SouthpawIN/turbofit
Turbofit is a local-first adaptive LLM runtime for Hermes Agent, providing hardware-aware model selection, acquisition, and dynamic scaling to fit various GPU memory configurations, with a focus on...
Awesome Hermes Plugins › Model Providers
This project provides a native Google Antigravity (Cloud Code PA) provider for the Hermes Agent. It functions as a first-class `oauth_external` provider, allowing users to sign in with their Google account without requiring API keys. Access tokens are managed through an auto-refreshed OAuth file. Models are served via the `cloudcode-pa.googleapis.com/v1internal:generateContent` API and exposed to Hermes as OpenAI-style `chat.completions`, enabling interaction with models like Gemini, Claude, and GPT-OSS with full Hermes compatibility (tool calls, thinking, multi-turn conversations). The plugin integrates deeply with the Hermes core through a patch, adding support for Google Antigravity in areas such as runtime provider resolution, auxiliary client handling, authentication, and model setup flows. Installation is recommended via the hermes-patch-manager for automatic patch re-application and module copying during updates, though manual installation steps are also provided. Beyond just model provision, the repository includes an `image_gen` backend plugin that exposes Antigravity's Gemini image models, delegating to the vendored client's `generate_image()` functionality. It lists models live from the backend or uses a curated fallback. Furthermore, a `web_search` backend plugin is included, offering Google Search grounding via Antigravity's `gemini-3.5-flash-high`, providing cited, current sources without an API key, by utilizing the vendored client's `grounded_search()` tool. The login process uses the PKCE authorization-code flow, supporting both local browser redirects and manual code pasting for headless environments.
https://github.com/Meapri/hermes-google-antigravity-plugin
Turbofit is a local-first adaptive LLM runtime for Hermes Agent, providing hardware-aware model selection, acquisition, and dynamic scaling to fit various GPU memory configurations, with a focus on...
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