Tenure
Your AI finally learns how to talk to you
Tenure launched on May 14, 2026 with 59 votes, #719 of 20,538 launches that month and more than 95% of that year's launches.
What it does
You explain something to one person and it goes over their head. Same thing, different person, clicks instantly. The difference isn't the information. It's knowing how someone hears things. That's what Tenure learns. Not just what you told it, but how to reach you. Most memory systems store facts and hope the model figures out relevance. Tenure converts observations into direct instructions the model acts on immediately. Fully local, encrypted at rest, nothing leaves localhost.
Persistent, governed memory for chat clients, IDEs, & agents. Share memory across clients without losing scope, provenance, or auditability. - tenurehq/tenure
Shared memory and governance for AI clients and agents, with scope, provenance, auditability, and access control. Tenure gives your AI clients and agents one governed memory layer between them and the upstream model. It remembers durable project decisions like architecture choices, coding conventions, database preferences, and team rules, then injects only the relevant scoped state into each request. As more clients and agents route through Tenure, it becomes the shared memory system and governance layer for AI across your tools, teams, and environments. No more re-explaining the same repo decisions. No more stale context from another project. No more guessing why the model used a piece of…from github.com
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