Blog
Notes on memory for AI agents.
How to give Claude Code and Codex persistent memory over MCP
A step-by-step walkthrough: connect any MCP client to a shared memory server, then have your agents store decisions with upsert_note and recall them with search_notes.
Agent handoffs: keeping context when one session ends and the next begins
Long tasks outlive a single context window. Here's how to write a handoff an agent can actually pick up: what to capture, what to leave in git, and how to structure it.
Read the post →Why AI agents need persistent memory (and how to give them some)
Agents reason brilliantly in the moment and forget everything the moment the session closes. Why that happens, why bigger context windows don't fix it, and what a real memory layer looks like.
Read the post →What is the Model Context Protocol (MCP)? A plain-English guide
MCP is the "USB-C port" for AI tools, one standard way for agents to reach external data and actions. What it is, why it matters, and how memory fits in.
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