Pluggable controls for reliable AI agents: validated outputs, bounded loops and frozen collective decisions.
Last commit October 4, 2026, 39 days ago.
62 GitHub stars and 0 Honeystax upvotes. 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.
Starts at 6. Added: last commit 39 days ago +7, GitHub health not measured +10, no security policy +8, no contributing guide +4, no code of conduct +3.
AI Agent
OpenClaw
Model
Multiple
Fastest way to find out if Rulora 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/Buffalo2024/Rulora ~/.claude/agents/ruloraRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/ruloraNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ ├─ agents/ │ └─ rulora/ ← installs here └─ settings.json
Rulora is listed on Honeystax as an Agent for OpenClaw, since October 4, 2026. Its code is at github.com/Buffalo2024/Rulora, with 62 GitHub stars. Last commit October 4, 2026, 39 days ago.
Source: GitHub repository
Source check: October 4, 2026
Upstream commit: October 4, 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.