mandarwagh9

mandarwagh9 / MachineAuth

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MachineAuth provides authentication and permission infrastructure that allows AI agents to securely access APIs, tools, and services.

auth.writesomething.fun
50
1
100% credibility
Found Feb 24, 2026 at 17 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

MachineAuth is a self-hosted service providing secure machine-to-machine authentication for AI agents using standard flows and a web dashboard for management.

How It Works

1
👀 Discover MachineAuth

You find a handy tool that lets your AI helpers safely log into online services without sharing passwords.

2
🚀 Get it running

You download and start the service on your computer or server in just a few moments.

3
🤖 Create your first AI helper

Through a simple web page, you name your AI helper and choose what it can access, like reading or writing data.

4
🎫 Get a secure pass

Your helper receives a unique pair of login details to prove who it is when connecting.

5
🔓 Unlock protected areas

Use the pass to get a temporary key that lets your helper enter secure online spots safely.

6
📊 Manage your helpers easily

View, update, or rotate passes for all your AI helpers right from the friendly web dashboard.

✅ AI helpers connected securely

Now your AI agents chat safely with services, everything protected and under your control.

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AI-Generated Review

What is MachineAuth?

MachineAuth is a self-hosted Go server delivering secure OAuth 2.0 client credentials authentication for AI agents and machine-to-machine APIs. It lets you create named agents with scopes, issue RS256-signed JWT tokens via /oauth/token, and verify them on protected endpoints like /api/secret—all backed by simple JSON storage, no database required. Deploy with Docker or one Go command, manage via React web UI, and integrate via curl, Python, Node, or Go clients.

Why is it gaining traction?

Zero dependencies and blazing Go speed make it a cookie secure OAuth2 proxy alternative without Keycloak bloat. Built-in JWKS endpoint, scope checks, and bcrypt secrets handle secure OAuth access properly, plus a live demo proves it works with real AI agents hitting protected APIs. Devs love the quickstart curl flows for oauth2 secure rest client credentials auth manual testing and agent rotation.

Who should use this?

AI engineers securing agents for API calls, like how to secure GitHub Copilot or autonomous bots accessing secure APIs with OAuth2. Backend teams building oauth2 secure rest api for M2M, or ops folks protecting GitHub Actions and private repositories. Small teams wanting secure OAuth app access without enterprise overhead.

Verdict

Solid prototype for secure API with OAuth2 in agent workflows, but 1.0% credibility score and 15 stars signal early maturity—docs shine, but add tests and revocation before prod. Try the live demo at auth.writesomething.fun if you need it now.

(198 words)

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