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featuresJune 20, 2026· 5 min read

Give your coding agent a memory

Coding agents re-read the same schema, re-derive the same conventions, and re-ask the same architecture questions on every run. A shared memory turns that repeated context into a one-time cost.

Watch a coding agent work across a big repo and you'll see the same expensive moves on repeat. It re-reads the schema. It re-figures-out your naming conventions. It re-asks what that service does. Each run, from scratch, at full token cost, because it has nowhere to write down what it learned last time.

shared, isolated memory for agents
agent · tenant A agent · tenant B agent · tenant C every recall is scoped, no lane can read another’s memory

What the agent learned about your codebase, remembered and reused, never leaked across projects.

In plain words: Crowkis gives a coding agent a memory and a shared cache: the schema it looked up, the conventions it inferred, the answers it already got, recalled by meaning on the next run, scoped to that project.

The payoff compounds over a session and across sessions. Facts about the codebase get established once and reused; repeated questions across multiple agents or multiple runs collapse into a single model call. And because memory is scoped per project, one repo's context never bleeds into another's, the agent is sharp about your code without confusing it for someone else's.

The bottom line

A coding agent without memory relearns your codebase every morning. Give it one, and last week's understanding is this week's starting point, for a fraction of the tokens.