A local privacy firewall for AI agents: masks secrets and personal data before a request leaves your machine and rest...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if latet belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/Latet-AI/latet ~/.claude/agents/latetRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/latetNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ ├─ agents/ │ └─ latet/ ← installs here └─ settings.json
A local privacy firewall for AI agents: masks secrets and personal data before a request leaves your machine and restores them in the answer. Claude Code, Codex, OpenCode and OpenAI-compatible agents.
Source: GitHub repository
Source check: October 25, 2026
Upstream commit: October 25, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.