A spotlight-style search bar for your entire enterprise stack

What it does Coco AI is a cross-platform client app—built with Tauri 2.0, React, and TypeScript—that aggregates search across enterprise tools like Google Workspace, Dropbox, Confluence, and GitHub. It surfaces documents, conversations, and files in one interface and adds a generative AI chatbot scoped to your team’s internal knowledge. All indexing and search heavy lifting happens in a separate backend server, so this repo is strictly the frontend shell.

The interesting bit Rather than stuffing a browser engine into a bloated desktop wrapper, the team uses Tauri’s Rust core to keep the client lightweight while still shipping a modern React UI. The pitch is essentially command palette logic applied to your whole SaaS footprint: one bar that knows where your wiki pages and pull requests live.

Key highlights

• cmd-k / spotlight-style unified search across Google Workspace, Dropbox, Confluence Wiki, GitHub, and other enterprise sources
• Team-scoped AI chat that draws on internal documents instead of generic web training data
• Desktop and mobile targets via Tauri 2.0, with private-deployment options for data-sovereignty requirements
• Clean React/TypeScript frontend with Tailwind CSS and Zustand state management
• MIT licensed, though the required backend indexer lives in the separate coco-server repository

Caveats

• The app is not self-contained: search and indexing depend on the separate coco-server backend, which you’ll need to run yourself or access as a service
• Mobile support is advertised, but the README only documents desktop development and build workflows
• Claims like “smart search intent understanding” and “relevance ranking” are stated without technical detail on how they actually work

Verdict Give it a spin if your team wants a Raycast-like launcher for internal documents and an AI assistant that actually knows your wiki exists. Look elsewhere if you want a single-binary search tool with no server dependency, or if you need detailed technical documentation on the AI retrieval pipeline.