Operate an OpenGork agent with local Ollama or xAI API backends.
npx skills add https://github.com/diagnostikon/OpenGork --skill opengork
Please help me install this Agent Skill. Skill: opengork Source: https://github.com/diagnostikon/OpenGork/tree/main/skill Command: npx skills add https://github.com/diagnostikon/OpenGork --skill opengork
Uncensored AI agent management across local and cloud backends, enabling flexible control over content policies and deployment options.
Start the agent by choosing a backend and mode, then initiate interactions with a prompt.
High-intent search queries and answers about installing and using this skill.
To run an uncensored AI agent locally, configure the dual-backend OpenGork agent with Ollama. This provides offline privacy and uncensored responses by selecting Heretic mode via CLI flags and setting up Ollama in your Clawdbot YAML configuration.
Yes, you can switch between local Ollama and xAI API backends for AI inference. OpenGork supports dual-backend management, allowing you to toggle between offline privacy with Ollama and cloud-based speed with partial filtering using the xAI API.
Available modes for uncensored AI agents include heretic, savage, based, genius, and chaos. You can switch between these modes using CLI flags to adjust the tone and capabilities of the OpenGork agent during your interactions.
Yes, you need an xAI API key to use cloud-based AI inference. The dual-backend OpenGork agent requires either a local Ollama setup for offline privacy or an xAI API key for cloud-based inference with partial filtering.
You configure an AI agent in Clawdbot YAML by defining backend settings and selecting a mode. This setup allows you to manage content policies and deployment options for the OpenGork agent across local or cloud environments.
A dual-backend setup for AI agent deployment offers flexible control over content policies and deployment options. It enables you to choose offline privacy with local Ollama models or online speed with the xAI API, adapting to different workflow requirements.
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