massaindustries

massaindustries / openclaw-logger

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An Easy Dashboard for exploring openclaw logs with AI

log logging openclaw openclaw-agent openclaw-extension
13
0
100% credibility
Found Feb 17, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A privacy-focused local web dashboard for real-time viewing, filtering, and AI-assisted analysis of OpenClaw AI agent session logs.

How It Works

1
🔍 Discover OpenClaw Logger

You hear about a handy tool that lets you peek inside your AI agent's work in real time, all on your own computer.

2
🚀 Launch the dashboard

With a quick start, your personal log viewer opens in the browser, ready to connect to your AI sessions.

3
📁 Point to your sessions folder

You tell it where your AI agent's conversation records are saved, and it starts watching for updates.

4
📋 Browse recent sessions

A list of your latest AI runs appears, showing how many steps each one took and when it happened.

5
🔎 Explore a session's story

Click into one to see every message, thought, and action unfold live, like reading a play-by-play.

6
✅ Pick key moments

Select important exchanges to focus on, building context for smarter questions.

7
💬 Chat for insights

Ask the AI helper about those moments, and it explains patterns, loops, or issues right there.

🎉 Unlock full transparency

Now you understand exactly what your AI agent did, debug easily, and improve its performance confidently.

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Star Growth

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AI-Generated Review

What is openclaw-logger?

OpenClaw Logger is an easy dashboard app built in TypeScript with a Next.js frontend and FastAPI backend, designed to track and analyze OpenClaw AI agent sessions in real time. Point it to your local sessions folder—via UI config or Docker env var—and it polls for JSON/JSONL logs every few seconds, displaying messages, tool calls, and timestamps with filters for roles like user, assistant, or tool. Add AI-powered chat to query selected logs contextually using providers like Regolo, OpenAI, Anthropic, Google, or Grok.

Why is it gaining traction?

It stands out with fully local processing—no data leaves your machine—and multi-provider AI debugging without black-box opacity, perfect for dissecting agent loops or tool failures. Docker Compose deploys backend/frontend in one command, and resizable panels let you tweak sessions/logs/chat layouts on the fly. Devs dig the zero-telemetry security model and EU-focused Regolo integration for compliant setups.

Who should use this?

OpenClaw users debugging agent runs, especially those building automation pipelines needing session transparency. AI engineers monitoring tool calls in production, or teams preferring local dashboards over cloud loggers like Home Assistant or Python-based viewers. Ideal for contributors to easy GitHub projects wanting quick session insights without setup hassle.

Verdict

Grab it if you're deep in OpenClaw—solid local dashboard with AI smarts beats manual log grepping. At 11 stars and 1.0% credibility, it's early (basic docs, no tests visible), so expect tweaks; fork-friendly for custom agents.

(198 words)

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