πͺ’ Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
π§ Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 π
OpenLIT is the open-source agent harness engineering platform: trace, evaluate, guard, and improve everything around the model in your AI agents, on OTEL.
Trigger functions or evaluate cron expressions in JavaScript or TypeScript. No dependencies. Most features. Node. Deno. Bun. Browser.
A desktop app to prototype agent ideas, inspect every harness step, replay failures, and evaluate performance, all in one place. Local-first, cloud-ready for managed agents.
The trust layer for your AI agent on any platform. Trace and evaluate your agent. Full Observability. Run Model portability analysis. Autotune your agent.
RYUX gives AI agents the design intelligence to understand product context, make intentional design decisions, and evaluate what they create.
The private, offline-first prompt manager for AI Agent power users. Features AES-256 encrypted local storage, a built-in AI Librarian to evaluate & refine prompts with Gemini & Groq fallback, dynamic {{variable}} templates, Supabase cloud sync, analytics, and instant βK search.