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@aiassesstech/jessie

v0.6.1

Published

Jessie — Fleet Commander plugin for OpenClaw. Morning briefings, decision tracking, task delegation, policy-driven triage, fleet-bus communications.

Readme

@aiassesstech/jessie

Fleet Commander — OpenClaw plugin for AI agent governance.

Jessie is the executive authority in the ANet-AGI-001 fleet. She manages morning briefings, decision tracking (veto/approve), task delegation, policy-driven triage, fleet-wide status synthesis, and fleet-bus communications across six autonomous agents.

Features

  • Morning Protocol — Automated daily briefings synthesizing all agent statuses
  • Decision Engine — Structured veto/approve workflow with audit trail
  • Task Delegation — Fleet-bus integrated task assignment and tracking
  • Policy Layer — Queryable priority map and auto-resolver for systematic triage
  • Context Gate — Automatic prompt injection of critical decisions, corrections, and policy summaries
  • Heartbeat System — Cost-optimized fleet health checks with fast-path for quiet periods
  • Commander Memory — Persistent, searchable memory across decisions, operations, and strategy

Installation

npm install @aiassesstech/jessie
npx jessie setup --model anthropic/claude-haiku-4-5

Tools

| Tool | Purpose | |------|---------| | jessie_status | Commander state and fleet overview | | jessie_briefing | Morning Protocol execution | | jessie_delegate | Task delegation management | | jessie_decide | Veto/approve with structured reasoning | | jessie_report | Commander reports and summaries | | jessie_policy | Query priority-map.md and auto-resolver.md |

Architecture

Part of the AI Assess Tech autonomous agent fleet operating under a patent-pending constitutional separation of powers architecture (U.S. Provisional Patent Application No. 63/949,454).

License

Proprietary — GiDanc AI LLC