The Context Operating System for AI Apps. Build, manage, and deploy AI-optimized Context Graphs.

This is the code for the paper 'RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network'.

A TypeScript CLI and Codex-friendly reference implementation for ingesting EDGAR disclosures into an append-only CQRS context layer. Focused on auditability, replayability, and strict schema discipline.

Episodic memory and semantic cache proxy for LLM APIs with ~40% token savings

The Context Operating System for AI

MemOS is OmegaKG's cognitive core, endowing agents with persistent memory and tool awareness. This service transforms them from simple executors into resourceful, learning problem-solvers that autonomously leverage past knowledge and capabilities to achieve goals more effectively. They are also then able to learn from mistakes, and self-correct.

A bitemporal, graph-backed memory system for AI coding agents.