Self-Aware Infrastructure
We create a sense of silence.
Swap dashboards for Goals and alarms for Awareness.
Always-on incident intelligence for early detection and prevention of outages, cost anomalies and security breaches.
Built on CoALA memory, Kahneman's dual-system thinking and USE RED SIGNALS framework.
Early access is by invitation.
A live demo on sample data. Click into the desktop, scroll the phone, tap the watch.
Your always-on agent
A spot watches your infrastructure through Triage and keeps working when you are away. It holds its tasks, scope and conversation between visits, so it picks up where it left off.
A spot is a harness around the model: memory, tools, skills and a sandbox that run it, and connectors to Kubernetes, monitoring, cloud, messengers and MCP. The model can change; the harness is what keeps the spot the same agent.
Ask it in chat, talk to it by voice, or hand it a task and hang up: “prepare an RCA for each issue from last week” runs in the background. It will chat with you as a teammate.
Each spot runs in its own sandbox on Agent Substrate: an actor that suspends when idle, snapshots, and resumes with its tasks and conversation intact.
Reality testing for AI agents
ego samples live sessions from the OpenTelemetry traces your agents already emit, scores them, and alerts when quality drops. There is no SDK to add, and it never re-runs the agent.
A loop of sample, score, detect, diagnose, correct and verify. When scores drop, ego explains why, hands the diagnosis to the agent over MCP, records what the agent changed and checks that the scores recovered.
For an always-on agent like a spot, ego follows its work as one continuous thread. The spot reads its findings over MCP, makes one change per finding and learns from the verdict.
Your triage teammate
Tria knows your workspace: its services and how they call each other, its past issues, and what the team learned from them. Tria speaks first, when something matters, with what it knows.
When an issue opens or resolves, Tria says so in the workspace chat, with the likely cause from what the workspace has seen before, so the team sees it where it already talks.
Every issue adds to what Tria knows: patterns, facts and a map of how services connect. The next time something similar happens, the context is already there.
Talk to Tria in chat or by voice when you want more. Mention @tria in a workspace chat and the whole room sees the answer. Tria asks before any change.
Agentic memory substrate
xray is the memory under Triage and a research project in its own right. Everything an agent observes or concludes is a memory cell: searchable by meaning, linked into a living graph, consolidated by reflection and knowledge loops, and let go when it stops mattering.
The agent’s own prompts and mental maps live in the same memory, which is what makes self-improvement possible. Over MCP, xray is recall, remember and forget for any agent, not only Triage.
What Triage is built on, and who to thank for it.
A fast, cheap System 1 for the routine and a slow, deliberate System 2 for what deserves it. Triage answers with reflex rules and small models first and reasons only when the cheap answer is not enough.
Daniel Kahneman, Thinking, Fast and Slow, 2011 · white paper, section 2
Working, episodic, semantic and procedural memory as separate modules, with one decision loop over them. Triage lays its memory out the same way: issues and events as episodes, facts and patterns as knowledge, compiled rules as procedure.
Sumers, Yao, Narasimhan & Griffiths, Cognitive Architectures for Language Agents, 2023 · white paper, section 2
Utilisation, saturation and errors for resources. Rate, errors and duration for services. Latency, traffic, errors and saturation as the four golden signals. Triage measures every service with these three families, so a reading means what an SRE expects it to mean.
Brendan Gregg, The USE Method, 2012 · Tom Wilkie, The RED Method, 2015 · Google, Site Reliability Engineering, 2016 · white paper, section 5
The System 1 judge. Every event passes Jev for guardrail, routing, severity and prognosis: fast, cheap and bounded, the only model in the event path. Reasoning happens elsewhere, and only when Jev says it is worth it.
Spots run on Claude Code, Anthropic’s agent runtime: a persistent session in a sandbox with Triage’s tools over MCP, so a spot plans, reads and acts with the discipline of an engineer at a terminal.
Anthropic, Claude Code · spot
System 2 reasoning, reflection and knowledge run on Gemini through Vertex AI in the European Union. Voice is Gemini Live: Tria and the spots hold the session themselves and talk with you in real time.
Google, Vertex AI · Gemini Live API · subprocessors