scroll, filter, and rearrange other cards on the board without losing unsaved changes. Every move, label change, due date update, or comment syncs live across connected browsers without page reloads. Collapsible lists and a retractable sidebar free up wide-screen horizontal space during sprint reviews. Teams migrating existing workflows can import boards directly from Trello JSON exports or CSV files and export backups on demand. Cards support file attachments, custom cover images, multi-member assignments, and @mentions with instant activity notifications. Authentication integrates with Google, GitHub, Microsoft, and custom OIDC single sign-on providers alongside role-based board privacy. The interface includes dark mode, full keyboard shortcuts, and localization across 16 languages. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Running your own mail server usually means assembling five services and praying over DNS records; LanQin Email ships the whole stack in one container. Readers switch between mailboxes, search, label, star, and file messages into folders, then compose with a rich-text editor that handles fonts, colors, code blocks, attachments, emoji, and scheduled sending. Contacts, signatures, inbox rules with automatic forwarding, sender blacklists, and mail statistics make it a daily client rather than a demo. Administrators run the postal side from the same panel: add domains and generate DKIM keys, follow the DNS record checklist the system verifies for you, create mailboxes, set delivery aliases and catch-all addresses, and audit every message on the server. Accounts sign in with passwords or OAuth single sign-on, protected by TOTP two-factor codes and bot checks, while permission groups cap attachment size, sending rate, and mailbox count per user. Users can even request their own mailbox and wait for approval instead of filing a ticket. For programs, an Open API with bearer tokens sends mail idempotently and reports delivered, bounced, complained, rejected, and deferred events back through webhooks. External Gmail and Outlook accounts can be aggregated over IMAP, and a client-configuration page shows every IMAP, POP3, and SMTP setting in one place. A multi-container layout remains for debugging the stack piece by piece. 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.

With 5,400+ GitHub stars and sub-millisecond response times that eliminate the need for dedicated caches entirely, TrailBase consolidates your database, API server, auth service, realtime subscriptions, and admin interface into a single Rust binary weighing under 40MB. The platform generates type-safe CRUD APIs automatically from your SQLite schema with configurable access control rules using SQL expressions, while realtime subscriptions push data changes to connected clients via Server-Sent Events. The embedded Wasmtime runtime executes custom server-side logic as WebAssembly components compiled from Rust, JavaScript, Python, or any language targeting WASI, enabling complex business logic without external services. First-class geospatial support through the in-house LiteGIS GEOS extension provides GeoJSON integration, spatial indexing via R-Trees, and query operators including @within, @intersects, and @contains for location-based applications. Client SDKs span JavaScript/TypeScript, Dart/Flutter, Rust, C#/.NET, Swift, Kotlin, Go, and Python — covering mobile, web, desktop, and IoT platforms. The admin dashboard offers visual schema editing, a data browser, Record API configuration, OAuth provider setup, user management, SQL query editor, ERD visualization, and server logs. Experimental PostgreSQL support (v0.28+) allows connecting to existing Postgres instances via connection string. Deploy via a single binary, Docker container, or the one-line install script across Linux, macOS, and Windows. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. OSL-3.0 licensed.

Point OBS at it, and the same live stream comes out in whatever protocol each viewer needs. Xiu is an open-source live media server that accepts publishing over RTMP, RTSP, and WebRTC WHIP, then redistributes every stream as RTMP, RTSP, HTTP-FLV, HLS, or low-latency WebRTC WHEP playback. Cameras and encoders pushing H.264, H.265, or AAC over TCP or UDP become browser-friendly HLS and HTTP-FLV without a separate transcoding tier, and GOP caching gets late joiners to a keyframe fast. Static push and pull relaying chains servers together: one origin ingests, regional nodes pull, and audiences play from the node nearest them; RTMP clustering covers larger fan-outs. Every live stream can also be recorded straight to HLS files, giving you an instant archive of broadcasts, lessons, and town halls. Token authentication guards publishing and playback, HTTP callbacks report stream start and stop events to your backend, and an HTTP API answers stream information queries for your own dashboards and automation. Operators shape ports, protocols, relays, and recording in one configuration file or with command-line flags, running a single binary that stays out of the way until the audience arrives. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Write standard SQL queries and watch Shaper turn them into interactive dashboards, scheduled reports, and customer-facing analytics widgets without maintaining a heavy business intelligence stack. Every query maps directly to a visual component through simple type casts like BARCHART, LINECHART, GAUGE, BOXPLOT, or DROPDOWN. Analysts can attach external PostgreSQL and MySQL databases, read Parquet, CSV, JSON, and Excel files straight from S3 object storage, or stream live events into the HTTP ingest API. Interactive filter controls let viewers slice metrics by date ranges, multi-select dropdowns, and dynamic parameter variables that automatically re-evaluate downstream charts. Teams version-control their entire reporting layer as plain SQL files in Git, making dashboard updates auditable in pull requests and simple for AI coding assistants to generate. Product engineers embed white-labeled analytics directly into customer web apps without iframes, issuing per-tenant JWT tokens to enforce row-level data isolation. Need scheduled deliverables for stakeholders? Configure SQL-driven background tasks that transform datasets on a cron schedule, send threshold alerts to Slack or Microsoft Teams, and generate downloadable PDF, PNG, Excel, or CSV reports. External collaborators can also view live metrics through password-protected sharing links. 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.

