A natural-language interface where every AI — Claude Code, Antigravity, local models — becomes just another worker. Not a chatbot: an operating environment.
JARVIS doesn't just answer — it acts. Every voice command becomes real work on the desktop: opening apps, moving windows, running commands, filling forms, controlling the mouse and keyboard. Almost anything you can do, it can do.
“Open my code editor and pull up the KrishiSetu repo.” → Linux Agent launches → Browser Agent navigates
“Clean up my downloads folder.” → Terminal Agent sorts & archives files
“Start a screen recording and open OBS.” → Linux Agent installs/configures/runs
Desktop control runs through OS automation APIs (input, windows, accessibility) with a permission gate — JARVIS asks before anything destructive or irreversible.
06 It Does Things For You
Beyond code — JARVIS handles real-world tasks end to end. It browses, compares, calculates, and prepares the action, confirming with you before committing anything that costs money.
📅 Bookings
“Book a table for two at 8pm.” The Browser Agent finds availability, fills the form, and confirms with you before booking.
🧮 Estimates
“What would a weekend in Goa cost?” The Finance + Research agents gather prices and return an itemized estimate.
✈️ Errands
Flights, hotels, appointments, orders — handled by agents that drive the browser and verify each step.
🛠️ It Builds
“Make me a portfolio tracker.” Claude Code plans, writes, tests, and ships it — then reports back.
07 Remote & Mobile
JARVIS lives on your desktop but answers from anywhere. Send a command from your phone and the desktop agents execute it — with full access to everything above.
From the train: “Update all my repos and redeploy.” → Desktop pulls, rebuilds, tests → pushes you “Done.”
From bed: “Give me the estimate for that trip.” → Finance Agent replies to your phone.
The same paired session, authenticated end to end — token-secured, so only your devices can reach your JARVIS.
08 Never Runs Out of Context
You shouldn't have to re-explain yourself. The Memory Agent stores facts, preferences, and project state in a vector database and retrieves only what's relevant — so JARVIS always has the background without burning context.
MEMORY · RECALLED
User prefers FastAPI · never Flask
Current project → PostgreSQL + pgvector
Trades on FundingPips · risk cap 1%
Timezone → IST · likes concise replies
RETRIEVAL semantic search over pgvector
SUMMARY old sessions compressed, not dropped
Relevant memories are injected per request; the rest stays in the store. Context stays small, JARVIS stays informed — no repeating yourself.
09 Agent Communication
The "planner → executor → verifier" pattern: separate reasoning, implementation, and validation.
You: “Build me a weather app.”
Brain → asks Research Agent to find APIs
Research → finds OpenWeather
Code → creates Next.js app
Testing → runs tests
Browser → clicks every button, finds a bug
Code → fixes the bug
GitHub → commits
Brain → reports back to you
10 UI & Voice
Think Iron Man. Agents on the left, conversation in the center, live tasks on the right, terminal at the bottom.