Reflect Memory

Shared context across your entire team

Team memory pools let any member share context that the whole team can read — from any connected AI tool. When someone documents an architecture decision or a coding convention, every teammate's AI assistant already knows about it in their next conversation.

Collective knowledge, individual access

Team memory pools give every member's AI tools access to shared context — without anyone having to repeat themselves or maintain a wiki nobody reads.

Share memories with one action

Push any personal memory to your team pool with a single action. Whether it's a debugging insight, a style guide update, or a vendor preference, it takes one click or one tool call to make it available to everyone.

Team-wide read access

Every team member's AI tools automatically include shared memories in their context window. New hires get instant access to institutional knowledge the moment they connect, with no onboarding documents to hunt down.

Role-based permissions

Control who can create, edit, and delete shared memories with granular role-based permissions. Admins set the rules, contributors add context, and readers benefit — all within the same pool.

Works from any connected tool

Team memories surface in Claude, ChatGPT, Cursor, and every other connected client. It doesn't matter which tool a teammate uses — they all read from the same shared pool through the MCP protocol.

Context that compounds over time

Onboarding context

New team members connect once and their AI tools immediately know project conventions, tech stack details, and team preferences. Weeks of ramp-up time collapse into a single connection.

Architecture decisions that stick

Document an ADR as a team memory and every developer's AI assistant enforces it automatically. No more re-litigating settled decisions or discovering violations in code review.

Cross-functional alignment

Design, engineering, and product teams share context in the same memory pool. When product updates a requirement, every team member's AI tools reflect the change immediately.

Give your team a shared brain

Pool your team's collective knowledge into a single memory layer that every AI tool can access. Less repeating, more building.

Team Memory — Reflect Memory | Reflect Memory