Shared AI agent memory for engineering teams

Squish Cloud extends local-first agent memory with shared project context, so teams can preserve the decisions and constraints that make AI-assisted engineering more consistent.

Make project context reusable

Give teammates a common memory layer for architecture choices, project conventions, and known constraints instead of relying on every engineer to reconstruct them.

Keep memory inspectable

Teams can review and manage stored knowledge, making shared context easier to verify and improve as the codebase changes.

How team memory stays consistent

Squish Cloud syncs memory across team members so everyone sees the same project context. When one engineer records a decision or constraint, teammates can recall it in their own sessions without duplication.

Frequently Asked Questions

How does team memory sharing work?

Squish Cloud syncs memory across team members. Everyone sees the same project context, decisions, and constraints.

Can I control what gets shared?

Yes. Memory is categorized by type (decision, fact, preference). You choose what enters shared memory.

What permissions does Squish Cloud support?

Role-based access control (RBAC) with admin, editor, and viewer roles. Audit logs track all changes.

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Squish documentation