I recently published a new hands-on article for the IBM Db2 Community that demonstrates how to build persistent AI agent memory using IBM Db2 12.1.5 VECTOR and my open-source project, mnemos. The guide walks through deploying a complete local stack with Db2 Community Edition, configuring native
The original article in this series argued that no LLM product was deliberately designed for personal, persistent-agent, or continuous coding use. Anthropic shipped one piece of the answer on June 15. xAI shipped the other on May 19. This is what they are, why they exist, and how to
Disclosure: This post reflects independent personal experimentation and my own hands-on work on personal open-source projects. It reflects only my personal views, is not professional advice, and does not represent any organization, employer, or official position. If you have been hearing about "AI agents" and wondering
Disclosure: This post reflects independent personal experimentation and my own hands-on work on personal open-source projects. It reflects only my personal views, is not professional advice, and does not represent any organization, employer, or official position. MNEMOS v5.0.1 · Apache 2.0 · In production since December 2025
Or, what happens when a small ARM SoC, a quiet weekend, and a 45-year-old Disney movie collide on your desk Disclosure: This post reflects independent personal experimentation and my own hands-on work on personal open-source projects. It reflects only my personal views, is not professional advice,
Disclosure: This post reflects independent personal experimentation and my own hands-on work on personal open-source projects. It reflects only my personal views, is not professional advice, and does not represent any organization, employer, or official position. This is the follow-on to "All our tests passed. The
Agentic COBOL: how a 1959 idea shipped our 2026 LLM plugin Disclosure: This post reflects independent personal experimentation and my own hands-on work on personal open-source projects. It reflects only my personal views, is not professional advice, and does not represent any organization, employer, or official position. Last
Two merged PRs, a handful of rookie mistakes, and the quiet point where architectural thinking finally becomes actionable Published: April 22, 2026 Read time: 6 minutes Topics: Open Source, AI-Assisted Development, Systems Architecture Disclosure: This post reflects independent personal experimentation and my own hands-on work on personal open-
Why I built my own memory substrate for long-running AI agents — and what "co-author" actually means in practice Published: April 22, 2026 Read time: 6 minutes Topics: Open Source, Agentic AI, Systems Architecture Disclosure: This post reflects independent personal experimentation and my own hands-on work
Disclosure: This post reflects independent personal experimentation using publicly available documentation and pricing. All model recommendations are based on my own hands-on testing with OpenClaw in the context of agentic skill development. It reflects only my personal views, is not professional advice, and does not represent any organization, employer,
Disclosure: This reflects my personal experience and interpretation of publicly available information. All product evaluations are based on my own hands-on testing in the context of personal agentic skill development — not general benchmarking, sponsored evaluation, or professional recommendation. It represents my views alone — not any employer or organization — and
Disclosure: This reflects my personal experience and interpretation of publicly available information. It represents my views alone—not any employer or organization—and is not professional advice., Fifty-three years. That's how long it took us to go back to the Moon. Apollo 17 returned in December 1972.