AgentRail is the open-source task lifecycle layer for coding agents. Agents can write code — the hard part is everything else: picking the right ticket, watching CI, incorporating review feedback, merging when it's ready. It connects agents to GitHub, Linear, and CI with structured typed events instead of raw webhooks and log walls. - Per-agent scoped auth - Rules-based task-> agent routing, - structured CI summaries. - Apache 2.0 licensed. Runs locally.
I'm Onyeka, and I've been obsessed with one problem: coding agents can write great code, but they can't close a ticket.
They miss CI failures. They don't know which issue to pick up next. They lose context on review comments. You end up babysitting them instead of letting them ship.
That's after spending a couple hours of your day setting this all up.
**The problem** 👀 Every agent integration I saw was the same: dump GitHub webhooks at your agent and hope for the best. Raw log walls. No structure. No routing. The agent burns context just parsing noise.
What we built ⚡ AgentRail is an open-source task lifecycle API that gives coding agents a real dev loop: - 📥 GitHub Issues and Linear tickets become routable tasks automatically - 🔁 CI results come back as structured summaries — not raw log walls - 🔍 PR review comments are ranked by severity (blocking vs. advisory) - 🔑 Per-agent scoped API keys — each agent only touches what it needs - 🏠 Runs entirely locally, no account required
**How to try it** 🚀 npm install @agentrail-core/cli — that's it.
Completey free for self-hosted, contributions are more than welcome!
Agentrail is in the very early stages, and actually launched earlier than planned to make it for Vercel Day! So please, break it, roast the hell out of it, all feedback is welcome/
Would love to hear from anyone running Claude Code, Codex, or Cursor agents at scale. What's the first thing that breaks when you have more than one task running? 🙏
the webhook → raw json → custom parser loop is the part of agent infra i hate most. how heavy is the setup?
Honestly, the babysitting part is the biggest bottleneck with coding agents right now. Most tools just dump webhooks and hope for the best. I am curious about how does the structured CI summary handle complex logs from something like a massive monorepo without losing the specific error context for the agent?
A local control plane for coding agents is a huge win for security-conscious teams. Does AgentRail support fine-grained permissions for what files an agent can actually modify?
About AgentRail on Product Hunt
“A local control plane for AI coding agents”
AgentRail launched on Product Hunt on May 15th, 2026 and earned 79 upvotes and 7 comments, placing #31 on the daily leaderboard. AgentRail is the open-source task lifecycle layer for coding agents. Agents can write code — the hard part is everything else: picking the right ticket, watching CI, incorporating review feedback, merging when it's ready. It connects agents to GitHub, Linear, and CI with structured typed events instead of raw webhooks and log walls. - Per-agent scoped auth - Rules-based task-> agent routing, - structured CI summaries. - Apache 2.0 licensed. Runs locally.
AgentRail was featured in Developer Tools (512.4k followers), Artificial Intelligence (468.5k followers), GitHub (41.2k followers) and Vercel Day (8 followers) on Product Hunt. Together, these topics include over 182.7k products, making this a competitive space to launch in.
Who hunted AgentRail?
AgentRail was hunted by Onyeka Nwamba. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how AgentRail stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Onyeka Nwamba
Hey Product Hunt 👋
I'm Onyeka, and I've been obsessed with one problem: coding agents can write great code, but they can't close a ticket.
They miss CI failures. They don't know which issue to pick up next. They lose context on review comments. You end up babysitting them instead of letting them ship.
That's after spending a couple hours of your day setting this all up.
**The problem** 👀
Every agent integration I saw was the same: dump GitHub webhooks at your agent and hope for the best. Raw log walls. No structure. No routing. The agent burns context just parsing noise.
What we built ⚡
AgentRail is an open-source task lifecycle API that gives coding agents a real dev loop:
- 📥 GitHub Issues and Linear tickets become routable tasks automatically
- 🔁 CI results come back as structured summaries — not raw log walls
- 🔍 PR review comments are ranked by severity (blocking vs. advisory)
- 🔑 Per-agent scoped API keys — each agent only touches what it needs
- 🏠 Runs entirely locally, no account required
**How to try it** 🚀
npm install @agentrail-core/cli — that's it.
Completey free for self-hosted, contributions are more than welcome!
Agentrail is in the very early stages, and actually launched earlier than planned to make it for Vercel Day! So please, break it, roast the hell out of it, all feedback is welcome/
Would love to hear from anyone running Claude Code, Codex, or Cursor agents at scale. What's the first thing that breaks when you have more than one task running? 🙏