An AI Operating Layer.On Infrastructure You Control.
A Claude-Code-caliber coding agent that lives on your own servers, talks through the channels you already use, and gets measurably smarter and cheaper to run over time -- instead of a stateless chat window you re-explain your project to every morning.
Bring your own API key. VibeAI OS never sees or marks up your model spend.
The dashboard, live.
Option 1
Managed Hosting
We run VibeAI OS for you on a dedicated tenant server. You get a licensed instance, a support relationship, and none of the ops work.
Option 2
Licensed Self-Hosted
The same binary on your own infrastructure under a recurring license. Full control -- your data never leaves your box. A $20/mo VPS, your Mac, or a spare machine under your desk.
The core idea
A harness.Not a chatbot.
Most AI coding assistants are a thin UI around a single model call. VibeAI OS pushes intelligence into system state, not model weights -- every turn can pass through:
Deterministic tiered routing
A versioned routing table classifies each prompt to a cheap tier or a frontier tier by pattern -- no extra LLM call just to decide which LLM to use.
Two-layer caching
An exact cache, then a semantic cache with local embeddings -- both checked before any paid model call happens, where it's safe to do so.
Write verification
After the agent edits a file, a deterministic checker validates the write before the agent is told it succeeded -- catching failures before they compound.
Self-healing resident agent
A background miner spots recurring failure patterns and proposes structural fixes -- applied in an isolated worktree, gated by your real build and tests, opened as a PR. Nothing auto-merges; a human always approves.
Lessons memory
The agent persists and recalls lessons tagged to context, so a mistake gets corrected once instead of every session.
Skills store
Reusable, versioned procedures the agent has learned or you've written -- distinct from one-off chat context.
Credential pool failover
Register multiple API keys per provider; the harness rotates them and automatically cools down a rate-limited key instead of failing mid-task.
Spend tracking and budgets
Every call is logged against a real per-model pricing table -- see exactly what a session cost, and cap spend if you want.
None of this requires you to think about it. It's the difference between an LLM with tools and a system that gets more reliable and cheaper the more you use it.
Talk to It However You Already Work
The same agent, the same project context, the same memory -- reachable from every channel you use.
Telegram, Discord, Slack
A real bot with long-running conversations -- not a webhook toy with one-shot replies.
Terminal
Interactive sessions with `aios chat`, or scriptable one-shot calls that still get the full harness -- perfect for CI and cron.
Web dashboard
Chat, a full operator console with shell passthrough, and a Vibe Code panel -- all backed by the same session store.
Voice
Speak to it and hear it back, authenticated with a signed challenge-response handshake -- not a shared secret in a query string.
Multi-bot fleets are first-class, not a hack
Run several independent agent profiles side by side on one box -- each with its own bot identity, default project, and credentials. One Telegram bot on your day job's repo, a different Discord bot on your side project, and they never bleed context into each other.
One dashboard, every channel your team already uses.
A Real Coding Agent, Not a Q&A Bot
The tool surface is what makes it an agent rather than a search box:
- Shell execution, file read/write, structured multi-file patching
- Web search, page extraction, and codebase search
- Sandboxed code execution and vision/image analysis
- A persistent task list it manages across sessions
- Scheduled jobs it creates and runs autonomously, results delivered to your chat
- A built-in kanban board for multi-agent coordination
- Delegation -- hand a sub-task to a separate Claude Code invocation, or take a second, more careful pass through its own harness
- MCP client support -- connect any Model Context Protocol server and its tools appear in the toolbox automatically
Ten Providers. One Config.
Provider-agnostic on purpose: Anthropic gets a fully native integration with prompt caching and streaming; everything else rides a shared OpenAI-compatible client. Switch providers, or run several at once, without re-architecting anything.
Operate It Like Production Software
Because it is. Agent infrastructure treated as infrastructure, not a science project.
One-command provisioning
provision.sh stands up a hardened Linux server: nginx, TLS, sandboxed systemd units, auth in front of the dashboard -- idempotent by design. A macOS variant does the same via launchd.
18-check acceptance gate
A fresh install isn't called live until it passes all eighteen end-to-end checks that exercise it the way a real user would.
Backup and migration
Per-profile export for a single user's data, plus whole-instance encrypted migration that moves everything to a new machine in one command.
Real licensing, real cryptography
Licenses signed with ed25519, graceful degradation on expiry -- dashboard goes read-only, you never lose access to your own data. Owner lockout is impossible by design.
Hooks for governance
Lifecycle hooks can veto or rewrite what the agent is about to do. Every hook requires explicit operator approval, and a broken hook fails open, never freezing your agent.
Open skills marketplace
Install reusable agent skills straight from a GitHub repo or URL, versioned with a lockfile. No walled garden, no marketplace fee.
Why Teams Choose VibeAI OS Over a Hosted Chat Product
Honest scope note: a few backend capabilities currently ship CLI/API-only -- the credentials-pool UI, whole-instance migration, and the kanban board's visual view. Fully functional today through CLI and REST; dashboard surfaces are on the near-term roadmap. We'd rather tell you that up front than have you hunt for a button that isn't there yet.
Your Agent. Your Box. Your Rules.
Tell us whether you want it managed or self-hosted, and what you build. We'll have you talking to your own VibeAI OS instance in minutes, not sprints.
Talk to Us About VibeAI OS