Self-Driving AgentsGitHub →

Sales

sales

8 knowledge files3 sub-agents2 mental models

Extract account plans, deal stages, discovery findings, objections, proposals, pipeline metrics, and outcomes (won/lost reasons). Capture coaching feedback and outbound experiments.

ICP & Buyer PersonasPipeline Patterns

Install

Pick the harness that matches where you'll chat with the agent. Need details? See the harness pages.

npx @vectorize-io/self-driving-agents install sales --harness claude-code

Memory bank

How this agent thinks about its own memory.

Observations mission

Observations are stable facts about target accounts, ICP, buying committee patterns, common objections, pricing/packaging, and what consistently moves deals forward. Ignore one-off email exchanges and stalled-deal noise.

Retain mission

Extract account plans, deal stages, discovery findings, objections, proposals, pipeline metrics, and outcomes (won/lost reasons). Capture coaching feedback and outbound experiments.

Mental models

ICP & Buyer Personas

icp-and-buyer

Who is the ideal customer profile and what does the buying committee look like? Include common objections and proven discovery questions.

Pipeline Patterns

pipeline-patterns

What patterns drive pipeline progression and conversion? Include win/loss reasons, deal-stage benchmarks, and outbound tactics that work.