> ## Documentation Index
> Fetch the complete documentation index at: https://framework.freysa.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Features

> Comprehensive overview of Silo's capabilities

Silo offers a comprehensive suite of features designed to provide a powerful, private, and personalized AI experience.

## Core Features

* Open-source and closed-source LLM support
* Requests proxy in a trusted enclave for closed-source models
* Private Deep Research (Pro feature)
* User-sent messages are anonymized before reaching closed-source models
* E2E-encrypted sync via web app
* Light and dark mode

## Privacy Levels

Silo uses a combination of local models, open-source models in Trusted Execution Environments, and closed-source models behind a privacy proxy. See the full [Privacy](/silo/privacy) page for details.

* Requests to closed-source models are proxied through a router running in a TEE, ensuring that model providers cannot match requests to users
* The embeddings model runs locally on your device
* Voice models run in a trusted execution environment
* User-sent messages are anonymized before they are submitted to closed-source models

Main codebase for Silo is open source and available on [GitHub](https://github.com/eternisai/enchanted-twin). The proxy codebase can be found [here](https://github.com/EternisAI/enchanted-proxy) and the attestation proxy [here](https://github.com/EternisAI/attestation-proxy).