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Volland/README.md

Hey, I'm Volodymyr ๐Ÿ‘‹

23+ years building software โ€” from COBOL and Smalltalk to Rust, Agentic Memory, and Sovereign AI

I work on agentic memory architectures, world models for AI agents, and secure/sovereign agents โ€” all grounded in embedded graph databases and edge-first, privacy-first principles.

My tools: LadybugDB (embedded columnar graph database), Semantic Spacetime ontologies, Promise Graphs, and Hybrid Graph RAG. I believe AI agents should own their memory, run on the device, and never depend on a cloud service to think.


๐Ÿง  Current Focus

  • Agentic Memory โ€” Multi-layered memory architectures (episodic, semantic, procedural) built on knowledge graphs. Cognitive extraction-consolidation pipelines. Memory that supports causal reasoning, not just retrieval
  • World Models for AI Agents โ€” Structured representations of the environment an agent reasons about to make decisions
  • Secure & Sovereign Agents โ€” Self-sovereign identity (DIDs, KERI, Verifiable Credentials), agent-owned credentials, trust without centralized authority
  • Edge AI & Embedded Graphs โ€” Local-first, privacy-first. Graph databases that ship as a single file and run in-process. No server, no network hop, no data leaving the device

๐Ÿž Projects

  • Hybrid Graph RAG (Rust) โ€” Four retrieval modes in one query: vector search + graph traversal + PageRank + community detection. +109% on multi-hop questions vs vector-only RAG
  • Hybrid Graph RAG (Python) โ€” Reference implementation of Hybrid GraphRAG with LadybugDB

๐Ÿ“š Books

I write the Age AI book series on Leanpub:

๐ŸŒ World Models for AI Agents ๐Ÿž LadybugDB for Edge Agent AI Memory
๐Ÿฆ† GraphDuck: DuckDB for Embedded AI Agents and Graphs ๐Ÿ”— Beyond Context Graphs: Agentic Memory, Cognitive Processes, and Promise Graphs
โณ Semantic Space Time for AI Agent Ready Graphs ๐Ÿ•ฐ๏ธ Temporal Aware AI Memory
๐Ÿ“ฑ Edge AI: Pocket Knowledge Graphs on User Device ๐Ÿง  AI Agents Memory Empowered by Knowledge Graphs
๐Ÿ” Sovereign AI Agents (in progress) ๐Ÿงฎ Dependent Types & Logic for AI Agent Ready Knowledge Graphs
๐Ÿ—ก๏ธ Cypher 103 with LadybugDB ๐Ÿ”ฎ Metagraph for AI Agents
๐Ÿ’พ TypeDB for Edge AI Agents ๐Ÿค” Philosophical Wednesdays with AI Powered Architect

๐Ÿ‡บ๐Ÿ‡ฆ I also write a Ukrainian children's book series: ะœะฐะบั, ะฆัƒะณั– ั– ัะฒั–ั‚ะปะพ, ัะบะต ั‡ัƒั‚ะฝะพ

๐Ÿ› ๏ธ Tech Stack

Primary: Rust, TypeScript, React, JavaScript
JVM: Kotlin, Scala, Java, Clojure
Systems & Crypto: Rust, Zig, C
Formative: Smalltalk (Pharo, Cuis, Self), COBOL โ€” these shaped how I think about objects, agents, and message-passing

๐Ÿ“ Writing & Content

๐ŸŒ Find Me

LinkedIn YouTube Substack Medium Mastodon MakerTube

Nostr: npub1u6qhg5ucu3xza4nlz94q90y720tr6l09avnq8y3yfp5qrv9v8sus3tnd7t


The next generation of AI will not simply compute. It will remember.

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