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ServerManager.ai: SaaS Linux fleet management (open source agent)

BharatBBharatB Member, Patron Provider
edited June 6 in Offers

Along side https://hypervisor.io/ we have been building this for a while, thought the LET crowd might find it useful. If you manage more than a handful of VPSes, this saves a lot of SSH hopping.

How it works:

Install our open source Rust agent on any Linux box with one curl command. Everything else is managed from our dashboard. No self-hosting required.

What you can do from the dashboard:

Real-time telemetry (CPU, RAM, disk, load), remote command execution with allowlist enforcement, and an interactive browser shell with a full PTY terminal. Every action is logged with an audit trail.

The agent:

Written in Rust. Sub-50ms command dispatch. Self-updating with Ed25519 signature verification and staged rollouts. mTLS connections, JWT auth, certificate fingerprinting, rate limiting. Open source.

AI features (optional):

Connect an LLM provider and you unlock structured plans for fleet operations, bulk doc generation per server, predictive monitoring with anomaly forecasts, and an AI chat that executes fleet commands inline with approve-all. Bring your own keys. Supports 15 platforms.

Pricing:

Free tier available. No credit card to start. Deploy agents in minutes. But agents start at $2/mo per agent

https://servermanager.ai

Happy to answer questions. The agent is open source if anyone wants to poke around. Will post github link soon.

Comments

  • reikuzanreikuzan Member

    how secure is it compared to those ai prompt "Make My VPS server Secure" type tutorial?

    Thanked by 2gbzret4d zejjnt
  • BharatBBharatB Member, Patron Provider

    @reikuzan said:
    how secure is it compared to those ai prompt "Make My VPS server Secure" type tutorial?

    Basically you will get commands twith explanation to what its suggesting and which ones you wanna approve, apart from that we have loaded it with alot of finetuned vectorless rag structured information layer aligning towards hosting/devops/security as well so no matter which llm you use it will utilise our layer

  • ailiceailice Member

    Looking forward of release source code

    Thanked by 1zejjnt
  • SnyppiSnyppi Member

    @BharatB said: Free tier available... But agents start at $2/mo per agent

    >
    The interface currently looks unimpressive: unintuitive buttons, hard-to-read text. I understand there's no functionality yet, other than viewing the status. And I'd like to see the IP addresses of each server. The free mode only offers 5 agents, with each additional agent costing $2, which is a bit much for me, especially if I have my own AI. It's unclear how it differs from other open-source free metrics tools, like Kuma. And what's the load on the VPS?

  • BharatBBharatB Member, Patron Provider

    UI was intentionally made to look monochrome, it was never the target, alot of things are coming soon which will make it worth your time, give the project some time before you make a decision is all I can say at the moment. @Snyppi also its not only about having your own AI, it's about what information is driving that AI to give you a better experience.

  • @BharatB said: remote command execution

    @BharatB said: Connect an LLM provider

    What could go wrong?

    Thanked by 2raindog308 OhJohn
  • NeoonNeoon Community Contributor, Veteran

    At this point, you probably could install llama.cpp, take a decent LLM like Qwen 3.6.
    Give it a decent prompt, to do that, on your system.

    The idea of some company, getting root shell access, to a bunch of my machines, naaaaah bro.

    Thanked by 2raindog308 zejjnt
  • stablecloudstablecloud Member, Patron Provider

    When are you sharing the GitHub link?

  • BharatBBharatB Member, Patron Provider

    @stablecloud said:
    When are you sharing the GitHub link?

    https://github.com/hypervisor-io/smagent

  • BharatBBharatB Member, Patron Provider

    Totally fair instinct, honestly if you want to wire up llama.cpp + Qwen yourself, feel free to do so, the LLM is the least interesting part of this product. The best part is the plumbing around it: fleet-wide telemetry, alert state machines, patch compliance across 50 boxes, and getting an agent architecture going.

    On the root access point, a few specifics:

    • The agent never listens on any port. All traffic is outbound, one WebSocket to the gateway, HTTPS to the API. Nothing to scan, nothing to exploit inbound.
    • Every command is a signed envelope (Ed25519 over canonical JSON), and anything older than 30 seconds is rejected. The agent ignores anything that doesn't verify.
    • The agent enforces its own command allowlist/blocklist from a config file on your box. We can't override it from our side. You decide what it's allowed to run.
    • Package inventory is read-only (apt/dnf/zypper queries). The agent never installs anything on its own.

    The AI provider is pluggable. Point it at any OpenAI-compatible endpoint, including your own llama.cpp server. Local Qwen analyzing your fleet, our orchestration. Best of both worlds.

  • NeoonNeoon Community Contributor, Veteran

    @BharatB said:

    Totally fair instinct, honestly if you want to wire up llama.cpp + Qwen yourself, feel free to do so, the LLM is the least interesting part of this product. The best part is the plumbing around it: fleet-wide telemetry, alert state machines, patch compliance across 50 boxes, and getting an agent architecture going.

    On the root access point, a few specifics:

    • The agent never listens on any port. All traffic is outbound, one WebSocket to the gateway, HTTPS to the API. Nothing to scan, nothing to exploit inbound.
    • Every command is a signed envelope (Ed25519 over canonical JSON), and anything older than 30 seconds is rejected. The agent ignores anything that doesn't verify.
    • The agent enforces its own command allowlist/blocklist from a config file on your box. We can't override it from our side. You decide what it's allowed to run.
    • Package inventory is read-only (apt/dnf/zypper queries). The agent never installs anything on its own.

    The AI provider is pluggable. Point it at any OpenAI-compatible endpoint, including your own llama.cpp server. Local Qwen analyzing your fleet, our orchestration. Best of both worlds.

    What's the default black/whitelist?
    I assume its by default, pretty open?

    The thing I don't like is the centralized architecture.
    Lets say, your guys get hacked and since you essentially have nearly unrestricted shell access to a few hundreds if not thousands of machines, at some point.

    Makes you a juicy target.
    How do you protect yourself against this?

    Do you put each account on their own instance?

  • BharatBBharatB Member, Patron Provider

    Never going to deny that it's not a possibility, and yes by default the allow list is wide open unless you configure it on your own, I can add nothing more constructive or defensive to this argument at this point of time. That being said, we have taken as many precautions as possible to eliminate vectors of getting attacked. In near future we will most likely release a self hosted licensed version similar to https://hypervisor.io/ just for peace of mind I guess.

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