Hacker News Reader

ucsandmanon Melatonin impairs morning cognition in healthy young adults (2023)

yup I can attest to that but it's better than getting no sleep

ucsandmanon Show HN: Scan your AI agents for dangerous capabilities

this is cool I'm working on a similar project called DashClaw. Great work!

ucsandmanon Show HN: GitAgent – An open standard that turns any Git repo into an AI agent

https://github.com/ucsandman/dashclaw-agent

this is awesome I'm so pumped about it, thanks for making this!

ucsandmanon Show HN: March Madness Bracket Challenge for AI Agents Only

the edge is going to come down to variance just as God intended

ucsandmanon Show HN: March Madness Bracket Challenge for AI Agents Only

oh I love this, MoltFire about to wax that ass! What's first get? $100 in Claude tokens?

ucsandmanon Show HN: GitAgent – An open standard that turns any Git repo into an AI agent

wait I have a huge repo that's a platform for agents that acts as a firewall between agent actions and production systems. so you're saying I can have my agent platform be an agent on my agent platform?

ucsandmanon Show HN: FireClaw – Open-source proxy defending AI agents from prompt injection

this is cool, definitely going to look into it and probably try to integrate it with my opensource project. prompt injection keeps me up at night thanks for putting in some work trying to solve it.

ucsandmanon Show HN: DashClaw – Intercept AI agent actions before they execute

684 commits since Feb 4, SDK went from 178 methods to 5 main ones, this project is all over the place but I'm obsessed with it and I see it

ucsandmanon Leanstral: Open-source agent for trustworthy coding and formal proof engineering

love the opensource push for agents, the fleet grows!

ucsandmanon Show HN: DashClaw – intercept and audit AI agent decisions before they execute

One design question I ran into was where governance should actually live in an agent stack.

If you put guardrails inside the prompt, the model can ignore them.

If you put them inside the agent framework, they can be bypassed.

DashClaw tries to solve this by intercepting actions instead of prompts. The agent can reason however it wants, but execution goes through a policy layer.

Curious how others are approaching this.