Contextual memory as a service.
“We stopped repeating decisions in Slack. The memory travels.”
— Platform eng lead, early access
The CRM that remembers your guests.
“We finally know our regulars before they walk in. The kitchen knows too.”
— Owner-operator, 60-seat restaurant
An open-source memory engine for AI systems. Engram catches what gets said, links it to what was already known, and brings it back when it's useful.
import { Engram } from "@humanlayerdo/engram"
const engine = new Engram({
memory: "persistent",
context: "structured",
})
await engine.ingest(conversation)
const recall = await engine.query("last decision on auth")Knowledge that survives the next context switch.
AI proposes. The human decides. The design problem is where the seam goes.
How agents hand off work without losing the thread.
Full-stack systems we run in production. Cloud, APIs, observability, on-call. The unglamorous parts that keep things up.
Applied AI: integrations, fine-tuning, retrieval, agents. Evals over vibes.
Product and interface design that takes complexity seriously. AI systems should be easier to read than the prompt that built them.
Technical advisory for teams adopting AI. Where to start, what to skip, what to ship first.
Discover and prototype. A working artifact by week three.
An embedded squad ships production software next to yours.
Fractional technical leadership for teams mid-rollout.
> Tell us about it.