Can I keep different clients' context separate?

Yes. Glen supports multiple memory stores, so you can keep each client's context in its own store while still having every consultant's agent read and write through one shared tool.

What happens to engagement knowledge when a consultant rolls off?

It stays with the firm. Glen memory is scoped to the organization, so the context a departing consultant's agents accumulated remains available to whoever picks up the account next.

Shared memory for consultants

Consulting is a context business: every client engagement builds up a dense, specific understanding of their systems, their constraints, their politics, and the decisions made along the way. As consultants lean on AI agents to research, draft deliverables, and analyze client environments, each agent starts every engagement blank, with no memory of what was learned last week on the same account, and no way for the agent a colleague used to share what it figured out. The expertise your firm accumulates stays trapped in individual heads and one-off chat sessions, exactly the asset a consultancy is supposed to compound. Glen, shared memory for AI agents, gives your firm one shared memory every agent reads from and writes to.

Connect Glen as an MCP tool to the agents your consultants use and each gains a single capability that retrieves what the firm already knows and records new facts in one round trip. When an agent preps for client work, it pulls the prior findings, the client's constraints, the decisions already made on the account, so the consultant continues the engagement instead of restarting it. As the agent produces durable insights during research or analysis, they go back into the shared store automatically, without anyone writing up an internal memo nobody will reread.

Because Glen is org-scoped, the knowledge compounds across the whole firm rather than evaporating when an engagement ends or a consultant rolls off. A pattern one consultant's agent learned solving a problem for one client becomes reusable institutional expertise the next time a similar problem appears, and account context survives staffing changes so the client never has to re-explain their world. It works with whatever agents and clients your consultants already use over MCP, connected once over OAuth or an API key, and the firm's hardest-won asset, accumulated expertise, finally lives in a store every agent can draw on instead of in scattered notes and individual memory.

FAQ

Can I keep different clients' context separate?: Yes. Glen supports multiple memory stores, so you can keep each client's context in its own store while still having every consultant's agent read and write through one shared tool.
What happens to engagement knowledge when a consultant rolls off?: It stays with the firm. Glen memory is scoped to the organization, so the context a departing consultant's agents accumulated remains available to whoever picks up the account next.