Perplexity's search experience without Perplexity: Vane deploys Perplexica, an open-source AI answer engine built as the self-hosted alternative. Instead of returning a page of links, it reads your question, searches the live web through the SearxNG metasearch engine, and composes a direct answer with cited sources. Retrieval quality comes from embeddings and similarity search: fetched pages are re-ranked against the query so the model answers from the most relevant passages rather than whatever ranked first. Two query modes cover different needs - Normal mode runs a straightforward web search, while Copilot mode generates multiple reformulated queries and actively pulls content from top matches for harder questions. Focus modes specialize retrieval for academic papers, YouTube, Reddit discussions, Wolfram Alpha calculations, or the general web. The answering model is your choice: OpenAI-compatible APIs or fully local LLMs such as Llama 3 and Mixtral through Ollama, which keeps queries entirely on your infrastructure. Because SearxNG pulls live results, answers reflect current information, and no search history is tracked.

Alma Relay is the relay you run yourself so your phone can reach the Alma on your desktop from anywhere, without port forwarding, a VPN, or a third party sitting in between. Your desktop dials out to the relay and keeps that connection open, and when you open the app on your phone, its requests travel through the relay to the desktop and the answers stream back the same way. Pairing happens with a QR code that carries the relay address, so switching to your own relay takes one fresh scan instead of manual setup on every device. New pairings encrypt the session end to end, so the relay routes encrypted traffic it cannot read, and the routing values it handles are one-way hashes that are never written to disk or logs. When your phone is locked, the relay can pass along the "reply finished" and "Alma has a question" notifications through Apple's or Google's push services, so you hear about finished work without staring at the screen. A live view of the desktop's browser can ride along too, with short-lived credentials issued for the media connection. Sharing the relay with a team works through per-person tokens you can revoke individually, and regenerating your connect code cuts off every paired phone at once. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Lurker keeps you present in every IRC channel you care about, holding your connections open around the clock and recording everything said so a retro, searchable web client can hand it all back whenever you return. Invite your friends and each person gets their own set of networks under one roof, while admins decide which networks members may join and which channels newcomers are pointed at. Nothing said while you were away is lost: the full history is searchable by nick, channel or network, and clicking a result jumps straight to that moment, whether it happened an hour or a year ago. The everyday annoyances are handled too, with drafts that follow you between devices, a highlight and ignore system that cuts noise, bookmarks and private notes on users, reactions, replies, and image uploads that are optimized, stripped of metadata and stored on your own disk or S3. If you prefer your old client, the built-in bouncer speaks the soju and ZNC dialects with SASL, network discovery, on-demand scrollback and read markers that stay in sync everywhere, and DCC file transfers with an XDCC queue still work. Optional companion containers generate inline link previews in isolation and keep your IRC connections alive across restarts of the main service. 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.

PenguinHarness turns a one-sentence description of the agent you need into a working app, then lets other agents tune it round after round until its benchmark score climbs. Nine self-improvement algorithms ship as plugins, including OPRO, APE, ACE, and AWM, and every candidate becomes a snapshotted version with its score recorded in an Evaluation Center. Seventeen ready-made benchmarks cover data analysis, repository fixes, workflow automation, and terminal science tasks. Agents read and act on web pages through a built-in browser panel or your own Chrome, and each agent can grow a hot-reloaded workbench page like a contract review desk with uploads and downloadable reports. Add a machine over ssh and conversations in that workspace run there, inside the same window. A Cost Center breaks down spend per run, trajectories show every turn on an execution timeline, and replies can carry forms, charts, and live widgets. An Agent API streams runs to outside apps, and agents can be reached from Feishu, QQ, Telegram, or WeChat. 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.

Run a whole fleet of AI agents as managed services, each with its own model, memory, schedules, and sandboxed workspace, from one admin console. Create an agent, point it at OpenAI, Anthropic, OpenRouter, or any OpenAI-compatible endpoint, store its API keys encrypted, and it is ready to chat in the browser. People sign in with a device key and get a session list, streaming replies, and file attachments. The Agents table shows status, last activity, sessions, errors, and token spend for the past 24 hours, and the Stats page tracks users, sessions, events, and total tokens. Cron or one-shot schedules let an agent send a daily brief, and each run is logged. Owner, user, and guest roles control who may talk to an agent or change it, and policy and approval tabs gate risky tool calls. Skills and MCP servers are registered once and enabled for one agent or the whole fleet, and instructions can be pushed to every agent at once. Sessions, memories, and secrets sit in PostgreSQL, so state persists across gateway restarts. Use it for an internal agent platform, a support desk, or one agent per customer. 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 34,000+ GitHub stars and a v1.5 release driven by 36 merged community pull requests, DeepTutor from Hong Kong University's Data Science Lab delivers a full agent-native learning workspace that goes far beyond chatbot wrappers. Eight integrated surfaces — Chat, Deep Solve, Quiz Generation, Deep Research, Math Animator, Co-Writer, Book generation, and Mastery Practice — share a unified context so the objective follows the learner, not the tool. The platform's three-layer memory architecture (L1 working, L2 session, L3 long-term) makes personalization inspectable rather than opaque, letting users see exactly what the system remembers and why. Knowledge retrieval operates across five pluggable engines — LlamaIndex with FAISS vectors, PageIndex for page-level citations, GraphRAG for knowledge-graph traversal, LightRAG for local or server-offloaded retrieval, and linked Obsidian vaults — with document parsing via MinerU, Docling, markitdown, or PyMuPDF4LLM. Partners extend the tutoring brain to 15+ messaging platforms including Slack, Discord, Telegram, Matrix with E2EE, and Mattermost, each carrying private memory with branch, resume, and replay capabilities. Subagent integration brings Claude Code, Codex, Gemini, and Kimi directly into learning sessions. The system supports 30+ LLM providers from OpenAI and Anthropic to Ollama for fully local operation, with multi-user isolation, admin controls, and a full CLI interface. 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.