Vesper — Autonomous Incident Post-mortem Agent

Vesper is an autonomous multi-agent system that eliminates the most painful part of incident management: writing the post-mortem. Engineering teams lose critical institutional knowledge after every incident because post-mortems are manual, slow, and consistently skipped when teams are exhausted. Vesper solves this with a four-agent pipeline that runs automatically the moment an incident is triggered. The Ingestor Agent connects to Slack and Gmail, pulling every signal from incident threads, alerts, and email chains into a unified context. The Transcriber Agent submits war-room call recordings to Speechmatics, which returns a speaker-diarized transcript — identifying who said what, when. The Analyst Agent feeds the full context to Gemini Flash, which reasons across all signals to extract root cause, contributing factors, timeline, impact, and severity score as structured data. The Writer Agent then uses Gemini to compose a complete post-mortem document in Markdown, which is automatically indexed into a pgvector knowledge base for semantic search. The entire pipeline streams live to the frontend via WebSocket — judges and users can watch each agent step complete in real time on the incident detail page. Built on FastAPI, Next.js 15, PostgreSQL with pgvector, Redis, and Celery, Vesper is a production-grade system deployed on Vultr. The frontend features a glassmorphism dark UI with live agent feed, full post-mortem editor with inline editing, audio file upload, knowledge base search, and integration management for Slack, Gmail, and Speechmatics. Featherless provides an optional open-source model toggle — switching the Analyst Agent from Gemini to L