DevOps for AI 2

QA and observability platform for reliable Voice AI agents. Roark is a QA + Observability Layer for Voice AI, designed to help teams ship reliable voice agents. It provides comprehensive tools for monitoring live calls, running simulations at scale, and transforming call failures into repeatable tests. Roark tracks over 40 built-in call metrics, offers multi-speaker analysis, and enables on-demand or automated evaluations. For pre-deployment, it allows stress-testing agents with simulated callers across various accents, languages, and speaking styles, using graph-based scenarios and configurable personas. Roark also features one-click native integrations with popular voice platforms like VAPI, Retell, LiveKit, and Pipecat Cloud.

Open standard for defining, versioning, and running AI agents natively in Git repositories. GitAgent is an open standard and framework that allows developers to define, version, and run AI agents natively within Git repositories. It extracts an agent's configuration, logic, tools, and memory into a portable, version-controlled definition, moving them out of proprietary frameworks and into files like agent.yaml and SOUL.md. This approach allows developers to treat agent prompts and logic like code, enabling branching, pull requests for reviews, and full audit trails. It is framework-agnostic, meaning a single definition can be run across various platforms including Claude Code, OpenAI, CrewAI, and OpenClaw. GitAgent also features built-in support for regulatory compliance and deterministic multi-step workflows.