Announcing the Unpage Alpha release

Note: this open source project (formerly referred to as Aptible AI) is now called Unpage 🙂

Every incident starts the same: a lone alert fires, the responder scrambles to piece together what changed, who owns it, and how everything connects. Dashboards, runbooks, disparate Slack threads, and cloud consoles all hold fragments of the answer. Ultimately, this burns precious minutes while customers are already feeling the pain.

Unpage is tackling that problem in a new way — not by giving you an out-of-the-box solution, but by giving you a foundation upon which to build your own.

It first builds a live knowledge graph of your infrastructure, then it gives you an interface by which you can build and deploy your own production-ready AI agents that can read your infra graph, query real tools, and deliver an immediate, well‑informed response (often before your on-call engineers have even opened their laptops). It’s like giving every on‑call engineer an always‑up‑to‑date mental model of prod, plus a custom-built sidekick that can act on it when needed.

Today we’re shipping the first alpha release to a small group of design partners. What follows is a tour of everything you can try right now and how to get started 👇

Agent builder

Most alert responders waste minutes hunting for the right runbook; with router‑selected agents you get immediate, contextual actions instead.

• Declarative YAML agents: Define triggers, prompts, and tool ACLs in one file; no Python inheritance required.

• LLM‑powered router: Feed alerts, web‑hooks, or CLI payloads to the router and it chooses the right agent automatically.

• Starter templates: unpage agent create now scaffolds a fully‑working PagerDuty enrichment agent so you can iterate fast.
  
  

  

  
  

• Easy agent creation: Tweak your prompt template, test the agent to see results immediately, and continue refining until you’re happy with the results your agent is consistently returning

See docs for more info.

Knowledge graph builder

Agents can navigate this graph to understand “what talks to what,” pull metrics for upstream services, and trace blast‑radius automatically. This allows them to really understand your systems and gives you the ability to build agents that are actually useful to you and your specific context.

• Async graph build: Generates a directed graph of every resource, dependency, and owner without blocking your terminal.
  
  

  

  
  

• Profiles: Keep staging, prod, and personal sandboxes in separate graphs while sharing the same plugin configuration.

• Edge‑inference boost: Refactor drops relationship‑resolution time by ~95 %, so graphs with tens of thousands of nodes still feel snappy.

See docs for more info.

Plugins and tools

Plugins are the foundation of Unpage’s extensible architecture, allowing you to build the knowledge graph and provide the LLM with tools (more on that in a second). Each plugin is designed to bridge the gap between your infra and your LLM-powered agents.

Tools are the capabilities that allow Unpage agents to interact with your infrastructure and perform useful operations. They form the bridge between LLMs and real-world systems, enabling AI to take meaningful actions based on its analysis. This is what makes the agents truly useful by enabling them to actually interact with your infrastructure.

See docs for more info on plugins and tools.

To all our early alpha users: Thank you for testing Unpage at its shakiest; we can’t wait to hear what you build and where we can make it better.

👉 Github repo 👈