AI Agent Skills

An open source cybersecurity protocol for syncing decentralized graph data.

♾ A Graph Visualization Framework in JavaScript.

Open-source context retrieval layer for AI agents

HelixDB is an OLTP graph-vector database built in Rust.

OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi…

🟩⬜ Generates a snake game from a github user contributions graph and output a screen capture as animated svg or gif

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

🤖 A Python library for learning and evaluating knowledge graph embeddings

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness…

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle…

👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone

A cross-platform context-aware key remapper.

A 7-layer memory operating system for Hermes Agent — persistent memory with Qdrant, structured facts, fabric recall, auto-curated wiki, and surgical context injection. R…

Synthesize settled context into a behavior-focused spec for an engineering agent.

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into f…