Aegis is a collaborative multi-agent platform designed to automate high-stakes workflows like production SRE incident response and career operations. Instead of relying on a single generalist chatbot, Aegis orchestrates a war room of five specialized AI agents—Observer, Diagnostician, Remediator, Validator, and Commander—that communicate and collaborate in real-time over the Band messaging bus. For SRE incident response, Aegis transforms how teams handle severe production failures (SEV1). An Observer monitors live metrics; upon detecting a latency spike, it alerts the Diagnostician. The Diagnostician traces the root cause (such as a deployment-induced memory leak) and hands it to the Remediator. Rather than immediately applying changes, the Remediator's proposals are stress-tested by the Validator using a chaos replay system. If a proposal fails the replay, it is rejected and revised. To ensure absolute safety, the Commander gates final production rollbacks behind a single human approval step and writes postmortems automatically. For career operations, the same room adapts to resume parsing, matching, and tailoring. The Observer extracts skills from uploaded resumes, the Validator queries live postings via the Adzuna API to calculate overlap scores, the Tailor re-emphasizes real skills without fabricating credentials, and the Applier programmatically emails or queues packages. Every run is persisted in SQLite, allowing users to review logs and download audit-compliant PDF/Markdown reports.
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