Releases·Tool Release
Obyflow – open-source, CLI-first observability tool for debugging AI apps
Obyflow, an open-source and free CLI-first observability tool for debugging AI applications, has been released on GitHub. It consolidates traces, LLM calls, vector searches, errors, and framework steps into one view to help developers diagnose failures. Its release gives practitioners a dedicated debugging path for AI apps without a paid platform.
1 engagement1 sourceSat, Sep 12, 2026, 05:22 AM
AI Overview
- Obyflow combines traces, LLM calls, vector searches, errors, and framework steps in one open-source tool, with code available on GitHub
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Products·launched
LLMxRay: open-source observability tool for LLMs
LLMxRay is an open-source observability tool for LLM applications. Posts give little detail on how LLMs are used internally; it addresses the need for developers to trace, monitor, and debug LLM behavior. Intended for developers building LLM-powered apps who lack visibility into model calls.
LLMxRay is an open-source observability tool for LLM applications. Posts give little detail on how LLMs are used internally; it addresses the need for developers to trace, monitor, and debug LLM behavior. Intended for developers building LLM-powered apps who lack visibility into model calls.
1 engagement1 sourcehackernewsSun, Oct 11, 2026, 09:17 PM
Releases·Tool Release
Blazo: open-source local, real-time observability for AI agents (MVP on GitHub)
Blazo, an open-source observability product for AI agents, is available on GitHub as an MVP. It ingests agent telemetry — runs, traces, tool calls, LLM calls, errors, latency, tokens — and shows execution live in a local UI with no account required. It targets developers debugging why agents are slow, stuck, or failing, and is explicitly not an agent builder, playground, or evaluation platform.
Blazo, an open-source observability product for AI agents, is available on GitHub as an MVP. It ingests agent telemetry — runs, traces, tool calls, LLM calls, errors, latency, tokens — and shows execution live in a local UI with no account required. It targets developers debugging why agents are slow, stuck, or failing, and is explicitly not an agent builder, playground, or evaluation platform.
45 engagement1 sourcegithubSun, Sep 27, 2026, 01:55 PM
Releases·Tool Release
I put app spans, Sentry errors and LLM calls into one trace. Here's what that fixed for debugging.
A founder released Axonpush, a debugging tool that merges application OpenTelemetry spans, Sentry exceptions, and LLM/tool calls onto a single trace. The motivation: AI feature bugs usually originate in the app or a tool, not the model call, and engineers currently stitch timestamps across separate observability tools. The tool also pipes failed runs to coding agents like Claude Code with the trace as context.
A founder released Axonpush, a debugging tool that merges application OpenTelemetry spans, Sentry exceptions, and LLM/tool calls onto a single trace. The motivation: AI feature bugs usually originate in the app or a tool, not the model call, and engineers currently stitch timestamps across separate observability tools. The tool also pipes failed runs to coding agents like Claude Code with the trace as context.
1 engagement1 sourceredditSat, Sep 26, 2026, 08:21 PM
Products·launched
Oodle.ai: Agent observability platform at $10 per million traces
Oodle.ai is an observability platform for AI agents that captures full-fidelity traces to detect silent failures like tool errors, hallucinations, and fake success messages. It provides fast search across millions of LLM spans and proactive flagging of issues, targeting AI-native teams shipping agentic experiences.
Oodle.ai is an observability platform for AI agents that captures full-fidelity traces to detect silent failures like tool errors, hallucinations, and fake success messages. It provides fast search across millions of LLM spans and proactive flagging of issues, targeting AI-native teams shipping agentic experiences.
12 engagement1 sourceredditWed, Jul 15, 2026, 07:07 AM
Releases·Tool Release
I sorted 144 open-source LLMOps tools by GitHub stars (tracing, evals, gateways, guardrails), refreshed weekly
A Reddit user released a curated GitHub list, awesome-llmops-platforms, cataloging 144 open-source LLMOps tools across 9 production categories. Tables are sorted by GitHub stars and refreshed weekly via GitHub Action, with license and maintenance status verified by hand. It offers practitioners a maintained directory covering tracing, evals, gateways, and guardrails without papers or agent frameworks.
A Reddit user released a curated GitHub list, awesome-llmops-platforms, cataloging 144 open-source LLMOps tools across 9 production categories. Tables are sorted by GitHub stars and refreshed weekly via GitHub Action, with license and maintenance status verified by hand. It offers practitioners a maintained directory covering tracing, evals, gateways, and guardrails without papers or agent frameworks.
24 engagement1 sourceredditFri, Oct 9, 2026, 06:48 PM