matiasmolinas

Joined 11 years ago

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Mar 10

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What if your AI assistant learned from every session — remembering what worked, avoiding past mistakes, and getting smarter over time? Early Alpha...

Comment · 8 months ago

We're building an OS for AI-powered robots where every component — agents, skills, memory, kernel rules — is a markdown file that LLMs can read, rewrite, and evolve.

Two LLMs, two jobs: Claude Opus at dev time creates and evolves agents. Qwen3-VL-8B at runtime handles vision and navigation. The robot builds an occupancy grid from camera frames, uses A* for pathfinding. LLM picks strategy, math handles execution.

Same HAL runs on Three.js simulation and ESP32 hardware.

Alpha now, all TypeScript, Apache 2.0.

GitHub: https://github.com/EvolvingAgentsLabs/llmos

Comment · 8 months ago

What if your robot didn't just follow code, but wrote it?

We are building LLMos, an OS where AI agents are first-class citizens. They perceive, reason, and will soon collaborate using distributed world models (inspired by RSA-LLM) and dual-model architectures (LLM + JEPA).

We are moving from simulation to real-world synchronization, allowing agents to share their "mental models" of the environment to outperform individual units.

Building this alongside Ismael Faro has been a journey of constant innovation. Read about the future of Physical AI