What is agentic memory?
Agentic memory is structured, persistent knowledge that an AI agent loads when it starts a task, so it begins already knowing your company’s context. A context window empties when the session ends; memory accumulates across sessions and across agents.
What starting from zero costs
Without memory the agent greps, reads, calls tools and asks you. Those 22 calls are the agent rebuilding your world from scratch, every session.
Medians from our August 2026 benchmark runs. Run it yourself.
Structure: Why it stays small
Ten dimensions of what a company knows, stored in three layers: an industry blueprint at the base, your company above it, distilled records on top. A database task loads the database records and nothing about the sales pipeline. Superseded records are retired, history kept.
Everything captured is stored three ways, in three brain architectures.
From CentralView, the live map of your deployment. Mock company.
Three stores, one queue deciding what gets written.
Where the memory comes from
Roughly 80% of a company’s domain knowledge sits in two places, meetings and agent sessions (120+ interviews with tech leads). Capture points there.
Memory, RAG, and fine-tuning
| Dimension | Memory | RAG | Fine-tuning |
|---|---|---|---|
| Holds | Distilled judgments, conflicts resolved when the record is written | Passages fetched from your documents at query time | Patterns baked into model weights |
| Wrong when | A record is out of date | The document was never written, or went stale | A fact changed since training |
| You fix it by | Editing the record. It is plain text. | Rewriting the document | Retraining. A weight cannot be inspected. |
Memory comes first: it feeds the other two and works with whatever model you run.
Day 1 to Day 30
Success criteria are agreed in writing before anything is installed.
- Day 1One setup call, then our engineer deploys the brain inside your VPC.
- Week 1Your meetings and agent sessions start flowing in.
- Week 2First answers that used to need a veteran: why a decision was made, which fix actually worked, who owns what. Each one cites the meeting or session it came from.
- Day 30Questions that used to wait on a Slack thread come back in seconds, with sources. Your coding agents pull the same answers over MCP.
Your data
- Deployed in your private cloud.
- Your data never leaves it.
- We never train on it.
- If you leave, the brain is torn down.