Mastra is the modern TypeScript framework for AI-powered applications and agents.

AI Observability & Evaluation

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

AI observability platform for production LLM and agent systems.

Framework for evaluating and improving agents

Evaluation and Tracking for LLM Experiments and AI Agents

Laminar - open-source observability platform purpose-built for AI agents. YC S24.

AI system design guide for engineers building production AI systems and evals.

Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.

Evaluate your LLM-powered apps with TypeScript

OpenSource Production ready Customer service with built in Evals and monitoring

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

Build AI workflows by prompt or visual canvas. Heym is source-available and self-hosted, with agents, RAG, MCP, HITL, observability, evals, token cost tracking and more.

A skill creator that proves its skills work. Evidence-driven skill creation for Claude Code and Codex: baseline-tested generation, per-skill regression evals, ecosystem doctor, cross-runtime compile, and an opt-in proactive advisor.

A curated, non-BS library of the best resources for building and evaluating AI agents — papers, blogs, talks, tools, benchmarks. Maintained by BenchFlow.

Waku Waku! Waku agent is your personal AI agent, on your own laptop, in code you can read in an afternoon — harness + loop + memory + eval

Cloud-synced dashboards for OpenCode and Claude Code. Track sessions, search with semantic lookup, export eval datasets.

Agent trace and tool-use safety evaluation lab.

Research infra for creating RL environments, post-training, and evals