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ucsandman

yup I can attest to that but it's better than getting no sleep
this is cool I'm working on a similar project called DashClaw. Great work!
https://github.com/ucsandman/dashclaw-agent

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

Re: on Tuesday March 17, 2026 @02:43PM (#47416538)
the edge is going to come down to variance just as God intended
Re: on Tuesday March 17, 2026 @02:42PM (#47416530)
oh I love this, MoltFire about to wax that ass! What's first get? $100 in Claude tokens?
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?
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.
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

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

I kept finding out what my agents did after the fact. Logs, traces, error reports. By then the action had already happened. I wanted a way to stop the action before it executes, present context to a human, and record the decision. That layer didn't exist, so I built it.DashClaw sits between your agents and their actions. Every action goes through a policy check before it runs. The agent waits...

( Read More... | 1 comment | on HN )
love the opensource push for agents, the fleet grows!
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.

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

https://github.com/ucsandman/DashClaw

Hi HN,I’ve been experimenting with autonomous agents for the past year, and I kept running into the same uncomfortable problem:Agents were making decisions I couldn’t fully see or justify.They could call tools, trigger actions, and make assumptions based on incomplete context. Once systems start touching real infrastructure, that becomes pretty scary.So I built DashClaw.DashClaw sits between an...

( Read More... | 2 comments | 2 points | on HN )