ZaxbyHub/opencode-swarm

What it solves

OpenCode Swarm addresses the "trust gap" in AI-assisted coding, where AI models often claim a task is finished without actually producing working, secure, or tested code. It replaces the common "single-model" approach with a multi-agent system that enforces rigorous quality gates, ensuring code is reviewed, tested, and audited before it is considered complete.

How it works

It functions as a plugin for the OpenCode AI platform. When you assign a task, a central "Architect" agent breaks the work into a phased plan. These tasks are then delegated to specialized agents—such as coders, reviewers, test engineers, and security critics—that operate within isolated environments. The system uses static analysis to monitor shell commands for dangerous operations and requires every task to pass automated verification gates (like SAST, dependency audits, and test suites) before the project state is updated.

Who it’s for

This tool is designed for developers who use OpenCode and want to move beyond simple AI code generation toward a more reliable, automated development workflow that mimics a professional software engineering team.

Highlights

• Multi-Agent Architecture: Orchestrates specialized roles including architects, coders, reviewers, and security critics.
• Gated Execution: Enforces strict quality checkpoints; code cannot ship without passing reviewer and test engineer approval.
• Shell Write Detection: Uses static analysis to intercept and block dangerous or unauthorized file-write operations before they execute.
• Epic Mode: Supports large-scale development by running parallel, conflict-free task waves with automated phase reviews.
• Resumable Sessions: Automatically saves state to a local directory, allowing developers to pick up complex tasks exactly where they left off.