ECONOBEN.DEV

· ECONOBEN.DEV

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Early ReleaseChapters 1 & 2 live

Agent Memory

Building Stateful AI Agents That Remember, Adapt, and Work Across Time

A practical engineering book about deciding what becomes memory, writing it safely, retrieving it well, and operating the system over time.

Agent Memory by Benjamin Labaschin, an O'Reilly Early Release book featuring an adult horned grebe

Current Focus

Building

Enterprise GenAI

Founding engineer at Workhelix, building the Nucleus platform that helps enterprises measure and grow AI ROI. Async LLM APIs, embedding pipelines, and agent deployment for Fortune 50 customers like Autodesk and Nasdaq.

Founding Engineer

Writing

Agent Memory for O’Reilly

Writing a practical guide to stateful AI agents that remember, adapt, and work across time. Chapters 1 and 2 are available now, with new chapters arriving throughout Early Release.

Early Release

Speaking

Agent Memory on Stage

Turning the book into practical talks about persistent state, context, and memory systems. Speaking throughout 2026 at conferences and meetups.

2026 engagements open

AI Agents

Tools and Strategies for Agentic Development (Into the Hopper Podcast)

A conversation with Tim Hopper on spec-driven development, Beads for task tracking, and how AI agents have changed my planning habits.

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AI

Building DSA Dojo: A CLI-Driven Approach to Learning Data Structures and Algorithms

I'm building my own data structures and algorithms course—a CLI-driven, ladder-based system where mastery comes through doing, not wat…

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year in review

2025: My Year In Review

Reflections on a year of milestones—getting engaged in Florence, publishing with O'Reilly and the AEA, raising a Series A at Workhelix…

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Early Release book

Agent Memory

A practical guide to building stateful AI agents that remember, adapt, and work across time.

Explore the book →

Agent Memory by Benjamin Labaschin, an O'Reilly Early Release book featuring an adult horned grebe