gillkyle

Pipe logs from all your dev servers into a single place accessible to your agents.

57
3
100% credibility
Found Feb 10, 2026 at 42 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Agent-tail saves development server output and browser console messages to plain text files that AI coding tools can easily read and search for faster debugging.

How It Works

1
💡 Discover agent-tail

While using your AI coding helper to build an app, you hear about a handy tool that saves all server chatter and browser notes into simple files your AI can easily scan.

2
📥 Bring it home

You add this friendly helper to your project in moments, like welcoming a new teammate.

3
🔌 Link it to your app

Connect it to capture messages from your running app – whether server talk or browser whispers – with a few easy tweaks that feel effortless.

4
▶️ Start your playground

Launch your development session, and everything hums along as usual, but now smarter.

5
📁 Find your log treasures

Peek into the cozy log folder where neat files hold every message, timestamped and tidy, always pointing to the freshest ones.

🧠 AI reads and fixes fast

Share the files with your AI buddy – it greps for clues, understands errors perfectly, and suggests spot-on fixes, making debugging a breeze.

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Star Growth

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AI-Generated Review

What is agent-tail?

Agent-tail pipes stdout/stderr from any dev server—Node, Python, Go, whatever—plus browser console logs from Vite or Next.js apps into timestamped files under tmp/logs, with a latest symlink for easy tailing. Run multiple services via CLI like agent-tail run 'fe: npm run dev' 'api: uv run server', getting per-service logs and an interleaved combined.log. TypeScript CLI and plugins make it dead simple for AI agents like Cursor or Claude to grep exact errors, stacks, and timestamps without copy-paste drudgery.

Why is it gaining traction?

It dumps everything to plain files—grep, awk, tail out of the box—no MCP servers, connections, or token-wasting schemas. Filter HMR noise or mute chatty services while keeping full logs; monorepo-friendly with turbo/nx via init/wrap. Beats brittle pipe docker logs to file hacks or logstash pipe complexity by auto-managing sessions, pruning old ones, and gitignore warnings.

Who should use this?

Fullstack devs juggling FE dev servers, APIs, and workers who feed runtime errors to AI coders. Vite/Next.js users debugging browser uncaught errors or promise rejections alongside server output. Monorepo teams wanting unified logs without custom logstor pipe insulation scripts.

Verdict

Grab it now if you're on Cursor/Claude—low friction payoff is huge despite 24 stars and 1.0% credibility score signaling early days. Solid docs and tests, but watch for rough edges in non-Node stacks; maturity will come with adoption.

(198 words)

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