
Introducing Calliope CLI: Open Source Multi-Model AI for Your Terminal
Your Terminal Just Got Superpowers Today we’re releasing Calliope CLI as open source. It’s a multi-model AI …

AI deployment isn’t one-size-fits-all. Security requirements, data sensitivity, connectivity, and cost constraints all influence where and how you deploy.
Here’s how to choose the right deployment model for your needs.
Cloud Hosted (Multi-tenant SaaS): We host everything. You use it.
Dedicated Cloud (Single-tenant): Your own instance in our cloud or yours.
On-Premise: Runs in your datacenter. You control everything.
Desktop (Free): Runs on individual machines. BYOK.
Ask these questions:
Where can your data go?
Who needs access?
What connectivity do you have?
What’s your IT capacity?
Best for:
Pros:
Cons:
Best for:
Pros:
Cons:
Best for:
Pros:
Cons:
Best for:
Pros:
Cons:
Many organizations use multiple models:
Dev/Prod split:
Sensitivity split:
Team split:
Start where you are, move where you need:
Desktop → Cloud: Same interface, just connect to cloud
Cloud → Dedicated: We migrate your data and config
Dedicated → On-Premise: Same software, different location
Work isn’t lost when deployment needs change.
Cloud Hosted:
Dedicated Cloud:
On-Premise:
Desktop:
Each model has different security characteristics:
| Aspect | Cloud | Dedicated | On-Prem | Desktop |
|---|---|---|---|---|
| Data location | Our cloud | Your/our cloud | Your DC | Your device |
| Network exposure | Internet | Internet/private | Private | Local |
| Operations | Us | Shared | You | You |
| Updates | Automatic | Scheduled | Manual | Manual |
When choosing deployment:
Choose the model that fits your constraints.

Your Terminal Just Got Superpowers Today we’re releasing Calliope CLI as open source. It’s a multi-model AI …

Understanding the Math Behind Modern AI Vector embeddings are everywhere in AI now. They power RAG systems, semantic …