Offer: Virgo is available for free to use within your infrastructure. Book a demo

Assemble the picture behind a failing system, fast.

At 2am you don't have time to page whoever built it. Virgo reassembles the relevant work history (what changed, the constraint it was protecting, the decision behind it), so you're debugging the real system, not your best guess about it.

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The story is scattered across tools and months

The deploy is in GitHub, the ticket is in Jira, and the reason is in a Slack thread from May. Each piece is easy to find alone. Nothing connects them, and at 2am there is no one to ask.

Ask once, and the trail comes back connected

Behind one question, Virgo walks the reasoning graph from the symptom to the change to the decision it protects, and returns the picture already assembled.

on-call: claude
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The same picture pays off for people and agents

Assembled once, it serves the engineer on call and the agent paged in beside them.

For engineers

Debug the real system, not your guess about it.

The change, the constraint it protects, and the incident that created it arrive connected. You know whether a fix is safe before you ship it, while the page is still open.

  • What changed: the deploy and the PR behind it.
  • What it protects: the constraint that made the change load-bearing.
  • What happened before: the prior incident on the record.
For AI agents

The agent respects what the system is protecting.

Hand an incident to an agent with no history and it suggests the rollback that reintroduces last month's outage. Give it the assembled picture and it reasons from the real constraint. Virgo retrieves it across the graph at query time, over MCP.

97%context retrieval accuracy

Up to 97% in early evaluations, versus about 68% for baseline RAG or hybrid search.

Built on Context retrieval → and Decision lineage →