What your best people know, every agent in your org can use. Glen picks it up as the work happens, nothing to write down, nothing to maintain, and it never walks out the door. A day-one hire's agent runs on the same judgment as your most senior person's.
Prompts that Glen unlocks for everyone
Coding agents, support bots, the cron job on a runner: every agent in the company writes into one store. What any one of them learns, the rest recall.
Org-wide shared learning →Your platform engineer's deploy recipe, your support lead's escalation playbook. Once one agent has seen it done right, every agent can do it that way, including the new hire's.
Expertise that transfers →Context windows close and sessions end; the store keeps everything. A decision recorded in March is still recallable next March, reasoning included.
Effectively infinite retention →Access control is applied per observation, automatically, at recall. An agent surfaces only what its user is cleared to see, so the comp spreadsheet never turns up in an intern's session.
Automatic observation-level RBAC →When every person and every agent reads and writes one source of truth, they stop drifting into separate, contradictory versions of it. Different teams answer from the same facts, and each answer carries the turn it came from, so anyone can check why it is what it is.
When someone joins, they and their agents inherit a living snapshot of how the org actually works: the decisions, the conventions, and the reasons behind them. Ramp-up collapses from months to the first session, and anyone can do anyone's job to the same standard.
Every decision someone made, every hard-won lesson, every customer quirk they learned stays with the org instead of in one person's head. When they move on, none of it walks out the door. Turnover stops costing you context.
Security
We'll gladly walk you through every one of our security protocols and our architecture on a call, with our founder, personally. We take an approach to security that makes us confident enough to use our own product for our most sensitive information.
Organizational learning for agent fleets
“What one person in your org can do, now anyone can do.”Speak with us →
Day 1
Glen is a blank slate, ready to learn.
Month 1
After thousands of observations, Glen knows how your company works.
Year 1
Glen knows your company better than you do.
How it works
Your best people's expertise usually leaves when they do, or stays locked in their heads. Glen shares their knowledge so they don't have to. Your intern writes website copy like the head of growth, your new rep's agent coaches them on their sales calls like your VP of Sales, and your week-one recruiter runs Ashby over MCP like your senior talent architect.
Glen is shared learning for AI agents. Your agents call one tool each turn to get the facts that matter and store anything new. What any of them learns belongs to your whole org, so no agent ever starts from scratch.
A vector database is a box you have to fill, tune, and query yourself. Glen is the finished service: it decides what to store and what's relevant for you, with no index to manage or retrieval code to write. And because it's shared across your org, knowledge compounds instead of being stuck in one app.
Everything Glen learns is shared across everyone in your organization, and that's what lets it compound. It's isolated at the org boundary: one organization's records can never be read by another, enforced with row-level security in the database. For anything too sensitive to share, switch on private mode and nothing from that chat is ever written.
Anything that speaks MCP: Claude and Claude Code, Cursor, Codex, and any custom agent on an MCP client. The same configuration works everywhere, so connecting one agent connects them all.
Your data lives in Postgres, encrypted in transit with TLS and at rest by the cloud provider. API keys are hashed with argon2id and all agent access goes through OAuth 2.1, so there are no long-lived secrets in agent configs.
Glen runs in production today, and we onboard teams from the waitlist in waves. Join with your work email and we'll send your invite; from there, connecting one agent over MCP starts the learning on the first session. If you'd rather see it first, book a call with our founder.
Book a call and walk through Glen with our founder, or join the waitlist and we'll email your invite when your spot opens.