Agent Ruler new update v0.1.9

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I just released yesterday a new update for the Agent Ruler v0.1.9 What changed? - Complete UI redesign: now the frontend UI looks modern, more organized and intuitive. what we had before was just a raw UI to allow the focus on the back end. Quick Presentation: Agent Ruler is a reference monitor with confinement for AI agent workflow. This solution propose a framework/workflow that features a security/safety layer outside the agent's internal guardrails. This goal is make the use of AI agent safer and more secure for the users independently of the model used. Currently it supports Openclaw, Claude Code and OpenCode as well as TailScale network and telegram channel (for OpenClaw it uses the built-in telegram channel) Feel free to get it and experiment with it, GitHub link below I would love to hear some feedbacks especially security ones. Note: it has demo video&images on the GitHub in the showcase section

Visit product View on Hacker NewsMar 26, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, claude, model · Missing: mac, agents, macos

96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, users · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, users · Missing: plus, platform, reviews

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: just released, ide, io · Missing: https docs, excited, exist

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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