Slack · Teams · Outlook
Workplace AI that never leaves your infrastructure.
Ovrion answers Slack messages, Teams chats, and Outlook drafts using a model you run — on your own hardware, behind your own firewall. Nothing is proxied through us. There is no us in the request path at all.
How it works
One image. Your model. Your network.
Ovrion is a container you run yourself, in front of any OpenAI-compatible backend you already have — LM Studio, Ollama, vLLM, llama.cpp server. It coordinates workers, exposes a gateway, and answers workplace webhooks locally.
- Pull the imageOne published artifact:
ghcr.io/finsavvyai/lunacluster, scanned and tagged per release. - Point it at your modelAny OpenAI-compatible endpoint on your network — the proxy worker forwards
/v1/chat/completionsto it. - Wire up a webhookRegister the Slack/Teams request URL, or call the Outlook endpoints directly — all answered by your gateway, on your box.
- Check the audit trail
/sovriq/audit/egressreports whether prompt content ever left the perimeter. It's a live endpoint, not a slide.
Integrations
Meet your team where it already works.
Every integration is answered by your own gateway. No integration in this list has a code path that sends a message on your behalf without you calling it explicitly.
Slack
Mentions, DMs, slash commands, and interactive buttons — all HMAC-verified against your signing secret. Bot messages are ignored automatically so it never talks to itself.
Microsoft Teams
Plain replies or Adaptive Cards, bot-added greetings, and automatic @mention stripping — authenticated with a shared webhook secret you control.
Outlook
Draft a reply, summarize a thread, or leave a tentative RSVP note via Microsoft Graph — every path is read-or-draft only. Sending mail on your behalf is not implemented, anywhere.
Deploy
Pull it. Run it. It's yours.
No account, no signup, no telemetry callback. The full setup — including wiring up Slack/Teams/Outlook — is documented in the repo.
docker pull ghcr.io/finsavvyai/lunacluster:latest
# run master, worker, and gateway (see docs/guides/DOCKER_IMAGE.md)
docker run -d --name lunacluster-gateway \
-p 8080:8080 \
ghcr.io/finsavvyai/lunacluster:latest \
python3 -m src.api.gateway --host 0.0.0.0 --port 8080
# verify it's actually running locally
curl http://localhost:8080/health