Sublayer
Model-agnostic Ruby framework for building AI-powered automations with Generators, Actions, and Agents.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Sublayer, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Sublayer is a model-agnostic AI agent framework for Ruby. According to the official docs, it provides a self-assembling framework for creating generative AI-powered automations by combining Generators, Actions, and Agents. The project is distributed as a Ruby gem and linked from the official documentation to GitHub and RubyGems. Its documentation includes guides for building LLM-powered Rails voice chat, custom agent triggers, an LLM TDD bot, and running local models with Llamafile or Ollama.
Key features
- Ruby
- Rails
- LLM
- generative AI
- automation
- model-agnostic
- open source
- RubyGem
- Ollama
- Llamafile
Use cases
- Building Ruby-based LLM automations
- Creating agent workflows with generators and actions
- Adding AI-powered features to Rails applications
- Experimenting with local LLMs through Ruby applications
- Building custom triggers for automated workflows