Graphify uses local tree-sitter parsers to build interactive codebase knowledge graphs, integrating with AI coding assistants while preserving privacy. Supports 25+ languages and multi-format assets.
HASH is a Rust-based multi-tenant knowledge graph platform using autonomous AI agents to build and validate data. It combines Rust backend, TypeScript workers, and Docker services with LLM integrations.
ctx builds a 104K-node knowledge graph to optimize AI skill and agent selection for Claude Code, solving context window bloat with a graph-based recommender and lifecycle management.
graph-memory compresses AI agent context by 75% using a knowledge graph and dual-path recall with Personalized PageRank. It combines precise entity search and semantic matching for improved memory across sessions.
Memary is an open-source memory layer for AI agents using knowledge graphs and recursive retrieval to efficiently store and query agent memories. It supports multi-agent setups and integrates with LlamaIndex and OpenAI.
A Python tool that converts unstructured text into interactive knowledge graphs using a three-phase LLM pipeline with SPO triplet extraction, entity standardization, and relationship inference.
This repo uses LangChain’s experimental graph transformers with GPT-4o to extract and visualize knowledge graphs from unstructured text, offering a practical LLM-based information extraction pattern.
SwarmVault compiles raw sources into a persistent Markdown wiki with typed knowledge graph, hybrid search, and contradiction detection. It supports 16+ agents and offline use.
WhyHow Knowledge Graph Studio builds RAG-native knowledge graphs using MongoDB and OpenAI embeddings, offering flexible triple-based graph construction for AI workflows.
llm_wiki uses a two-step chain-of-thought pipeline to build a self-maintaining knowledge base. It combines Tauri, knowledge graphs, and Louvain clustering for a unique personal wiki experience.
