Dunning retries — NLS-64
“trial”: 0 results. Billing search: config tickets only.
Virgo connects scattered engineering work across tickets, threads, docs, meetings, code, and AI workflows into a reasoning graph. Your agents retrieve context and trace decisions to the work that shaped them.
A single feature, incident, or migration spans tickets, threads, docs, meetings, PRs, and agent sessions. The artifact is visible; the reasoning that led to it is scattered.
“trial”: 0 results. Billing search: config tickets only.
Plans, Stripe subscriptions, invoicing. Card required up front.
The how, commit by commit. A payment method on day one, no why.
Two bullet points, both about invoices.
Half a day, nothing to build on. Maybe the agent can piece it together.
Proration, dunning, invoices. “trial”: no matches.
Pricing section: “future: trials.” Then nothing.
1h 47m recording. The requirements are in there somewhere.
“how do subscriptions get created?” Auto-reply: at an offsite.
Without company-grounded reasoning, agents rely on the current repo, chat, or workspace. Engineers keep re-explaining architecture, standards, ownership, and prior tradeoffs.
Virgo captures work as it happens across the engineering stack. It links people, decisions, constraints, artifacts, and downstream work in one reasoning graph.
Channel debates and the decisions behind them
What was said and agreed on calls
Pull requests, review threads, and history
Tickets, priorities, and status changes
Decisions and learnings saved back
Virgo links PRs, tickets, threads, docs, meetings, and code in a reasoning graph. Your agents follow the chain of decisions behind a change.
Connectors pull GitHub PRs, Jira tickets, Slack threads, Google Docs pages, and Google Meet transcripts, with SDK hooks for internal tools.
New work links into the reasoning graph as teams work: each commit, comment, and thread lands connected to the decisions around it. Webhooks and backfill jobs keep the history current, with source links preserved.
Virgo retrieves connected context for engineers and AI agents in the app and through MCP. Ask why the data grid uses virtual scrolling. Virgo ties the answer to the GitHub PR, Jira ticket, Slack thread, and meeting notes behind the decision.
Virgo links PRs, tickets, threads, docs, meetings, and code in a reasoning graph. Your agents follow the chain of decisions behind a change.
Connectors pull GitHub PRs, Jira tickets, Slack threads, Google Docs pages, and Google Meet transcripts, with SDK hooks for internal tools.
Virgo captures the reasoning around decisions: the constraints, debated alternatives, contributors, and downstream work. It ties that lineage back to the GitHub PR, Jira ticket, Slack thread, or doc.
When an agent learns a fix, Virgo preserves the lesson for the next engineer or agent.
Ask how an unfamiliar service works. Virgo rebuilds one answer from the GitHub PR that shipped it and the Slack thread behind it.
See the constraint behind odd-looking code, and the decision that put it there, before you change it.
Virgo ties each change to the decisions and constraints behind it. That context remains available through turnover and agent handoffs.
Deploy in your own cloud account or on-prem, with your existing access controls carried through to every agent query.
There's one MCP endpoint, no SDK required. Paste the config into Cursor, Claude, or anything MCP-compatible. Your agents start querying the graph.
{
"mcpServers": {
"virgo": {
"url": "https://your-team.virgo.fyi/mcp"
}
}
}