GPUStack is a control plane that turns a pile of GPU servers into a model-serving platform, where you pick a model from a catalog and the system decides which machine, engine, and settings run it. Deploy language, embedding, reranker, speech, and image models from the Catalog page, then watch each replica move from downloading to Running on the Deployments screen. A built-in Playground offers chat, side-by-side model comparison, embedding and rerank testing, audio, and image generation and editing, so a model gets judged before it is wired into an app. Add GPU workers with a generated Docker command, register a Kubernetes cluster, or provision cloud machines, and manage several clusters from one server. Create API keys for teammates, apply access control, and read token, GPU-hour, and storage usage by user, key, or model. Auto Tune benchmarking searches for the highest throughput that still meets your latency targets. GPU Instances hand out SSH-accessible machines for fine-tuning and interactive work. Single sign-on works through OIDC or SAML. 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.

Describe a website, slide deck, document, 3D scene, or animation, then shape it with chat and a full visual editor in your own workspace. Templates give every project a head start, and a short brief about the goal and audience steers the first draft. The editor offers layers, flex and grid layouts, reusable design systems with palettes and fonts, component libraries, and live human and agent editing on one versioned document. The 3D mode handles materials, lighting, camera, rigging, and morph targets, and the motion tools animate bones, skins, and clips. Bring your own keys for OpenAI, Anthropic, Gemini, OpenRouter, or DeepSeek to generate text, images, speech, music, and video. Finished work exports as HTML, SVG, PNG, PDF, PowerPoint, WebM, GLB, or a React prototype, and snapshots can be shared publicly. Agents connect through REST, an authenticated MCP endpoint, or a command line tool, and an activity view records provider calls and usage. Accounts use email and password, with optional GitHub sign-in. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Watch every coding agent you run, on every machine, from one live browser dashboard. Sessions appear as cards, a sortable list, or a graph, grouped by machine or project, each showing its plan and current step, subagents, model and effort, context fill, git branch, and cost. Anything waiting on you, like a permission, a question, or a plan to approve, rises to a Needs you panel with the longest wait first, and you can answer it from the page or in the terminal. A Problems panel flags sessions that are stuck, failed, or colliding on the same file. The Plans board sorts every plan step into pending, in progress, review, blocked, and done. A session page adds a timeline of loops and subagents, changed files, and token and context charts. Spend is broken down by model and machine, and plan windows show how close each provider is to its limit. History keeps ended sessions by day, a wall view suits a spare screen, and browser alerts fire when a session needs you. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Point every coding agent and chat client at one self-hosted gateway, then choose which model answers from a single browser console. Add providers by preset or custom OpenAI-compatible URL, or sign in with the subscriptions you already pay for. Routing groups bundle several models into one name and move to the next member when a quota runs out, so the calling agent never sees the error. Create a gateway key per client, cap each with daily token or cost budgets, restrict its models, and watch usage counted separately. The Usage pages chart tokens, cost, request counts, cache hit rate, and a yearly heatmap, split by model, provider, or agent, with CSV export. A Routing view replays how each request was routed, with timing for masking, connecting, and the vendor. Masking swaps passwords, API keys, and tokens for placeholders before a prompt leaves your server and restores them in the answer. The browser page is protected by a key you set at launch. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

One self-hosted admin console runs a team of AI agents you can reach by voice, chat, webhook, or schedule. Each agent gets its own model backend, system prompt, memory, tools, and voice, with OpenAI, Anthropic, Gemini, Ollama, or any OpenAI-compatible API behind it. A visual flow editor chains agents with routers, joins, loops, parallel fan-out, templates, and small code blocks, so a question can be sorted and answered by the right specialist. Every run is recorded as a step-by-step timeline you can open and read, and conversations are browsable per client. Connect tools through the Model Context Protocol, keep long-term memory in PostgreSQL, and store API keys as secrets that models only ever see as placeholders. Voice runs on the server with wake word detection and speech models, and clients cover a voice web app, Telegram, Discord, Slack, webhooks, and cron jobs. One password-protected console manages every agent, flow, and client. 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.

