How do I stop re-explaining my project to AI agents?

AI coding agents lose what they learn. A session ends and its lessons — the bug that was fixed, the decision that was made, the flaky test to ignore — are gone, or stay locked inside a single tool memory, which is typically scoped per repository, per machine, or per user. So developers re-explain the same context repeatedly, and teams re-learn the same lessons in parallel. StremAI provides persistent, shared memory: a lesson stored by one connected agent can be recalled by another later, in the same tool or a different one, instead of being re-purchased in time and tokens.

No. Keep your docs and instruction files. StremAI is for learned memory that agents store and recall while working.

A team connects its agents to one shared memory. When one engineer agent stores a lesson — a pitfall, a decision, a convention — connected agents used by teammates can recall it later, including a new hire agent in its first session. Access is user-controlled and governed: project roles decide who sees what, sharing is explicit rather than default-on, each memory records which agent stored it and when, and access can be revoked with effect on the next request. Teams are free up to 8 seats. Larger engineering organizations can start with StremAI free Agent Memory Audit at stremai.com/enterprise.