Falconer

Falconer is a context engineering platform for the entire company. It turns the sprawl of Slack, code, docs, and tickets into one automatically maintained source of truth, and keeps it accurate as the codebase grows and teams collaborate. Most docs rot the day they ship: code changes, decisions move, and pages quietly go stale. Working with agents makes that urgent. Agents take a stale doc at face value and act on it, at machine speed, across every session at once. You can't fix that at inference time. It has to be kept true at the source. Falconer monitors your connected sources, detects when a document no longer matches the codebase, and proposes or makes the update automatically.

Falconer's agent searches across your documents, code, and connected tools to answer your teams questions, citing each answer to the correct source. Call the agent from document editor, from Slack, or from the command line. Prompt it to write new docs, draft runbooks and specs, file Linear issues, start working on meeting action items, and reorganize your knowledge structure into a clean hierarchy.

Falconer connects to the tools engineering teams already use, including GitHub, Linear, Slack, and Granola, and stays aware of your codebase and its history. It owns the entire knowledge lifecycle: generating docs from your code, updating them as the code changes, organizing them as you grow, and scoring knowledge health for drift and gaps at every step. The result is a company brain built as living infrastructure, a single source of truth that stays correct for both your team and the AI agents working alongside them.