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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.

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 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.

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.

Streamlines AI agent development with observability, performance tracking, and debugging tools for complex multi-agent workflows and LLM interactions.

Skill

Skill

Skill

Skill