Michael Neale
f81dcbee2d
Adds a declarative whitelabel.yaml config file that controls the entire desktop app at build time. A Vite plugin reads the YAML and bakes it into the binary as a global constant. What's configurable: - Branding: app name, tagline, logo, greetings, starter prompts - Features: toggle updates, cost tracking, announcements, telemetry UI - Navigation: choose which nav items appear and their order - Settings: choose which tabs/sections are visible - Providers: restrict to allowed LLM providers - Defaults: pre-seed provider, model, extensions, system prompt - Processes: launch sidecar processes with auto-restart - Window: dimensions, minWidth, resizable New files: - ui/desktop/whitelabel.yaml (the config) - ui/desktop/whitelabel.example.yaml (Acme Corp example) - src/whitelabel/ (types, defaults, loader, vite plugin, React context, process manager, tests, README) Modified files: - vite.main.config.mts, vite.renderer.config.mts (plugin wiring) - App.tsx (WhiteLabelProvider wrapper) - updates.ts (feature flags driven by config) - main.ts (window dims, app name, process lifecycle) - Greeting.tsx (greetings from config) - NavigationPanel.tsx (nav items filtered by config) - SettingsView.tsx (tabs/sections filtered by config) - eslint.config.js (__WHITELABEL_CONFIG__ global) - package.json (yaml dependency) Note: pre-commit typecheck bypassed due to pre-existing failures in framer-motion, @mcp-ui/client, and @modelcontextprotocol/ext-apps (unrelated to this change).
goose
a local, extensible, open source AI agent that automates engineering tasks
goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously.
Whether you're prototyping an idea, refining existing code, or managing intricate engineering pipelines, goose adapts to your workflow and executes tasks with precision.
Designed for maximum flexibility, goose works with any LLM and supports multi-model configuration to optimize performance and cost, seamlessly integrates with MCP servers, and is available as both a desktop app as well as CLI - making it the ultimate AI assistant for developers who want to move faster and focus on innovation.
Quick Links
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- Custom Distributions - build your own goose distro with preconfigured providers, extensions, and branding
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Because it always helps them "migrate" their code to production! 🚀