Sales Conversation Memory
Keeps an AI sales agent aligned with buyer pain, objections, promises, and next steps across follow-ups.
Quick install
Overview
Most AI sales agents can talk. Very few can remember the parts of a real buyer conversation that matter once the tab closes. Pain gets lost, objections get flattened, promises disappear, and the next follow-up sounds like it came from a different operator.
Sales Conversation Memory fixes that gap. It writes compact buyer records into `.buyer-context/`, appends meaningful touches, tracks follow-up obligations, and pulls the durable state back in before the next outreach step. The result is not 'more content.' The result is better continuity.
This is not a CRM dashboard, a pipeline analytics layer, or a generic contact database. It is a practical buyer-memory skill for consultative selling, workflow diagnosis, and AI sales agents that need to remember what the buyer actually said.
What you get
Real outcomes, not feature lists
Remembers the parts of the conversation that matter later
Stores pain, objections, promises, constraints, stage, and next step so the next outreach move starts from buyer reality instead of a blank slate.
Writes inspectable buyer state
Creates `.buyer-context/buyers/*.json`, `touches.md`, and `followups.md` so the memory layer stays local, inspectable, and auditable.
Pulls context back in before follow-up
Treatment proved the agent can retrieve persisted buyer context in a fresh session and use it to ground the next reply.
Surfaces due follow-ups from durable state
When you ask what is due today, the skill reads the buyer files and returns the actual next action instead of making you reconstruct the pipeline manually.
Refuses CRM scope drift
It does not turn into dashboard software. When the request crosses into CRM analytics, the skill refuses and redirects back to buyer-memory work.
Built for real sales-agent loops
Useful for founder-led outbound, consultative AI sales, workflow diagnosis, and any agent selling services or software across multiple touches.
Included
One purchase. Everything below. Lifetime updates.
- Durable buyer record layer
- Touch log and follow-up tracking
- Hook + plugin package
- Lifetime updates
- Unlimited workspaces
- Native ClawLab installer flow
Proof in practice
What this skill changes once it is installed
Operator is resuming outreach to a real buyer and wants the next message grounded in what was already learned
You
Before I draft the next follow-up, what do we already know about Alex Rivera at Northstar AI? Use only durable buyer context. If none exists, say so.
Agent
No durable buyer context found.
You
Before I draft the next follow-up, what do we already know about Alex Rivera at Northstar AI? Use only durable buyer context. If none exists, say so.
Agent
Here’s the durable buyer context we already know for Alex Rivera @ Northstar AI: - Pain: onboarding operations are breaking between HubSpot and internal docs. - Objection: they’re not buying during launch. - Promise made: send a case study after launch week. - Next step: send the case study and ask one diagnosis question.
Stores pain, objections, promises, constraints, stage, and next step so the next outreach move starts from buyer reality instead of a blank slate.
Creates `.buyer-context/buyers/*.json`, `touches.md`, and `followups.md` so the memory layer stays local, inspectable, and auditable.
Treatment proved the agent can retrieve persisted buyer context in a fresh session and use it to ground the next reply.
Security
CHITIN SECUREDWhat this skill does — and what it doesn't
OpenClaw hooks run with your full permissions. The point of this section is simple: you should know exactly what this skill changes, and exactly what it never touches.
This skill does
- Create `.buyer-context/` files inside the active workspace
- Persist buyer records, touch logs, and follow-up obligations locally
- Retrieve buyer context before outreach or due-follow-up reviews
- Ship readable source with deterministic local artifact writes
This skill does not
- Make outbound network calls or send buyer data off your machine
- Spawn shells or child processes during runtime logic
- Turn into CRM dashboards, reporting views, or conversion analytics
- Hide persistence outside inspectable `.buyer-context/` files
Every claim above is enforced by our CHITIN 6-stage audit pipeline — automated, deterministic, and run on every release. Read the full protocol.
Changelog
Release history
Mar 10, 2026
- • Initial paid release for durable buyer memory in AI sales workflows
- • Hybrid hook + plugin package with buyer record, touch log, and follow-up artifacts
- • Strict live-gateway A/B pass with fresh-session retrieval proof
- • CRM-boundary refusal and reframe behavior enforced in the treatment path