Retrieval
⬆Persistent, structured knowledge that compounds over time.
Problem
Agents forget between sessions. Vector stores retrieve — they don't understand.
Why It Matters
Memory is the key differentiator between a one-shot LLM and sovereign intelligence.
9 Projects in Retrieval
sovereign-memory-bank
Seven-layer cognitive memory architecture for autonomous agents: raw documents → synthesized abstractions → cross-document insights.
brain-memory-graphrag-engine
Unified system that combines sovereign Graph RAG with self-improving agent memory.
sovereign-knowledge-engine
Local-first, sovereign knowledge system that ingests markdown documents, constructs a multi-layer knowledge graph, generates vector embeddings, performs agentic reasoning, and continuously expands its understanding through human interaction.
ukb
Universal Knowledge Base — Spec-driven knowledge base system. Define what you know in an .sspec file, run start.sh, get a searchable, embeddable, web-UI-equipped knowledge base.
blog-knowledge-base
Next.js chat application that ingests markdown blog posts, constructs a knowledge graph with vector embeddings using a local LLM, and provides a RAG-based chat interface for querying blog content.
LGVRAG series
Local Graph + Vector RAG System with HelixDB — multiple iterations exploring graph and vector retrieval.
mindmap series
Mind Map AI — Local LLM-powered Personal Knowledge Graph. Interactive mind maps from notes using local LLMs and vector embeddings.
bot series
Multiple AI chatbot and research assistant iterations exploring GraphRAG, MCP integration, and conversational interfaces.
basicbot
Sophisticated Research Assistant powered by GraphRAG technology for analyzing documents and research data.