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Oodle launches Agent Observability on Hacker News, offering agent traces at $10 per million spans to help AI-native teams detect silent failures and improve reliability.
Agnost AI is a platform that analyzes agent conversations to surface user feedback, detect failures, and generate automated fixes, helping teams improve their AI agents.
An article discussing the growing public fascination with watching AI agents perform tasks, and the question of what to call this phenomenon.
PostHog has open-sourced its all-in-one product analytics platform, offering tools like product analytics, web analytics, session replays, feature flags, and more. The platform is free to use with a generous free tier.
SaZabi is building an AI observability system that uses logs as the source of truth to automate debugging and issue resolution, aiming to bridge the gap between automated code and manual debugging.
Opik is an open-source platform for AI agent observability that goes beyond tracing to automatically diagnose failures, propose fixes, and verify them, closing the debugging loop without manual intervention.
Braintrust's Topics feature uses LLM summarization to make production agent traces tractable for clustering and classification at scale, inspired by Anthropic's Clio approach.
A developer built TracePilot, a lightweight zero-dependency npm SDK for AI observability to simplify debugging prompts in production, offering real-time latency, token costs, and error tracking.
Respan introduces an AI observability platform that automatically catches issues in traces, aiming to replace manual debugging for agent-based workflows.
Phoenix introduces Code Evaluators, allowing users to define evaluation strategies in Python or TypeScript directly in the UI, with server-side execution and composable scoring methods.
Datadog CEO Olivier Pomel will host a fireside chat with Hugging Face CEO Clément Delangue at DASH 2026 to discuss the rise of open AI ecosystems and the future of open-source collaboration.