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A multi-agent engineering workflow that plans, delegates, reviews, revises, and delivers.
$ winget install --id Reon-Jin.JYYCode.Desktop --exact --version 1.2.1Run in Command Prompt, PowerShell, or Windows Terminal. Prompts for any agreements.
JYYCode uses EXE (NSIS). The silent install switches are /S.
JYYCode_1.2.1_x64-setup.exe /S
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Most AI coding tools are "one chat box + one agent": you watch it work step by step, restart from scratch when it goes wrong, and lose context, accountability, and momentum as soon as the task gets large.
JYY-Code upgrades a single request into an organized engineering run:
- Enforced by protocol, not by goodwill. Planning, dispatch, reporting, and review are all enforced by a runtime protocol — child agents can only report; they cannot rewrite the plan. A rejection must state the exact gap, and the feedback is automatically carried into the next dispatch.
- Backed by state, not by memory. Plans persist as revisioned structured files with optimistic-concurrency writes; sessions, snapshots, and the blackboard all live in SQLite (WAL), so runs resume precisely after restarts or channel switches.
- Powered by a team, not a lone agent. One root agent orchestrates up to 20 parallel sub-agents with distinct roles and models, coordinating over a shared blackboard — with structured human-in-the-loop questions at decision points.
You hand over a one-line goal; you get back reviewed, auditable engineering output.
| Architecture | Type | Scope | Install | Download |
|---|---|---|---|---|
| x64 | EXE NSIS | user | Direct |
Copy a command tailored to that specific architecture, type, and scope - useful when winget would otherwise pick a different default.
No known CVEs for JYYCode.
Coverage is best-effort and depends on a winget package mapping to an NVD CPE entry. Absence here is not a guarantee of safety.