Remember every prospect — and let your playbook compound.
A brain per prospect, plus synthesis that turns what closes into standing lessons your whole pipeline reuses.
A sales agent that keeps a persistent brain per prospect and turns what actually closes into a playbook the whole pipeline reuses.
Sales agents lose the thread between touchpoints — the prospect's objections, their timeline, what was already pitched. Every message re-stuffs CRM context, costs more, and still sounds generic. And what actually closes deals never becomes reusable knowledge.
What changes with a memory layer.
- Continuity
Loses the thread between touchpoints.
- Playbook
What works never becomes reusable.
- Messaging
Generic, sometimes off-message.
- Cost
Re-stuffs CRM context into every message.
- Continuity
A persistent brain per prospect.
- Playbook
Synthesis distills wins into standing lessons.
- Messaging
A coherence gate keeps positioning consistent.
- Cost
Tighter prompts as the brain compounds.
The same loop — three calls, your model in the middle.
prepare
Builds the brief — memory + written identity + coherence gate. No LLM call.
your model
You call your own model — your provider, your key. Khwan never touches it.
record
Persists the turn and learns from it — so the next prepare is sharper.
Every run compounds. The brief gets tighter, cost drops, and answers sharpen — the memory that thinks, not just recalls.
A brain per prospect
Per-user sub-brains keep each prospect's history, objections, and next steps persistent, so the agent picks up exactly where the relationship left off.
A playbook that compounds
Synthesis distills the patterns behind successful conversations into standing lessons the whole pipeline reuses — the agent gets better at your motion the more it runs.
On-message, always
A written playbook becomes the coherence gate, so positioning and claims stay consistent and compliant across every rep and every message.
Outcomes, not orchestration.
- Continuity across every touchpoint, no re-stuffing CRM
- A shared playbook that sharpens over time
- Consistent, compliant messaging at scale
- Bring your own model and keep your margin
Sales teams, SDR tooling, and revenue-automation products.
The whole integration — three calls
import { Khwan } from "@khwan/client";
const kw = new Khwan({ apiKey: process.env.KHWAN_API_KEY });
// 1 — Khwan builds the context (memory + coherence). No LLM call.
const turn = await kw.prepare(input);
// 2 — You call your own model. Your provider, your key.
const answer = await yourModel(turn.messages);
// 3 — Hand it back. Khwan persists + learns; next prepare is sharper.
await kw.record(turn, answer);