Effero¶
One runtime for perceiving, reasoning, and acting — across computers, robots, and connected devices.
Latin: effero — "I carry out, I bring forth." From language to action.
What is Effero?¶
Effero is an open-source, modular runtime for building agentic AI systems that operate in the physical and digital world — not just chatbots that call APIs, but agents that see, hear, speak, reason, and act: driving a robot arm, flipping a smart switch, narrating what a camera sees, piloting a drone, or operating a desktop on your behalf.
It is designed from the ground up around three observations:
- Agent frameworks are excellent at software tool-calling but treat the physical world as an afterthought. There's no first-class notion of a camera frame, a LiDAR scan, a servo limit, or an emergency stop.
- Robotics and IoT stacks are mature at device control but were never built around LLM-native reasoning, memory, or natural-language planning.
- Safety guardrails built for text do not transfer to embodied action. A model that refuses a harmful sentence will still happily execute a harmful plan unless there's a runtime layer checking actions against the physical world.
Effero sits in the middle: one agent runtime, one skill/tool abstraction, one safety layer — many bodies.
Quick links¶
- Quickstart — install and run your first agent in under 5 minutes
- Architecture — six-layer system design deep-dive
- Skill Catalog — browse all available skills
- Safety Model — how Effero keeps physical actions safe
- Contributing — how to add skills, adapters, and perception backends
- GitHub Repository