Agentic Infrastructure
AI agents that know your business from day one.
Companies spend weeks training agents before they actually work. Mebbian turns your internal knowledge and workflows into shared memory agents can connect to immediately.
Early access · No spam
§ 01 — The Problem
Weeks of training before anything works.
Every company building on AI agents hits the same wall. The models are capable. The agents just have no idea who they're working for.
Agents start from zero on every deployment.
Weeks spent manually reconstructing business context.
Agents forget. Agents contradict each other. Agents escalate wrong.
Every new agent means rebuilding the same context from scratch.
Context changes. Automations break. Teams retrain from the start.
That is the problem we fix.
§ 02 — What We Build
Infrastructure agents connect to and train from immediately.
Mebbian turns your internal knowledge and workflows into two things: a knowledge and decision graph the agents read from, and a runtime that controls how they behave, escalate, and respond.
Knowledge & Decision Graph
What the business knows and how it decides.
Stores business context, processes, and decision logic. Customers, workflows, escalation rules, approvals, exceptions, historical reasoning. Agents read from this graph instead of being retrained from scratch.
Agent Runtime
How agents behave inside the business.
Controls what context each agent receives, when to escalate, whether to ask for approval, and how to coordinate with other agents. The runtime is where the rules live.
§ 03 — How It Works
Your business, structured.
We build the knowledge graph three ways simultaneously. Nothing becomes canonical until the owner approves it — so agents only operate on what the business has verified.
Files, emails, databases, exports. Everything the business already has — ingested and structured automatically.
How the business actually works, observed in real time. Processes the data alone cannot capture.
Structured questions that fill the gaps. The knowledge the system needs but cannot infer.
§ 04 — Who It's For
Three of four. That's the signal.
A company qualifies if they recognize at least three of these patterns inside their AI operations today. One or two is not enough.
Repeated decisions flow through AI — triage, qualification, follow-ups, scheduling.
Context should compound — customer history, past approvals, institutional knowledge.
More than one agent touches the business. State drift between them is already felt.
Operator feedback exists — humans approve, reject, or correct agent outputs regularly.
§ 05 — How We're Different
The others give you tools. Mebbian gives you a workforce.
Single-agent assistants
Sierra · Decagon
Point solutions for one use case. Mebbian is not an assistant. It is the operating layer those assistants sit on top of.
Memory SDKs
Letta · Mem0
Developer tools for adding memory to a single agent. Mebbian is the company-wide substrate — multi-agent, with accumulated decision history as the moat.
Orchestration framework
LangGraph
A framework for wiring agent logic. Mebbian gives every agent in that workflow a shared brain, persistent context, and an employment record inside the company.
§ 06 — Early Access
The operating layer is being built.
Join the waitlist to get early access.