openspec-agents

When AI coding shifts from assisted completion to autonomous implementation, the one-agent-does-everything model exposes structural weaknesses: unstable quality, unauditable processes, and errors that are hard to roll back. openspec-agents consumes OpenSpec change specifications (proposal / design / tasks / specs) directly and replaces the single-agent pipeline with a coordinated team of a master orchestrator, a dedicated implementer, a reviewer, and a quality gatekeeper, turning specifications into reviewed, production-grade code.

The core capability is a gated pipeline: every step must pass a quality check before the next one begins; failures trigger automatic rollback and rework, with optional rule-based exemptions that are fully logged. Each change executes in an isolated worktree, merges and cleans up automatically on completion, and the full trail of progress, verdicts, exemptions, and recovery checkpoints is recorded so you can resume mid-flight after an interruption. Beyond the change-orchestration flow, the plugin also provides a standalone code-review mode that can scope a single PR range or the entire repository at two granularity levels (thorough or simple), with an optional auto-fix or review-only policy, and returns a consolidated report grouped by severity, dimension, and file location.

It is built for teams and projects with hard requirements on delivery quality, process traceability, and reproducible outcomes. The plugin works natively with mainstream AI coding tools including Claude Code, Codex, ZCode, DeepSeek Harness, and OpenCode. The trade-off is higher API consumption and longer runtime compared to a single AI making direct edits, but in return you get a stable, reproducible, and fully auditable implementation process. If you are willing to spend a little more for certainty, this project is designed for you.