budget.csv - 212 rows; the same two lines are 11% and 6% over.
I can draft a variance summary or add the missing Q4 forecast column.
Message kdeps - drop files anywhere
Sendkdeps desktop
The kdeps agent in a native window for macOS, Windows and Linux. Run a local model and nothing leaves your machine - or bring your own key. Drop in files, approve its actions, keep the history.
Message kdeps - drop files anywhere
Sendmodels
The picker lists what /model list shows. Local models download on first use, with progress in the chat.
why kdeps desktop
It is the same agent loop the terminal runs, so tools, memory, sessions, goals and judges behave the same.
Drag files or folders onto the window. The agent works out what each one is, reads it with the right tool - text, PDF, DOCX, CSV, code - and tells you what you can do with it.
The same loop as the terminal: shell, file edits, web search, SQL, memory, goals and a judge panel. Your workflows and agencies show up as tools it can call.
In ask mode each tool call and every path outside the workspace opens an approval: allow once, allow always, or deny.
A workspace is a folder. History, search and persistent memory are kept per folder, and file tools never leave it.
Settings are generated from the config schema: dropdowns, sliders and suggestions for every field, plus harness sections, custom instructions and memories.
Export tuning, harness settings and skills as one profile file and import it on the next machine.
local vs hosted
What changes when the agent runs on your machine.
| Hosted AI chat | kdeps desktop | |
|---|---|---|
| Your prompts and files leave the machine | Always | Never, with a local model |
| Works offline / air-gapped | No | Yes - the UI loads nothing from a CDN |
| Edits files and runs commands for you | In a remote sandbox | In your workspace, with approval |
| Choice of model | The vendor's | 300+ local builds, Ollama, 11 clouds |
| Price | Subscription or per token | Free, Apache 2.0 |
getting started
No CLI, no YAML, no account.
Homebrew, Scoop, a Linux package, or the file from the release page.
Click the model name. Choose a local build to stay offline, or a cloud model and paste its key in Settings.
Type a question, or drop files on the window and the agent starts analyzing them.
download
Standalone - the kdeps CLI is not needed. Every release attaches the files with a .sha256 beside each.
macOS builds are ad-hoc signed and Windows builds are unsigned, so the first launch needs right-click, Open (macOS) or More info, Run anyway (Windows). Full install and build guide ->
A local model, your files, your machine.