From bd8638d3d57455f038e0e6e98be864cf463afa6c Mon Sep 17 00:00:00 2001 From: Artur Date: Thu, 31 Jul 2025 21:27:32 -0700 Subject: [PATCH] Update README.md for grammar --- README.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 0f22938ce..7eb178ea4 100644 --- a/README.md +++ b/README.md @@ -29,7 +29,7 @@ Or browse all versions at [GitHub releases](https://github.com/EternisAI/enchant - Add custom MCP servers (stdio, remote) `beta` - Advance memory (fact extraction, memory consolidation, embedding search) - Support for local embeddings (JinaAI) -- Support for local anonymiser model `pre-release` +- Support for local anonymizer model `pre-release` - Data Imports (WhatsApp, ChatGPT, Telegram, Slack, Google-Gmail, X, Local Files) `beta` - Voice mode and Voice onboarding `beta` - Global omnibar @@ -39,22 +39,22 @@ Or browse all versions at [GitHub releases](https://github.com/EternisAI/enchant ## AI privacy levels -What gives Enchanted the right to exist is a tremendous focus on privacy. Official release of Enchanted uses a combination of local models, open sources models in a Trusted Execution Environment as well as closed source models behind a privacy proxy. +What gives Enchanted the right to exist is a tremendous focus on privacy. Official release of Enchanted uses a combination of local models, open-source models in a Trusted Execution Environment, as well as closed-source models behind a privacy proxy. -- Requests to closed source models are proxied through a router running in a trusted execution environment, ensuring that closed source model providers cannot match requests to users. +- Requests to closed-source models are proxied through a router running in a trusted execution environment, ensuring that closed-source model providers cannot match requests to users. - The embeddings model runs locally on the user's device. - Voice models run in a trusted execution environment. - Anonymiser model is running locally on the user's device. `beta` (Coming soon) Main codebase for Enchanted is open source and available on [GitHub](https://github.com/eternisai/enchanted-twin). In addition the proxy codebase can be found [here](https://github.com/EternisAI/enchanted-proxy) while the attestation proxy exposing cryptographic attestation documents generated by the Nitro Hypervisor for AWS Nitro Enclaves can be found [here](https://github.com/EternisAI/attestation-proxy). -Developers on the other hand can chose one of many ways of using AI Completions and Embeddings in Enchanted depending on the privacy requirements. +Developers, on the other hand, can choose one of many ways of using AI Completions and Embeddings in Enchanted, depending on the privacy requirements. ## Connectivity & Integrations ### Data Sources `beta` -Enchanted supports many predefined data sources to ingest data from. These data sources +Enchanted supports many predefined data sources for data ingestion. These data sources can be used to build the memory for your agent about you. All imported data is stored locally on the user's device. @@ -71,7 +71,7 @@ Enchanted comes with built-in support for popular services: - **Slack**: Team communication and workflow - **Screenpipe**: Screen and audio capture analysis -Users can also add custom MCP servers following stdin or remote protocol. +Users can also add custom MCP servers using either stdin or a remote protocol. ![Data Sources Screenshot 1](https://i.ibb.co/ycKSB4tL/Xnapper-2025-07-28-19-29-43.jpg?cb=1) @@ -108,7 +108,7 @@ Instantly open the Omnibar from any application with ⌘ + ⌥