# Julep Memory Store de Julep est une couche de mémoire partagée pour les particuliers et les équipes utilisant des agents IA, qui synchronise conversations, notes et décisions entre Claude, Codex, Slack et les clients MCP. - Findings24: - Site web: - Tarifs: Freemium - Catégories: Base de Connaissances IA, Assistant Notes IA, Automatisation des workflows avec l’IA ## Qu'est-ce que Julep ? Memory Store is a shared memory product for AI tools and teammates. It turns conversations, snippets, notes, and decisions into connected memory so context is not trapped inside individual chats or apps. The site positions the product as part of your existing workflow rather than a separate destination. It runs as an MCP inside the agents you already use, with examples across Claude, Codex, ChatGPT, Cursor, Slack, Raycast, Linear, Granola, Fathom, and OpenCode. ## Que peut faire Julep ? ### Syncs from existing work tools Turns work already happening in tools like Slack, Fathom, and Granola into connected memory that captures what happened, who was involved, and what changed. ### Background organization Groups conversations by project, person, and decision in the background so teams do not need to manually file notes or threads. ### MCP-based recall across agents Runs as an MCP inside the agents you already use, letting you record information in one agent and recall it in another. ### Reusable context for playbooks Supports living playbooks and other reusable context that teammates can read later instead of searching through old threads. ### Personal and team memory Positions memory for both a single user and a whole team, with pages built from your own work and updated as you work. ### Fast onboarding path Uses a Book Demo flow for teams and says setup can be completed in under five minutes. ## Cas d'utilisation ### Personal context wiki An individual using Claude can keep notes, preferences, and context in one readable place that updates as they work. ### Decision tracking for teams A team can capture decisions from meetings and discussions, then refer back to the thread that explains why something was decided. ### Cross-agent recall A user can move context from one agent to another, such as recording something in Claude and recalling it in Codex. ### Living team playbooks Teams can keep playbooks and recurring process context available for Monday reads instead of relying on old documents or forgotten threads. ### Follow-up and context lookup Support, sales, and product work can pull answers from past calls, Slack threads, and notes when someone needs to reconstruct status or next steps. ## Questions fréquentes ### Is Memory Store for individuals or teams? Memory Store can be used by an individual or by a team. The page says it works for one person too, and it is also positioned for teams that want shared context across agents and conversations. ### What tools does it work with? The site says Memory Store runs as an MCP inside the agents you already use today. It is shown with Claude, Codex, ChatGPT, Cursor, Slack, Raycast, Linear, Granola, Fathom, and OpenCode, and it is described as working with all MCP clients. ### How long does setup take? The pricing page says you can set up Memory Store in under five minutes. It also says the product is at launch and includes a Book Demo path for teams. ### What does Memory Store actually store? The source describes it as a shared memory that turns conversations, snippets, notes, and decisions into connected memory. It stores what happened, who was involved, and what changed, and groups conversations by project, person, and decision. ### Is Claude required? The source explicitly says it is best tested with Claude. It also says it works with all MCP clients, so the broader support is claimed at the client level rather than as a full integration list. ## Informations rapides - **Category**: AI Productivity - **Product type**: Shared memory for AI tools - **Primary users**: Individuals and teams using AI agents - **Platform**: MCP clients and AI tools - **Source domain**: julep.ai - **Setup**: Under five minutes, according to the site