The difference
AI comes to your data.
Not the other way around.
Cloud AI tools ask you to move your work into their product. LLM-IDE keeps the product around your work.
Typical cloud workspace
- Meetings uploaded to vendor storage
- Code and chats on vendor servers
- Vendor subscription + model markup
- Remote access controlled by vendor
LLM-IDE
- Project stays in local SQLite/files
- Your own Claude login or API key
- Account service stores identity only
- Desktop approves every device
Local by architecture
The core binds to loopback. The desktop initiates outbound connections; no public core port.
Small cloud surface
Identity, passkeys, sessions and device list. No meetings, code, chats or AI keys.
Approval-first agents
Tool calls and code edits are explicit. Protected paths and permissions are enforced by the host.
One project
Context is the feature.
A meeting, a document, an issue and a code change are one story. LLM-IDE keeps them in one place so AI can reason about the whole thing.
See the architectureMeeting
Decision
Issue
Code
Shared local project