The context backend for AI agents. Durable agent memory you can trust. Build, version, and retrieve grounded context from a context graph.

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

A graph-native memory system for AI agents and context graphs. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j.

RoboSystems is a financial knowledge graph platform that transforms complex financial data into actionable intelligence through graph-based analytics and AI-powered insights. Fork-ready with full GitHub Actions CI/CD for deploying CloudFormation infrastructure to your AWS account.

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

The Context Operating System for AI

📥 Fetch SEC EDGAR filings and convert them into CMD+RVL Fabric command JSON for clear, provenance-first event processing.

A minimal demo that shows how a context graph (backed by Neo4j) can be used to improve LLM responses for a student-facing co-pilot.

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

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.

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.

🎨 Transform text into reusable SVG illustrations for AI-generated pages, combining structured prompts with a rich asset library for customizable designs.