Put a one-click approval gate between your AI agents and anything destructive or expensive. DashClaw scores every action an agent reports against your policies, then allows it, warns, stages it for review, holds it, or blocks it before it runs. Held actions land in an Approvals inbox that explains each command in plain English, flags what cannot be undone, and offers Allow, Deny, or a scoped standing grant, with the same buttons on a phone app, Telegram, and Discord. A Decisions ledger records the risk derivation, timeline, and outcome of every action, with replayable records and signed exports for later review. Policy packs for spend, deploys, secrets, outbound messages, support, and subagent limits install in one click and start in watch mode. Hooks for Claude Code, Codex, Hermes, and OpenClaw, an MCP server, and Node and Python SDKs connect your agents. Overnight coding runs stay supervised without anyone staying awake. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Hand your security alerts to a team of AI specialists and keep the final say on every action. Argus pulls events from cloud, identity, code, endpoint, and Kubernetes sources, runs fifteen detection rules, and turns matches into deduplicated findings enriched with CISA KEV and EPSS scores. Nine specialist agents hunt for evidence, build timelines, estimate blast radius, and propose fixes, but their only write path is a pending request that waits for human approval. Response playbooks can block an attacker or isolate a laptop through a catalog of 27 typed actions, starting in shadow mode with dry runs, caps, automatic rollback, and a tenant kill switch. Plant canary tokens aimed at rogue AI agents, replay eight simulated agent-driven attacks, and route OpenAI and Anthropic traffic through a gateway with model allowlists and budgets. Every step is written to a signed audit chain. A self-hosted command center with roles, TOTP sign-in, and Slack approvals fits small teams that have no SOC of their own. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Give your AI assistant a name, a memory you can actually inspect, and a permanent seat on your own server. OhMyBuddy has two sides that share the same models and tools. The Buddy side keeps one ongoing conversation, learns your preferences, and shows a receipt under any reply that saved something, so every memory can be reviewed, edited, or undone. The Workspace side opens real project folders with threads, streaming tool calls, file diffs, side chats, and a branching history view. Add scheduled tasks, an artifacts library, and a media lab for image, video, and speech generation. Connect extensions, MCP tools, a browser, and subagents when a job needs more hands. Sessions live on the server, so a laptop, a tablet, and a phone home screen all continue the same chat, with notifications when a reply finishes. Bring Claude, GPT, Gemini, DeepSeek, or any OpenAI-compatible relay, and protect the instance with an access token. Keep a personal AI on hardware you control, reachable from every device you own. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. ISC licensed.

See exactly what your documents look like before a retrieval pipeline swallows them. Chunky puts the original PDF next to the converted Markdown with page-aware scrolling, so broken tables, scrambled columns, and stray artifacts are visible at a glance. Pick a converter, edit the Markdown by hand, then split it into color-coded chunks you can edit, delete, or enrich one at a time. Compare two converters on the same pages in a side-by-side dialog to find which one handles your layouts best. Try token, recursive, sentence, semantic, table, code, and heading-based splitters with adjustable size and overlap, and save the chunk sets that work. Optional model-powered enrichment adds titles, one-sentence context, summaries, keywords, and retrieval questions to each chunk. Process many documents in one batch and export everything as a ZIP. Judge chunk quality by eye, not by guesswork, before any of it reaches an embedding model. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Build an AI twin that has to show its homework. Agent-Me answers questions from a folder of Markdown notes you control, and every reply arrives with the exact source excerpts behind it. Pick Standard Q&A for a direct grounded answer, Role-based multi-agent to watch a planner, researcher, critic, and writer hand work to each other, or Verified multi-agent to add a final check on citation paths and answer metadata. When the notes do not contain an answer, the critic blocks the draft and the app says so instead of inventing one. Press Compare workflows to run the baseline and verified pipelines on the same question and read the results side by side. Download a sanitized run record for any collaboration, then open it later in the browser to review the trace without re-running anything. The interface speaks nine languages, and the default mode never calls an outside model, so private notes stay on your server. Swap in your own documents and test supported, unsupported, and adversarial questions to see exactly where an assistant stays grounded. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Find out how easily your chatbot can be talked into misbehaving before a stranger on the internet does. Agentic Security points a library of attack prompts at any LLM endpoint you can describe in a few lines of HTTP, then reports which attack families got through. Paste a request template with a marker where the attack goes, press Verify Integration to confirm the endpoint answers, and start the scan. Pick from jailbreak corpora on Hugging Face, obfuscation mutations like Base64, ROT13, mirrored words, and scrambled text, or drop your own CSV of prompts into a folder. Presets cover OpenAI, DeepSeek, Groq, Gemini, Claude, Azure, and custom APIs. Set a token budget, switch on concurrency, and watch a per-module table of failure rates and estimated cost fill in live. Download failed prompts as a CSV, export the full log, or generate a config and run the same scan as a CI gate with failure thresholds. Re-run the same scan after every model or system prompt change to spot regressions early. 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.

