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Volland/README.md

Hey, I'm Volodymyr 👋

23+ years building software — 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 — 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.


🧠 Current Focus

  • Agentic Memory — 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 — Structured representations of the environment an agent reasons about to make decisions
  • Secure & Sovereign Agents — Self-sovereign identity (DIDs, KERI, Verifiable Credentials), agent-owned credentials, trust without centralized authority
  • Edge AI & Embedded Graphs — 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

🐞 Projects

  • Hybrid Graph RAG (Rust) — 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) — Reference implementation of Hybrid GraphRAG with LadybugDB

📚 Books

I write the Age AI book series on Leanpub:

🌍 World Models for AI Agents 🐞 LadybugDB for Edge Agent AI Memory
🦆 GraphDuck: DuckDB for Embedded AI Agents and Graphs 🔗 Beyond Context Graphs: Agentic Memory, Cognitive Processes, and Promise Graphs
Semantic Space Time for AI Agent Ready Graphs 🕰️ Temporal Aware AI Memory
📱 Edge AI: Pocket Knowledge Graphs on User Device 🧠 AI Agents Memory Empowered by Knowledge Graphs
🔐 Sovereign AI Agents (in progress) 🧮 Dependent Types & Logic for AI Agent Ready Knowledge Graphs
🗡️ Cypher 103 with LadybugDB 🔮 Metagraph for AI Agents
💾 TypeDB for Edge AI Agents 🤔 Philosophical Wednesdays with AI Powered Architect

🇺🇦 I also write a Ukrainian children's book series: Макс, Цугі і світло, яке чутно

🛠️ Tech Stack

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

📝 Writing & Content

🌐 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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  1. awesome-competitive-programming awesome-competitive-programming Public

    Forked from lnishan/awesome-competitive-programming

    💎 A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

    HTML 1 1

  2. awesome-bigdata awesome-bigdata Public

    Forked from oxnr/awesome-bigdata

    A curated list of awesome big data frameworks, ressources and other awesomeness.

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  3. awesome-nodejs awesome-nodejs Public

    Forked from sindresorhus/awesome-nodejs

    ⚡ Delightful Node.js packages and resources

  4. dwn-cozo-store dwn-cozo-store Public

    TypeScript 3

  5. sdk-notebooks sdk-notebooks Public

    Jupyter Notebook 3 1

  6. dwn-cozo-benchmark dwn-cozo-benchmark Public

    dwn storages banchmark

    JavaScript