Give your agents a shared consciousness.

What one agent learns, all agents learn. Your companies agents stop starting over and start compounding into a single expert that remembers everything, ever.

Backed by

Combinator

Every AI agent in a company wakes up knowing nothing. Glen is the shared memory they all read from and write back to, so what one agent learns, the whole org learns.

Built for organizations: Glen understands your organization. It maintains a model of your teams and the roles within them, then uses it to scope every memory to the right permission level the moment it's written.
Knowledge compounds: Anything learnt by one agent is learnt by all, so everyones agent becomes a master of all trades. Value grows as your team does.
Memory becomes skill: Unlike traditional recall systems, Glen is an action layer. Related knowledge is dynamically distilled into skills at runtime, so your agents perform their best

Give your intern superpowers.

Your best people's instincts usually leave when they do, or stay locked in their heads. Glen shares their knowledge so they don't have to. The intern writes like the head of growth, the new rep coaches like the VP, the week-one recruiter runs Ashby over MCP like your senior talent architect. What one person knows, every agent can now do.

Not your average memory system.

Feed the hive mind

What one agent writes, every agent recalls. The onboarding flow, the billing quirk, the deploy recipe, if it's learned once it's held in common.

Let your knowledge compound

As individual agents learn things, your agents collectivelly get smarter.

Skills should not be static

At recall relevant memories are distiled into skills allowing your agent to perform its best.

One tool call is all it takes

Supermemory

Zep

Letta

Capability

Automatic memory-level RBAC Scoping

Dynamic skill distillation

Org-wide collaborative memory

Provenance on every fact

Works with any MCP client

Temporal reasoning

Conflict and contradiction resolution

BestGlen

Mem0

Partial

Supermemory

Partial

Zep

Partial

Letta

Why Glen?

Every agent answers from the same memory

When every person and every agent reads and writes one memory, they stop drifting into separate, contradictory versions of the truth. 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.

Two teams ask their agents about the refund policy and get the same answer, traced to the decision that set it, not three stale copies that quietly disagree.

Every agent answers from the same memory

Two teams ask their agents about the refund policy and get the same answer, traced to the decision that set it, not three stale copies that quietly disagree.

You're in good hands.

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's makes us confident enough to use our own product for our most sensetive memories.

Talk to our founder →

In your data center.

Self-hosting options are availible for enterprise. No data ever leaves your perimeter.

Locked to your org.

Every memory is row-level isolated in the database, so one organization can never read another's.

SOC 2 Type II

Planned to begin soon.

GDPR

We're GDPR compliant. You can request export or deletion at any time.

99.9% uptime

Built for production, with the availability your agents depend on every turn.

Frequently asked questions

What teams usually ask before connecting Glen. Still stuck? Request access and ask us anything.

What is Glen, exactly?

Glen is a shared memory layer for AI agents. Your agents call one tool each turn to get the facts that matter and store anything new. The memory belongs to your whole org, so no agent ever starts from scratch.

How is this different from a vector database or building my own RAG?

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 the memory is shared across your org, knowledge compounds instead of being stuck in one app.

How do you make sure people only see what they should in my org?

At write time, an automated system maps the people in your org and the memories they each touch, then scopes every new memory to the right permission level which is deliberately conservative. And for conversations too sensitive to store at all, switch on private mode and nothing from that chat is ever written.

Which agents and clients does it work with?

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.

How is my data stored and kept secure?

Your memory lives in Postgres, encrypted in transit with TLS and at rest by your 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.

Is it production-ready, and how do I get access?

Glen is in private beta. Request access with your work email and we'll reach out to get your team connected.

Welcome to the future of work.

Day 1

Glen is a blank slate, ready to learn.

Month 1

After thousands of observations, Glen is your companies brain.

Year 1

Glen knows your company better than you do.