A lightweight, Git-native knowledge base skill for AI Agents — no vector DB, no chunking, no embeddings. Just TOC + line numbers + full source.
A modular local AI agent built with Python and Ollama, featuring tool calling, memory, web search, document processing, embeddings, and RAG.
Structured Output Matching & Association: online multi-person tracking built on the structured output of a multi-task wholebody detector, one whole-frame pass per frame (plus per-crop ReID embeddings in SOMA-R) — no tiling, no offline post-processing.
SIA — the Omarchy Brain: a persistent, associative, self-consolidating memory for your Linux desktop. Local embeddings, typed knowledge graph, deterministic cognitive core, outcome learning with an audited judge, mission-control cockpit, MCP for every agent.
[TOG-26] Seamless Video Loop Generation via Anchored Looping Shift of Positional Embedding