I’m Oneka, and I suffer from a problem: Coding agents can write great code, but they can’t close tickets.
They remember CI failures. They don’t know which issue to raise next. They lose context on review comments. Instead of sending them on the ship, you take care of the children.
This is after spending a few hours of your day setting it all up.
**Problem** 👀
Every agent integration I saw was the same: dump a GitHub webhook onto your agent and hope for the best. Raw wooden walls. No structure. No routing. The agent burns the context by simply parsing the noise.
What did we make?
AgentRail is an open-source task lifecycle API that gives coding agents a real dev loop:
– 📥 GitHub issues and linear tickets automatically become inactive tasks
– 🔁CI results come back as structured summaries – not as raw log walls
– 🔍 PR Review comments are sorted by severity (blocked vs. advisory)
– 🔑 Per-agent scoped API keys – each agent only touches what they need
– 🏠 Runs completely locally, no account required
**How to try it** 🚀
npm install @agentrail-core/cli – that’s it.
Completely free to self-host, contributions welcome!
AgentRail is in very early stages, and has actually launched earlier than planned to make it to Vercel Day! So please, smash it, fry it, all feedback is welcome/
Would love to hear from anyone running cloud code, codecs, or cursor agents at large scale. What’s the first thing to break when you have more than one thing going on? 🙏
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