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 * [Ambrosia](https://github.com/reactorsh/ambrosia) - Ambrosia helps you clean up your LLM datasets using _other_ LLMs.
 * [Fiddler AI](https://www.fiddler.ai) - The all-in-one AI Observability and Security platform for responsible AI. It provides monitoring, analytics, and centralized controls to operationalize ML, GenAI, and LLM applications with trust. Fiddler helps enterprises scale LLM and ML deployments to deliver high performance AI, reduce costs, and be responsible in governance.
 * [Maxim AI](https://getmaxim.ai) - The agent simulation, evaluation, and observability platform helping product teams ship their AI applications with the quality and speed needed for real-world use.
+* [promptfoo](https://github.com/promptfoo/promptfoo) - Open-source LLM evaluation and red teaming framework. Test prompts, models, agents, and RAG pipelines. Run adversarial attacks (jailbreaks, prompt injection) and integrate security testing into CI/CD.
 * [Agentic Radar](https://github.com/splx-ai/agentic-radar) -  Open-source CLI security scanner for agentic workflows. Scans your workflow’s source code, detects vulnerabilities, and generates an interactive visualization along with a detailed security report. Supports LangGraph, CrewAI, n8n, OpenAI Agents, and more.
 * [Agentic Signal](https://github.com/code-forge-temple/agentic-signal) - Visual AI agent workflow automation platform with local LLM integration. Build intelligent workflows using drag-and-drop, no cloud required.
 * [Agentfield](https://github.com/Agent-Field/agentfield) - Open source Kubernetes-style control plane for deploying AI agents as distributed microservices, with built-in service discovery, durable workflows, and observability.