Tangerine Index lists products launched since ChatGPT and people's reactions to them.
In the makers' words
Kelet continuously diagnoses why your LLM apps and AI agents fail in production, and generates the fix. I've spent the past few years building 50+ AI agents in prod (some reached 1M+ sessions/day), and the hardest part was never building them — it was figuring out why they fail.
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I made AI agent lib that you will understand
Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.
AI Agents in 30 Lines of YAML: Lowdefy v5.3
A Lowdefy app can now run AI agents that call your existing endpoints as tools
ML condenses billions of logs into a tiny snapshot your LLM can debug
Agent layer for observability
LLM agents that write Python to analyze execution traces at scale
🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai
llm-space
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.
