HackerTrans
TopNewTrendsCommentsPastAskShowJobs

QaysHaji

no profile record

Submissions

[untitled]

1 points·by QaysHaji·3 ay önce·0 comments

[untitled]

1 points·by QaysHaji·3 ay önce·0 comments

Show HN: Azurite – Triage Linear and GitHub issues using MCP (Deck of Cards UI)

azurite-labs.vercel.app
3 points·by QaysHaji·6 ay önce·1 comments

Azurite – Tinder for workspace decisions (clear your queue over one coffee)

azurite-labs.vercel.app
1 points·by QaysHaji·6 ay önce·0 comments

Runiq – A local, sovereign runtime for AI Agents (MCP)

github.com
2 points·by QaysHaji·7 ay önce·1 comments

comments

QaysHaji
·6 ay önce·discuss
[dead]
QaysHaji
·7 ay önce·discuss
Hi HN — I built Runiq: a local “sovereign runtime” that lets LLM agents (Claude Desktop, local Llama, etc.) use hardened tools to interact with your OS, instead of executing arbitrary shell/Python.

Runiq implements Anthropic’s Model Context Protocol (MCP) and exposes a small set of controlled capabilities:

Stealth Chromium browser for scraping/automation (aimed to survive common bot checks)

File operations and local workflow tools

Human-in-the-loop security: native OS popups block risky actions (write/delete/etc.) until you approve

It ships as a single static Go binary (no venv/daemon). It’s localhost-only and auditable; if you pair it with a local model, nothing leaves your machine. There’s also an optional Python adapter to use the same tool interface with OpenAI/Groq/LangChain-style agents.

Repo: https://github.com/qaysSE/runiq

I’d love feedback on the MCP implementation in Go, and on the security/UX tradeoffs for permission-gated agent actions.