AI assistants and search decision

exoclaw

A technical user can self-host OpenClaw (or run nanoclaw) in a weekend and reproduce ExoClaw's core value (private agent + messaging integration); ExoClaw mainly adds managed provisioning, credits, monitoring, and support.

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You pay

$49/mo

$588/yr

Read off the official pricing page.

You’d pay instead

$20one-off14 h to build

$50/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 2 seats.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All exoclaw alternatives, with the arithmetic →

What a replacement has to do

  • Run an OpenClaw agent on a single dedicated VPS, integrate one LLM provider, and connect one messaging channel (Telegram) for chat-driven automation.

What it still won’t have

  • Managed private dedicated server (they provision and isolate the server for you)
  • Monthly bundled AI credits included in ExoClaw subscriptions
  • 1-minute turnkey deployment flow and zero-CLI onboarding
  • Real-time monitoring UI and built-in file browser
  • Email support and team workspace features

What remains hard

  • Execution qualityEverything is ready and waiting for you. We set up the server, the software, and the secure connection. You just press go.
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 2 seats.

Paid seatsseats

Money you would actually spend

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

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What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a self-hosted OpenClaw deployment on a single Ubuntu 22.04 VPS using Docker Compose. Core features in scope: 1) deploy the OpenClaw container, 2) secrets management for one LLM provider (OpenAI/Anthropic/Gemini) via environment variables and a Vault-like file, 3) Telegram bot integration with webhook handling and message-to-agent roundtrip, 4) automated startup and update scripts (systemd unit or docker-compose up with rollback), 5) lightweight monitoring (Prometheus node exporter or simple health endpoints) and a basic static-file browser for agent outputs. Out of scope: building a full web UI for team workspaces, multi-tenant control plane, and managed billing. Include error handling for failed model calls, webhook retries, and container crashes; provide unit/integration tests for deployment scripts and webhook handlers; document install and restore steps.
How we checked4 sources · 3/3 runs agreed · evidence score 93

How the score was reached

  • Build verdict base78
  • An open-source build was found+5
  • 4 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score93

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat quoted from the page