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portable taste layer · MCP-native

Enforce your standards
on every AI agent.

Teach it your standards once. Respected in every tool, for ~15 tokens a turn.

one command, runs on your machine·view on github
what it does

A memory layer for your taste.

Linters catch syntax. remindy catches taste, and feeds it to your agent before it writes.

how it works

The loop, on every write.

01

Recall

Agent pulls your known mistakes before it writes.

02

Write

Codes inside your standards. No slop, no mess.

03

Capture

Correct once. Remembered in every tool.

why remindy

Portable, tiny, and local.

Universal via MCP

One fix, respected across every MCP tool.

Caveman compression

One terse line per rule. ~15 tokens.

Supermemory Local

Fully on device. Nothing leaves the machine.

Set your standards once.

One command. Runs local. Works in every MCP tool.