Chat with your own local language models from a clean, fast browser interface. Ollama GUI gives every model on your Ollama server a proper home: streaming replies you can stop, regenerate, or edit, with each edit saved as a version you can flip back to. Reasoning models show their thinking in a collapsible block, and you pick between thinking on, off, or an effort level. Attach images for vision models or drop in text and code files, and answers render with highlighted code, tables, and math. Pull models from a searchable catalog with live progress, check their capabilities and context length, unload them from memory, or delete them in a click. Chats are grouped by date, pinned, archived, renamed, titled automatically, and searched across every message from a command palette. System prompts and generation settings apply globally, per model, or per chat. Light and dark themes, locale-aware dates, and JSON or Markdown export round out the daily routine. Run one shared front end for a whole team or homelab, and every browser keeps its own private history. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Every AI project you build in RESTai becomes an endpoint that any app can call over plain HTTP. RESTai gives you a browser dashboard where each project gets its own model, system prompt, tools, and chat playground. Build knowledge-base assistants over uploaded files and synced web pages, ReAct-style agents that call MCP servers, or drag-and-drop block projects that need no model at all. Connect Ollama, OpenAI, Anthropic, Gemini, vLLM, Azure, Bedrock, or any OpenAI-compatible endpoint, and let teams share the ones you approve. Daily charts follow tokens, cost, and latency per project, with rate limits, guardrails, prompt version history, and evaluation runs for quality tracking. Teams, roles, two-factor sign-in, white-label branding, and an audit trail cover administration. A one-line chat widget embeds a project on any website, and connectors reach Telegram, Slack, and WhatsApp. One install can serve several branded assistants and bill each team separately. 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.

Turn a plain business request into a finished workflow, with a human sign-off on anything risky. CUGA is an agent harness you run on your own infrastructure, with a browser workspace where you build agents, test them beside a draft chat, and publish a versioned configuration when it behaves. Connect tools through MCP servers or OpenAPI specs, then write five kinds of policy: intent guards, playbooks, tool guides, tool approvals, and output formatters. A supervisor agent can route work to specialists that each carry their own tools and instructions. The chat workspace keeps conversation threads, uploaded files, and a knowledge panel for cited answers from company documents. Event Studio runs watchers on cron schedules, polling, or push triggers, with run history showing tools used and results. Memory records task guidance and user preferences, shows where each came from, and lets users switch it off or forget items, and administrators set retention rules. OIDC sign-in separates chat users from managers. Point it at any OpenAI-compatible endpoint, including a private inference server. Operations teams, internal tooling groups, and platform engineers can automate CRM reports, document review, and recurring briefs without sending data outside their boundary. 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.

