Queritae

Queritae turns a résumé into something a recruiter can actually use: a grounded agent they can interrogate, and an MCP endpoint their own AI tools can query directly. Ask it about a role, a decision, a project — it answers in the first person and links the exact file behind every claim.

Your experience lives as plain YAML and Markdown in a GitHub repo you own — one file per role, project, and skill. Queritae syncs it, pins it to a commit, and serves it at queritae.com/you (or your own domain). The knowledge base and the system prompt are public and auditable: anyone can read exactly what the agent knows and how it's instructed. If a fact isn't in the KB, the agent says so — and can forward the question to the human. Nothing hidden, nothing puffed up.

How it works

1. Point it at a repo. YAML facts + Markdown stories + a plain-Markdown system prompt, in a content repo you control.
2. It grounds an agent on exactly those files — with Anthropic prompt caching, so every answer after the first is cheap.
3. Share a link, or hand over /api/mcp so a recruiter's AI can interview you directly. Every answer traces back to its source.