Shared memory for chiefs of staff

A chief of staff is the connective tissue of an organization: you hold the threads that cross every function, the commitment made in one meeting that another team needs to honor, the why behind a leadership decision, the status of the dozen initiatives no single team owns end to end. As leaders and teams adopt AI agents to draft, summarize, and track, each agent works without that cross-cutting context, so it loses the throughline and re-asks questions you already answered. Glen, shared memory for AI agents, gives the agents across your organization one durable, shared memory exposed as a single MCP tool, so the connective context you maintain becomes something every agent can draw on.

The hardest part of a chief of staff's job is that context lives across boundaries, between teams, between meetings, between a decision and its execution, and it decays fast. AI agents make that decay sharper because each one starts blind: an agent drafting an update does not know the commitment a different team made, or the rationale behind a call leadership already settled, so the throughline you work to maintain keeps breaking. Glen makes that cross-cutting context durable: connected over MCP, an agent reads the org's accumulated knowledge before it drafts or tracks, picking up decisions, commitments, and rationale across functions, and writes back what it learns, so organizational memory compounds instead of resetting in every silo.

For a chief of staff this means the connective tissue becomes memory the agents consult rather than a thing you personally have to be in the room to supply. A decision and its reasoning recorded once is recalled when any team's agent drafts against it; a commitment captured in one meeting is visible to the agent tracking delivery elsewhere. Because Glen is org-scoped by design, it is exactly suited to a role that spans the whole org, the memory crosses team boundaries the way your work does, so leadership, product, and operations agents all draw on the same context. As a standard MCP server, Glen complements the project and doc tools those agents already use, holding the durable cross-functional rationale none of them capture, and it is readable from Claude Code, Cursor, or any MCP client. Connect once over OAuth or an API key and let the organization's context compound.

FAQ

Does the memory cross team boundaries the way my role does?
Yes. Glen is org-scoped, so context one team's agent records is readable by agents in every other function, which is exactly what a role spanning the whole organization needs.
Can it hold the reasoning behind leadership decisions?
Yes. Agents record durable observations, the decision, its rationale, the commitments around it, and read them back when drafting or tracking, so the why behind a call persists across the org instead of relying on you to re-explain it.