
From connected information
to dependable knowledge.
I’m a software architect and author working on agent systems, knowledge graphs, memory architectures, and trust infrastructure. My work connects practical software engineering with the models that make a system’s behavior understandable.
Lean 4 Knowledge brings together a particular strand of that work: using typed graph APIs, formal semantics, and logic programming to make the boundary between a proposal and a justified conclusion explicit.
The projects here explore different parts of the problem. TypeDB and LadybugDB provide graph foundations. LeanRDF gives semantic claims a formal meaning. LeanElpi supplies higher-order logic programming and search. Lean provides a language in which to state and check the obligations.
Bulletproof Knowledge develops these ideas into a practical path for building agents whose memory and answers are constrained by evidence.
Explore the work.
- Open-source projects on GitHub
- Bulletproof Knowledge and related books
- Architecture, writing, and professional background
- Contact by email
Biographical context and portrait from pavlyshyn.me. Legal provider details appear in the Impressum.