hoop.labs is where the hoop.dev team ships standalone tools for teams running AI agents.
Each one solves a single problem. Free to use, local by default.
All projects
Blocks the catastrophic command before your agent runs it, and stays silent for everything else. Semantic guardrails for Claude Code with no denylist to evade.
Hands your agent a fake credential and swaps in the real one on egress, loaded from your OS keychain. The real secret never enters context or logs.
Cuts token spend where it actually burns: dev-command output entering agent context and API traffic from your scripts. Typically 60 to 90% savings on supported commands.
A dependency-free Go library that detects PII in-process: 45 entity types across 12 countries, checksum validated. No service to deploy, no network call.
One command scans your AI session logs locally, surfacing security risks, PII exposure, and unauthorized access before they become incidents.
Models labor savings, retained revenue, and time-to-value acceleration into payback plus 90-day, 1-year, and 5-year ROI. Partial inputs work.
These tools each solve one problem. hoop solves the whole class.
Credential isolation, guardrails, data masking, and full audit logs, enforced centrally across every agent and every protocol. That is the hoop.dev platform.