Your data stays on your machine

Indexing and embeddings run on-device, and the vector index is written to local files. We never upload your documents or your code.

Zero data retention

We store no prompts, no answers, no documents — not even in logs. In Remote mode your question is processed in memory and discarded.

Never used for training

Nothing you ask is used to train a model, sold, or shared. Anonymous feature-usage counts are all we measure — never your content.

Read the full privacy policy — it lists every byte we hold.

Two modes, one guarantee

The mode changes exactly one thing: where the answer is generated. Your documents, your code, and the search index built from them stay local either way.

Local · Free

Everything runs locally

Your model, your hardware. With Ollama, none of your content leaves your computer — no account, no cloud round-trip. Prefer a bigger model? Plug in your own provider key and you still decide exactly where your data goes.

✓ Chat model on your machine via Ollama — or your own API key
✓ Embeddings generated on-device
✓ Vector index in local files
✓ No account — runs offline with a local model

Remote · Preview

We run the infrastructure

We host the inference and choose the model, so there is nothing to configure and no model key to buy. Your data still stays local: only your question and the snippets retrieved for it reach our endpoint — and we keep none of it.

✓ Managed model — no provider keys, no setup
✓ Embeddings still generated on-device
✓ Vector index still in local files
✓ Sign in with GitHub; every request re-verified
✓ Zero retention — nothing stored, nothing logged

Remote mode is in preview. It is rolling out now and may change while we tune capacity and models. Local mode is generally available and is unaffected. Inference in Remote mode is performed by an upstream model provider under its own policy — see the privacy policy for exactly what travels where.

Capabilities designed for builders

A full agent that reads, edits and verifies — with the docs and tickets that explain why already in reach.

Agentic coding

The agent searches and reads your code, makes multi-file edits, then runs your linter, type-checker and tests to verify its own work before handing it back.

Confluence One-Click

Connect your space in one click and your team's documentation becomes context the agent can pull mid-task — the design page, not just the file.

Azure DevOps (ADO)

Work items, user stories and PR context synced and searchable, so a run can be grounded in the ticket that asked for it.

Review before it writes

Every file change arrives as a diff you approve or reject. A checkpoint is taken before the first write, so one click reverts the whole turn.

Codebase understanding

ripgrep search plus symbol, definition and reference lookup through your editor's own language server.

Your work, on open

The sidebar lists the ADO items assigned to you with their state and sprint — start a run straight from a ticket.

Web search mid-task

Lets the agent look up what your code and docs can't tell it: a new library, an unfamiliar API, current release notes.

@-mentions

Pull a specific file or folder into the conversation instead of hoping retrieval finds it.

Release automation

Config-sync and hotfix pipelines with a plan → approve → apply flow, so work doesn't stop at “PR opened”.

MCP server

Ships an MCP server that exposes your Confluence and ADO search to Claude Desktop, Cursor and other MCP clients.

Runs offline

In Local mode with Ollama there are no remote APIs at all — the whole loop works on a plane.

Chat where you want it

Run it in the sidebar or open it as a full editor tab, with several sessions going at once.

Ready in minutes

Installation

WorkspaceGPT is available directly through the marketplace. Install it for VS Code, Cursor, or Antigravity.

ext install Riteshkant.workspacegpt-extension

Pick your mode

Open Settings > Mode. Either way, indexing stays on your machine.

Local — bring your own model. Ollama for fully offline (default llama3.2:1b), or your own OpenAI / Claude / Gemini / Groq / OpenRouter key — or any OpenAI-compatible endpoint.
Remote (preview) — sign in with GitHub and we handle the model. No keys, nothing to configure.

No re-index when you switch — the mode only moves inference, never your index.

Connect Contexts

Confluence Start

Go to Settings > Confluence. Click Sign in for one-click auth, and hit Sync.

ADO Synchronization

Go to Settings > ADO Integration. Enter PAT to sync pull requests, tickets, and work items.