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Endigest AI Core Summary
This guide provides a practical architecture for running local AI models in Chrome extensions using Transformers.js under Manifest V3 constraints.
•Background service worker hosts the AI models (Gemma-4 for text generation and MiniLM for embeddings) to avoid duplicate memory usage across tabs
•Side panel UI communicates with background through a typed messaging contract (BackgroundTasks and BackgroundMessages enums) while content scripts handle DOM extraction
•Models are cached under the extension origin (chrome-extension://<extension-id>) rather than per-website, giving a single shared cache for all extension users
•Tool calling is normalized through a webMcp layer that converts model output into deterministic tool executions with execute, name, description, and inputSchema
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Internal model transcript (for inference) is kept separate from UI-facing chat messages to maintain clear separation between model operations and user communication
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Hugging Face
CSS-Tricks