charlietlamb

charlietlamb / openlogs

Public

give agents access to your logs

openlogs.dev
99
0
100% credibility
Found Mar 16, 2026 at 99 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

OpenLogs captures output from local development commands into clean log files that AI coding agents can read to provide accurate debugging help based on runtime events.

How It Works

1
🌐 Discover OpenLogs

You find a helpful tool that lets your AI coding buddy see exactly what your project is saying while it runs.

2
📥 Get the log saver

You add a simple helper to your computer that grabs all the messages from your project runs.

3
🚀 Run your project with log capture

You start your usual project as normal, but now it quietly saves a clean record of every message and event.

4
🔍 Peek at recent messages

You or your AI buddy can instantly view the latest saved messages to see what happened.

5
🧠 Teach your AI the trick

You share a quick guide with your AI so it knows to check these logs automatically during help sessions.

✅ Debug like magic

Your AI now spots issues instantly with real details from your project, saving you tons of back-and-forth.

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Star Growth

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AI-Generated Review

What is openlogs?

OpenLogs is a TypeScript CLI that prefixes your dev commands—like `openlogs bun run dev`—to capture raw terminal output and cleaned text logs into a `.openlogs` directory. It solves the frustration of AI agents guessing at bugs without runtime context by letting them tail logs directly with `openlogs tail -n 100` or query command-specific runs like `openlogs tail dev`. Agents get real product, API, and infra events to trace requests and debug failures accurately.

Why is it gaining traction?

Unlike manual log pasting or complex log shippers, OpenLogs gives agents seamless read access to private repo logs via simple CLI tails, with raw or cleaned options and automatic history. The bundled skill teaches agents like GitHub Copilot or Cursor when to check `.openlogs/latest.txt`, cutting context switches. A polished Next.js web demo previews logs live, hooking devs who give GitHub Copilot context from local runs.

Who should use this?

Fullstack devs debugging Next.js or Bun servers locally with AI agents like Claude Code or Cursor. Backend engineers tracing API failures without uploading logs. Teams giving agents access to private repo outputs during pair-programming sessions.

Verdict

Try it if you're deep into agent-driven dev—solid docs, CLI flags, and tests make setup dead simple, despite 99 stars and 1.0% credibility signaling early days. Pair with the skill for hands-off debugging wins.

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