Is Supermemory's memory shared across a team?

Supermemory centers on universal personal memory — your context made available across the LLMs and clients you use. Sharing one store across an entire organization's agents is Glen's default, not Supermemory's.

Yes. Both offer an MCP server any compliant client can call. The distinction is scope: Supermemory is per-user portable memory, while Glen is org-shared memory for a whole team's agents.

Glen vs Supermemory

Glen and Supermemory are both memory layers reachable over MCP, and both let memory follow you across AI clients, but they are scoped to different units. Supermemory is a universal memory layer for an individual: its MCP server makes your own memories available across every LLM you use — ChatGPT, Claude, Cursor, and more — backed by the Supermemory API, so your context is portable across tools and platforms. Glen is shared memory for AI agents scoped to an organization, so every agent on a team reads from and writes to the same store, not just one person's. This comparison contrasts them fairly on scope, integration, MCP support, and the open-versus-managed tradeoff, so you can tell which model fits your team.

How they compare

Dimension	Glen	Supermemory
Memory scope	Org-shared by default: an entire organization's agents share one store, so knowledge compounds across the whole team.	Universal personal memory: your memories made available across every LLM and client you use, centered on the individual.
Integration model	MCP-native single glen tool any compliant client calls; also backed by an API.	MCP server for cross-client personal memory, plus the Supermemory API for embedding memory into your own applications.
Read + write flow	Read and write in one MCP round trip: the tool returns relevant context and schedules the write of new observations.	Automatically learns from conversations and retrieves context; add and recall happen as you interact across clients.
Open vs managed	Managed shared-memory service you connect to, scoped and provisioned at the org level.	Managed service with a free MCP server and an API on a generous free tier and usage-based pricing; the engine is also open source.

Verdict

Supermemory is excellent when the unit is you: it makes one person's memory portable across every LLM and client, with a free MCP server and an API for building it into your own apps. But if the unit you care about is the team, Glen is built for that case. It provides org-scoped memory as a single MCP-native tool where every agent in the organization reads and writes the same store, with read and write in one round trip and new teammates inheriting the org's memory automatically — no per-user silos to reconcile. Choose Supermemory for portable personal memory across your tools; choose Glen when you want your whole organization's agents to share what they learn out of the box.

FAQ

Is Supermemory's memory shared across a team?: Supermemory centers on universal personal memory — your context made available across the LLMs and clients you use. Sharing one store across an entire organization's agents is Glen's default, not Supermemory's.
Are both MCP-native?: Yes. Both offer an MCP server any compliant client can call. The distinction is scope: Supermemory is per-user portable memory, while Glen is org-shared memory for a whole team's agents.