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AgentOps — a toolbox of operational primitives for coding agents that preserves learnings between sessions, supports parallel swarm execution, and builds validation pipelines.

AgentOps — a toolbox of operational primitives for coding agents that preserves learnings between sessions, supports parallel swarm execution, and builds validation pipelines.

AgentOps — a toolbox of operational primitives for coding agents that preserves learnings between sessions, supports parallel swarm execution, and builds validation pipelines.

AgentOps automates context persistence between coding agent sessions by extracting learnings, quality-gating them, and injecting them into the next session. Applies DevOps' three ways (flow, feedback, continual learning) to the agent loop with composable primitives for research, planning, building, and review.

Orchestrates multiple Codex agents for parallel task execution, with the lead agent preventing file conflicts before spawning via merge/wave strategies. Auto-selects the runtime backend (Codex sub-agents, Codex CLI, OpenCode subagents, or swarm fallback) based on availability.

AgentOps — a toolbox of operational primitives for coding agents that preserves learnings between sessions, supports parallel swarm execution, and builds validation pipelines.

Plugin

The missing DevOps layer for coding agents. Flow, feedback, and memory that compounds between sessions.

A full discovery phase orchestrator skill that coordinates brainstorming, design validation, codebase research, epic planning, and pre-mortem analysis through strict delegation to sub-skills. Produces execution packets with structured plans for implementing features or capabilities.

An SDLC control plane for agentic software development that adds phase gates, a persistent learning corpus, and multi-agent council reviews on top of existing coding tools like Claude Code, Codex, and Cursor. Captures decisions, planning rules, and learnings in a local .agents/ directory so context survives across sessions.