The catalogue
20 published, 2 in progress. Mostly about how an agent remembers and what it remembers on — and then, at the far end of the shelf, tea, yerba mate and a techno-horror novella. Everything is on Leanpub, where the pricing is yours to set.
The Agents & Graphs shelf, as a graph
Every book is a node; every subject is a hub. Choose a subject to keep only the books that carry it — or choose a book to read what it is about.
Agents & Graphs
The core work — how an agent remembers, and what it remembers on.
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AI Agents Memory Empowered by Knowledge Graphs
The starting point: why retrieval alone is not memory, and how a knowledge graph gives an agent something it can reason over instead of merely search.
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Beyond Context Graphs
Agentic memory as a set of cognitive processes rather than a store — extraction, consolidation, and promise graphs for agents that cooperate without a central authority.
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World Models for AI Agents
A structured representation of the environment an agent reasons about, and how to build one that supports decisions rather than descriptions.
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Temporal Aware AI Memory
Time as a first-class dimension in agent memory: bi-temporal facts, decay, recency-aware retrieval, and causal ordering across episodic and semantic stores.
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Semantic Space Time for AI Agent Ready Graphs
Mark Burgess's Semantic Spacetime ontology — NEAR, LEADS-TO, CONTAINS, EXPRESSES — applied to build graphs whose semantics stay consistent under retrieval and reasoning.
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Metagraph for AI Agents
Higher-order structure — edges over edges, hyperedges, reified relations — for agents that must reason about statements, not just facts. Bipartite encodings aligned with HyperGraphRAG.
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Dependent Types & Logic for AI Agent Ready Knowledge Graphs
What dependent type theory and higher-order logic offer a knowledge graph: constraints that hold by construction, and models that cannot express nonsense.
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Edge AI: Pocket Knowledge Graphs on User Device
A knowledge graph that fits in a pocket. Local-first, privacy-first memory that ships as a file and runs in-process — no server, no network hop, nothing leaving the device.
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LadybugDB for Edge Agent AI Memory
An embedded columnar graph database as the substrate for agent memory: how it stores, how it traverses, and why in-process changes what an agent can afford to ask.
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GraphDuck: DuckDB for Embedded AI Agents and Graphs
Graph workloads on a columnar analytical engine. What DuckDB gives you for free, where it needs help, and how far an embedded analytical store carries agent memory.
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TypeDB for Edge AI Agents
Strongly-typed knowledge graphs as on-device agent memory: PERA modelling, polymorphic entity-relation-attributes, and SHACL-style validation at the edge.
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Cypher 103 with LadybugDB
Cypher past the tutorials — the query patterns that actually come up when a graph is doing an agent’s remembering for it.
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Graph Engineering: The Loop That Remembers
The engineering loop around a graph that keeps learning: what to extract, what to consolidate, what to forget, and how to keep the whole thing honest over time.
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Fact-Based Agents
Elementary facts as the unit of agent knowledge. Attribute-free modelling that a domain expert can read back as sentences — and an agent can reason over without guessing.
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Sovereign AI Agents
in progressAgents that own their memory, hold their own credentials, and never ask a cloud for permission to think. DIDs, verifiable credentials, and trust without a central authority.
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Rusty Graphs — AI Ready Graphs for Rust Developers
in progressBuilding agent-ready graph infrastructure in Rust: the crates, the trade-offs, and the parts you still have to write yourself.
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The Craft
On engineering itself: clarity, judgement, and what the code is a side effect of.
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Clarity Engineer: Code Is the Side Effect
The argument that an engineer’s real output is clarity, and the code is what falls out of it. What changes when you take that seriously.
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Clarity Forge: Local Coding Agent Done Right
Building a coding agent that runs on your machine and earns its place in the loop — context, memory, and the discipline that keeps it useful past the demo.
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Philosophical Wednesdays with an AI Powered Architect
Weekly arguments with a machine about architecture, meaning, and what we are actually doing. Less a manual than a record of thinking out loud.
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Other Worlds
Tea, yerba mate, and one techno-horror novella. Not everything is about graphs.
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Qi: The Neuroscience, Chemistry, and Microbiology of Tea Meditation
What is actually happening — in the leaf, in the gut, and in the nervous system — when tea is used as a method of meditation rather than a drink.
Also in Ukrainian: Ці — нейронаука, хімія та психологія чайної медитації
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Ерва Мате для Характерників
українськоюYerba mate, taken seriously: preparation, chemistry, and ritual. Written in Ukrainian.
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97%
A techno-horror novella. Two prequels — 87% and 37% — are published on Leaflet.
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Prices on Leanpub are variable — you choose what to pay above the minimum, and the book keeps updating after you buy it.