Tutorials, guides and technical articles.
A technical deep-dive into Hipocampus, a drop-in memory harness for AI agents that uses a 3-tier Hot/Warm/Cold architecture and a 5-level compaction tree. How ROOT.md enables constant-cost memory awareness and how it compares to hmem, Mem0, and Letta.
A technical deep-dive into hmem (Humanlike Memory), an MCP server that models human memory in five lazy-loaded levels backed by SQLite + FTS5. How Fibonacci decay, logarithmic aging, and a curator agent solve the context window problem across sessions and machines.
A deep dive into using the PARA method (Projects, Areas, Resources, Archives) as a cognitive scaffold for AI agent memory. How Markdown files, Obsidian, and Logseq via MCP create transparent, human-editable memory systems that actually persist.
A technical deep-dive into PlugMem, Microsoft Research's plugin memory system that transforms raw LLM agent interactions into reusable structured knowledge. How its three-component architecture (Structure, Retrieval, and Reasoning) outperforms task-specific memory designs.
How the First Principles Framework (FPF) and Quint Code enforce structured reasoning on AI agents. The Abduction–Deduction–Induction cycle applied to engineering decisions, auditable decision contracts, and why vibe-coded AI is not enough.
A deep analysis of the critical risks surrounding persistent memory in AI agents: memory poisoning, the right to be forgotten, homomorphic encryption, and the trends that will define 2026.
