@aiassesstech/jessie
v0.6.1
Published
Jessie — Fleet Commander plugin for OpenClaw. Morning briefings, decision tracking, task delegation, policy-driven triage, fleet-bus communications.
Maintainers
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-4-5Tools
| 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