Ask for a recycling reminder from your phone on Sunday and have a research report waiting by Monday, without handing your data to a subscription service. PocketPaw is a personal agent you host yourself, reachable from the browser dashboard or the chat apps you already use, including Discord, Slack, WhatsApp, Telegram, Signal, Matrix, Teams, and Google Chat. Pick a backend for the work: Claude Agent SDK, OpenAI Agents, Google ADK, Codex CLI, OpenCode, or Copilot SDK, then point it at a cloud key or a local Ollama model. Over fifty tools cover browsing, web search, files, shell commands, OCR, voice, image generation, and delegation to helper agents. Reminders and scheduled intentions run on their own, and memory keeps long-term facts and compacts old sessions. Identity files shape the agent's tone and instructions, and a skills library adds new slash commands. A guardian model reviews tool calls, with injection scanning, plan mode approvals, tool profiles, and an audit log for oversight. Analytics show cost, latency, and traces against monthly budget caps. Memory, tool logs, and cost traces all live on your own 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.

One chat window, every model you already pay for, and a history that stays in your own browser unless you decide otherwise. Neo Chat connects to Google, OpenAI, Anthropic, and any OpenAI-compatible gateway, so switching models mid-project takes one click. Agent mode runs multi-step tool workflows, and Deep Research drafts a plan for approval before producing a cited report that can be resumed if it stops. Attach files, build a knowledge base for retrieval, and let memory carry preferences between conversations. Browse a market of ready-made assistants and text skills, add OpenAPI plugins or remote MCP servers, and search the web through a configurable service. Answers render Markdown, math, diagrams, and charts, plus editable artifacts and interactive checklists, quizzes, flashcards, and calculators. Voice input and read-aloud sit beside the composer, and optional encrypted sync moves settings between devices. An access password can protect a shared deployment, and a health page checks that everything is configured. Switch models mid-conversation, keep one history, and stop juggling a tab for every provider. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Somewhere between the third coding agent and the fifth model subscription, nobody can say where the tokens went. CPA Usage Keeper keeps the receipts for a CLIProxyAPI gateway, saving every request locally with scheduled backups so history survives restarts. The Overview page shows requests, success rate, tokens, cache hit rate, and estimated cost with sparklines and a calendar heatmap, and Realtime plots time to first token against total latency and shows rolling cache levels and model speed. Analysis breaks usage down by API key, model, credential, or provider with donut charts and ranked lists. The Request Events log filters by model, source, and status, adjusts its columns, and exports records. Credentials cards show success rates, remaining five-hour and weekly quotas, priorities, and enable switches, and quota history charts how many tokens and dollars each percentage point costs over a cycle. Individual API keys can be given a read-only usage view. Deployment uses a Docker Compose file that bundles CPA with Keeper or runs Keeper beside an existing gateway, and the interface switches between English and Chinese and between light and dark themes. Check the dashboard before the invoice arrives and see exactly who spent what. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Ask for a day in San Francisco and get a routed map, photographs, and an editable itinerary instead of a wall of text. Open Intelligent UI recreates the interactive answers introduced in ChatGPT, with the model streaming a layout that the app renders live from a library of 55 components. A request for a phone comparison returns product cards and a side-by-side table, a money question returns sliders that recalculate loans and savings as they move, and a language question returns flip cards followed by a scored quiz. Dashboards offer date-range switches, KPI cards, area charts, ranked source bars, and sortable page tables, and maps add category filters, pins, expandable stops, and street routes. Fifty-nine built-in functions let each answer compute with its own state, so splits, schedules, and unit conversions update without another model call. Chat history keeps earlier answers, light and dark themes are one click away, and suggestion tiles start common requests. A development gallery shows worked examples, including a bike assembly guide, a retirement calculator, and a small arcade game, all without calling a model. Models connect through OpenUI Cloud, any OpenAI-compatible endpoint, or local Ollama, so keys and data stay in your control. Product teams, designers, and developers get a working reference for generative interfaces. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.