Belong AI Deploy
Overview
Belong AI Deploy sets up a personal AI assistant that runs on your own cloud account. It connects to your messaging apps — Telegram, WhatsApp, or Slack — so you can chat with your agent from anywhere. You stay in control: it runs on your infrastructure, using your own AI subscription.
Get started at aideploy.co.
The 3-login deploy
- Sign in with DigitalOcean — one click, your server is ready
- Sign in with ChatGPT — one click, your AI is connected
- Connect Telegram — paste one token
- Click Launch — your agent is live in about 60 seconds
See the Quick Start for the step-by-step walkthrough.
How it works
flowchart LR;
subgraph You[Your devices]
D[Phone / Laptop<br/>Tailscale]
end
subgraph Cloud[Your cloud server]
DASH[Dashboard]
AG[AI Agent]
GW[Gateway]
DB[(Private memory DB)]
AG --- GW
AG --- DB
DASH --- DB
end
M[Telegram / WhatsApp / Slack]
D -- private network --> DASH
M -- optional webhooks --> GW
style You fill:#e1f5fe
style Cloud fill:#f3e8ff
- Your dashboard and agent are private — reachable only through your own Tailscale network, not the public internet.
- Messaging webhooks are optional and, when enabled, only open a single HTTPS route for the channel you chose.
- Your agent stores long-term memory in its own private database, so it remembers context across conversations.
Supported providers
Cloud
| Provider | Auth | Speed |
|---|---|---|
| DigitalOcean (default) | OAuth | ~10 sec |
| Google Cloud | OAuth | ~15 sec |
| Microsoft Azure | OAuth | ~15 sec |
| AWS | API key | 2–5 min |
| OVHcloud | Signed API token | 2–5 min |
| Scaleway | API key | 2–5 min |
See Cloud Providers for details.
AI
| Provider | Auth | Default model |
|---|---|---|
| ChatGPT (default) | OAuth | GPT-5.5 |
| Claude | OAuth | Claude Opus 4.8 (1M) |
| Gemini | API key | Gemini 3 Deep Think |
| Kimi | API key | Kimi K2.6 |
Image generation and voice-note transcription ship preconfigured. See AI Providers.
Messaging
| Platform | Setup time |
|---|---|
| Telegram (default) | ~30 sec |
| Slack | ~3 min |
| ~5 min |
See Channels.
What you can do after deploy
Once your agent is live, open the management dashboard over your private network to:
- Chat & review — read every conversation in a threaded view, search, and star important ones
- Automate with tasks — trigger actions on keywords, schedules, or webhooks (welcome greetings, FAQ auto-replies, daily summaries, and more)
- Tune your agent — set its personality/system prompt, switch models, and manage conversation cleanup
- Run more agents — deploy multiple independent agents on one server, each with its own model and channels
Server sizes & cost
| Plan | Agents | Approx. cost | Specs |
|---|---|---|---|
| Starter | 1–4 | ~$24/mo | 2 vCPU, 4 GB RAM |
| Growing | 5–8 | ~$48/mo | 4 vCPU, 8 GB RAM |
| Power | 9–16 | ~$96/mo | 8 vCPU, 16 GB RAM |
Most people should start with Starter — you can resize later from your cloud provider's dashboard. Your AI usage is billed by your provider (or covered by your existing subscription when you use OAuth).
Deploying programmatically
Teams that want automation instead of the sign-in wizard can provision agents with a REST API or a local MCP server (deploy from CI, manage a fleet from your editor, or batch-launch an agent per customer). See Enterprise & API.
Next steps
- Quick Start — deploy your first agent
- Cloud Providers — choose where it runs
- AI Providers — choose its brain
- Private Access — reach your dashboard securely
- Enterprise & API — programmatic deployment via REST API or MCP
- Troubleshooting — fix common issues