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Usual
Local decision memory for coding agents
Usual helps Claude Code and Codex remember the decisions you’ve made across past coding conversations, so they can make better, more context-aware choices in future builds. It runs locally and keeps your preferences, reasoning, and exceptions close to home.
I built a byte level language model last year to see if something small could be useful with a narrow task. The task that kept surfacing was predicting which tradeoff I would make. Usual is that idea. It mines your Claude Code and Codex conversations for decisions you made and transforms them into a pattern for future decisions to be made by your agent without you. It’s local and open and easily deleted. Give it a try.
About Usual on Product Hunt
“Local decision memory for coding agents”
Usual was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #141 on the daily leaderboard. Usual helps Claude Code and Codex remember the decisions you’ve made across past coding conversations, so they can make better, more context-aware choices in future builds. It runs locally and keeps your preferences, reasoning, and exceptions close to home.
On the analytics side, Usual competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Usual performed against the three products that launched closest to it on the same day.
Who hunted Usual?
Usual was hunted by Paul Jump. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Usual including community comment highlights and product details, visit the product overview.
Paul Jump