Shared memory by default
Save decisions, blockers, updates, evidence, and durable project facts where the whole workspace can find them later.
Rememer gives your team a shared memory layer for AI-native work. Capture decisions, blockers, tasks, and updates where teammates and assistants can find them later, without adding another status ritual.
Rememer keeps the working state of a project available to the team and to AI assistants, so every new session can start from what already happened.
Save decisions, blockers, updates, evidence, and durable project facts where the whole workspace can find them later.
Let an assistant retrieve the current project snapshot before it answers, plans, or takes the next step.
Keep project context scoped to workspace membership, with role-aware reads and writes for humans and assistant tokens.
Capture project state through MCP and tools while the work is already happening, instead of maintaining another process.
Set up the team boundary once, connect an assistant, then let project memory build from normal work.
Create a workspace and manage who can read or update shared project context.
Create one private AI assistant connection token for your account and use it with Rememer's MCP endpoint.
Have the assistant discover projects, capture decisions, manage tasks, and catch up from project state as work happens.
Rememer is shared project memory for teams working with AI assistants. It stores durable context such as decisions, blockers, tasks, updates, evidence, and project facts.
A user creates a private assistant connection token. The assistant can then call Rememer's MCP and tools endpoints to find projects, catch up on current state, and capture new decisions, blockers, tasks, and updates.
Rememer is for teams using AI assistants on project work where context needs to survive across people, chats, and sessions without creating a separate status process.
Rememer is built for shared team context that assistants can use directly. It combines project memory, tasks, blockers, and decisions with MCP/tools access, instead of asking people to maintain a separate knowledge base for AI.
Rememer can store shared memories, decisions, blockers, tasks, project updates, evidence, and private notes when a detail should stay personal.
Human UI access uses secure sign-in and database row-level access controls. Assistant calls are checked against the token owner's workspace and project membership, so shared context follows the same team boundary.
Pricing has not been finalized. Early access is focused on learning from real team workflows before announcing plan details.