Graph powered context harness for AI agents

• UpdatedFeb 20, 2026
• Python

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

• UpdatedAug 3, 2022
• Python

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.

• UpdatedFeb 18, 2026
• Python

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.

• UpdatedFeb 19, 2026
• Python

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

• UpdatedJan 5, 2026
• TypeScript

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

• UpdatedFeb 20, 2026
• TypeScript

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

• UpdatedDec 29, 2025
• Rust

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.

• UpdatedDec 28, 2025
• TypeScript

The Context Operating System for AI

• UpdatedFeb 19, 2026

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.

• UpdatedJan 18, 2026
• Python

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

• UpdatedFeb 20, 2026
• JavaScript