← Latest products

ML condenses billions of logs into a tiny snapshot your LLM can debug

Agent layer for observability. I believe that while other spaces have caught up to the AI wave, the observability space is still lagging behind, using the same tools and dashboards that we use to analyse logs from human-written code.

Open source

176 stars · GitHubexternal site

Visit github.comexternal site

Reactions (1)

Similar products

by description similarity

  1. AI Agents for engineering use cases like debugging

    github.com

    LLD,testing etc.

    Hacker News26 pts

  2. Real-time dashboard for Claude Code agent teams

    github.com

    Real-time observability of claude code sessions & multi-agents.

    Hacker News77 pts

  3. AISlop

    github.com

    a CLI for catching AI generated code smells

    Hacker News73 pts

  4. We built an AI tool for working with massive LLM chat log datasets

    hyperparam.app

    Explore and transform AI data in your browser with Hyperparam, or collect, analyze, and act on every agent session with HypAware.

    Hacker News16 pts

  5. RLM-based local debugger for AI agent traces

    github.com

    Hierarchal Agent Loop Optimizer

    Hacker News27 pts