Blog
Working Memory
Field notes on memory for AI coding agents. How it works, where context goes when people leave, and why a bigger context window was never the answer. Written for engineers who are tired of explaining the same thing twice.
Can Two AI Agents Share One Memory?
Codex, Cursor, OpenClaw, Gemini, Claude. Every pair asks the same question, and it has one answer. Not on their own, but yes through a shared memory layer they read over MCP.
Context Is Not Memory, and the Difference Is the Whole Game
Context is what you paste into a prompt and lose when the session ends. Memory persists, accumulates, and stays linked to the code as it changes. Here is why the distinction decides how useful your agent actually is.
MCP, Explained: One Protocol, Every Agent, Your Memory
The Model Context Protocol is the open standard that lets any AI agent connect to any tool without a custom integration. Here is what it is, why an open protocol matters, and how Oynix runs as an MCP server for purpose-built retrieval.
Your Memory Should Live in Your Own Database
Most tools ask you to upload your code to earn their answers. Oynix runs the engine in your infrastructure and writes to a database you control. Here is what that means and what Oynix never holds.