Shared memory for sales engineers
Sales engineers translate a product into a buyer's reality, and that means juggling a different technical context for every opportunity: the competitor they are displacing, the benchmark the buyer cares about, the precise way the product has to integrate with their existing tools. Most of that knowledge lives in your memory and a graveyard of demo notes, so when an RFP arrives or a deal reopens, you rebuild it from scratch. Once you add AI agents to help, to answer RFP questions, prep demos, or draft technical proposals, they have the same amnesia, starting every task with no idea what the team already learned about this account. Glen, shared memory for AI agents, gives those agents a durable, team-shared memory through a single MCP tool that retrieves relevant context and records new facts in one round trip.
Point the agents your sales engineering team uses at Glen over MCP and each one gains a single tool that pulls the account's technical history and writes back what it learns. Before an agent answers an RFP question, it retrieves what the team already knows: the buyer's compliance requirements, the integration they validated last quarter, the competitor's weakness that resonated in the last demo. After a technical deep-dive, it records the new objections and requirements that surfaced. The next agent, whether yours or a colleague's, opens the opportunity already knowing the terrain instead of re-interviewing the room.
What changes is that hard-won deal intelligence stops dying in individual inboxes. Glen is org-scoped, so the memory is shared across every sales engineer and every agent on the team. One SE's agent captures that a buyer's blocker is data residency in the EU, and every other agent surfaces it the moment that account comes up again, including when a different SE inherits the deal. Because Glen is a standard MCP server, the same memory is reachable from any MCP client, so an RFP assistant, a demo-prep agent, and a proposal drafter all draw on one consistent record of the opportunity. Connect once over OAuth or an API key and the technical knowledge behind every deal compounds instead of resetting with each cycle.
FAQ
- How is this different from our CRM notes?
- CRM notes are written by people for people and rarely get read by your agents. Glen is memory built for agents: they retrieve relevant context and write new facts automatically in one MCP call, so the record stays current without manual upkeep.
- Can different agents share the same deal context?
- Yes. Glen is org-shared, so an RFP assistant, a demo-prep agent, and any other MCP client all read and write the same store, giving the whole team one consistent view of each opportunity.