Shared memory for enterprises
At enterprise scale, AI agents multiply faster than the governance around them. Every team stands up its own assistants, each with its own private context, and the institutional knowledge those agents accumulate fragments across departments, vendors, and tools with no shared layer underneath. A decision one division's agent learned is invisible to another's; when people change roles or leave, the context their agents held evaporates; and security teams are left auditing a sprawl of bespoke memory stores nobody can fully account for. Glen, shared memory for AI agents, gives the organization one governed memory layer that every agent reads from and writes to.
Connect Glen as an MCP tool to the agents your teams already run and each one gains a single capability that retrieves organizational context and records new facts in one round trip. Instead of every team operating an isolated memory store, the knowledge your agents generate flows into shared, org-scoped memory, so context built in one department is available to authorized agents in another, and continuity survives reorgs, role changes, and turnover that normally erase hard-won context.
Because Glen is org-scoped by design, access is anchored to the organization rather than scattered across per-user silos, which is exactly the model an enterprise needs for governance and auditability of what agents know. It connects to whatever frameworks and clients your teams use over MCP, so you are not forcing standardization on one vendor's stack to get one shared memory underneath all of them. Authentication is enterprise-grade: connect over OAuth 2.1 or scoped API keys, with org-level boundaries on every read and write. The memory compounds as an institutional asset that grows with the organization instead of resetting every time a project ends or a person moves on, turning the knowledge your agents produce into durable, shared infrastructure rather than disposable per-agent state.
FAQ
- How does Glen handle access control at enterprise scale?
- Memory is scoped to the organization, and every read and write is bounded by the org. Agents connect over OAuth 2.1 or scoped API keys, so access is anchored to the organization rather than scattered across per-user stores.
- Do all our teams have to use the same agent framework?
- No. Glen is a standard MCP server, so agents in any framework or client your teams use, alongside human-driven tools, all read and write the same governed memory.