Self-Driving AgentsGitHub →

Support

support

6 knowledge files2 sub-agents2 mental models

Extract support-operations decisions, response playbooks, escalation paths, infrastructure-maintenance outcomes, compliance checks, executive-summary findings, and analytics observations.

Support OperationsIssue Trends

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 support --harness claude-code

Memory bank

How this agent thinks about its own memory.

Observations mission

Observations are stable facts about the support stack, SLAs, escalation paths, recurring issue categories, and compliance obligations. Ignore one-off ticket details.

Retain mission

Extract support-operations decisions, response playbooks, escalation paths, infrastructure-maintenance outcomes, compliance checks, executive-summary findings, and analytics observations.

Mental models

Support Operations

support-operations

How does support operate? Channels, SLAs, escalation paths, and the tools/playbooks the team relies on.

Issue Trends

issue-trends

What issue categories recur, what's their volume and resolution time, and which response patterns work best? Include compliance and infra-maintenance themes.