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How to deploy self-hosted AI teammates for your company with Agenticos

Run the quickstart to get a working agent in a shared team chat on your own server.

Short answer: Check prerequisites with curl -fsSL https://raw.githubusercontent.com/vstorm-co/agenticos/main/scripts/quickstart.sh | bash -s -- --check; then install with the same script without --check; Enter a model provider, key, login and organization name. All steps.

Remote script. The quickstart pipes a script into bash; the README says to read it first.

Credentials. The installer stores your model provider key in the deployment.

Who it is forAn operations lead asked to pilot AI agents without sending data to a SaaS.

The problemHosted agent platforms put company data on someone else's servers.

The outcomeA running deployment at localhost:3000 with a working agent.

What you need first

  • Docker Compose
  • A host with 4 vCPU and 8 GB RAM
  • A model provider key, or Ollama or vLLM

Steps

  1. Check prerequisites with curl -fsSL https://raw.githubusercontent.com/vstorm-co/agenticos/main/scripts/quickstart.sh | bash -s -- --check
  2. Install with the same script without --check
  3. Enter a model provider, key, login and organization name
  4. Open http://localhost:3000 and sign in

Prompt for your agent

Deploy vstorm-co/agenticos with the quickstart on <host>, sign in, and ask the default agent a question. Confirm the run is recorded.

Caveat. On Windows run it inside WSL2 with Docker Desktop's WSL2 integration.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for vstorm-co/agenticos and "Deploy self-hosted AI teammates for your company"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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