Michaelliv

Michaelliv / runline

Public

⚡ Code mode for agents

agent api cli javascript npm
18
0
100% credibility
Found Apr 18, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Runline is a sandboxed JavaScript runtime bundled with plugins for 188 popular APIs, enabling safe execution of agent code to interact with services like GitHub, Slack, and Airtable.

How It Works

1
🪄 Discover runline

You hear about a safe toolbox that lets AI helpers use your everyday apps like email or task lists without risks.

2
💻 Get it ready

With one simple command, you bring runline to your computer – it's quick and easy.

3
🏠 Set up your space

Create a little folder where runline keeps your personal preferences safe.

4
🔗 Connect your apps

Link your favorite services like GitHub or Slack so everything works together smoothly.

5
✍️ Give simple instructions

Write easy sentences telling it what to do, like 'create a task' or 'send a message'.

6
🤖 Let AI take over

Your AI friend runs the instructions securely and gets real work done for you.

✅ Everything flows perfectly

Your tasks are handled automatically, safely, and just how you wanted – pure magic!

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AI-Generated Review

What is runline?

Runline lets you execute JavaScript in a secure QuickJS sandbox to chain API calls across 188 bundled plugins for SaaS like GitHub, Slack, Stripe, and Cloudflare. Install via npm, run `runline init` to set up connections with API keys, then `runline exec` code like `await github.issue.create({owner: "acme", title: "Bug"})`. It's code mode for AI agents and scripts, blocking direct network or filesystem access—only plugin actions work.

Why is it gaining traction?

Unlike scattered SDKs or verbose REST clients, runline bundles everything: no per-plugin installs, just add a connection and dot-chain globals like `brandfetch.brand.getColors("nike.com")`. The CLI outputs JSON for agents, with pi integration exposing actions via fuzzy pickers. Devs love the sandbox safety for untrusted code github ai workflows, plus extensibility for custom plugins.

Who should use this?

Backend devs automating DevOps pipelines across GitHub, CircleCI, and Docker. AI agent builders (pi, ollama code models) needing safe, structured API access without eval risks. Automation scripters chaining CRM (HubSpot, Pipedrive) with email (SendGrid) or payments (Stripe).

Verdict

Grab it for agent code github cli experiments—188 plugins deliver instant value. At 18 stars and 1.0% credibility, it's early (light tests, nascent docs), so prototype cautiously; pair with dripline for query mode.

(198 words)

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