A developer posted a Show HN launch of AgentTrace, described as an observability and runtime self-healing engine for AI agents, with code on GitHub. It targets visibility into agent behavior and automatic recovery from runtime failures, a common pain point for teams deploying multi-step agents.
Medium article explains tracing, debugging, and monitoring AI agent workflows
Medium article explains tracing, debugging, and monitoring AI agent workflows
AgentSight is an eBPF-based observability tool for AI agents that requires no code changes. It provides deep insights into agent behavior and performance, helping developers debug and optimize AI agent systems.
AgentSight is an eBPF-based observability tool for AI agents that requires no code changes. It provides deep insights into agent behavior and performance, helping developers debug and optimize AI agent systems.
Telemetry.dev provides observability tools for coding agents and LLM applications, helping developers monitor, debug, and optimize AI-powered workflows. It solves the problem of understanding agent behavior and performance in production.
Telemetry.dev provides observability tools for coding agents and LLM applications, helping developers monitor, debug, and optimize AI-powered workflows. It solves the problem of understanding agent behavior and performance in production.
WeaveScope is an observability tool built in Elixir for monitoring and debugging AI agents. It provides tracing, metrics, and logging tailored to agent workflows, helping developers understand and improve agent behavior.
WeaveScope is an observability tool built in Elixir for monitoring and debugging AI agents. It provides tracing, metrics, and logging tailored to agent workflows, helping developers understand and improve agent behavior.
Agentmetry is a local-first flight recorder for AI coding agents, capturing and replaying agent sessions to debug and understand their behavior. It uses LLMs to analyze recorded traces and help developers troubleshoot agent workflows. The tool solves the problem of opaque agent behavior for developers building and debugging AI coding assistants.
Agentmetry is a local-first flight recorder for AI coding agents, capturing and replaying agent sessions to debug and understand their behavior. It uses LLMs to analyze recorded traces and help developers troubleshoot agent workflows. The tool solves the problem of opaque agent behavior for developers building and debugging AI coding assistants.