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A zero-dependency Python library that restricts outbound network access at runtime. Declare an allow list, and every socket call outside it is blocked — supply chain defense, AI agent guardrails, and test isolation in a single line of code.
tetheredYour app's network firewall — in one function call.
Sergii Shcherbakleft a comment
Hey community! I built tethered because Python has no built-in way to restrict outbound network access at runtime. One function call, zero dependencies — declare an allow list and any socket call outside it is blocked before a packet leaves the machine. Uses Python's audit hook system (PEP 578), no monkey-patching or proxies. Built it mainly for supply chain defense (compromised deps can't...
tetheredYour app's network firewall — in one function call.
ContextGem is a free, open-source LLM framework that makes it radically easier to extract structured data and insights from documents — with minimal code.
ContextGemEffortless LLM extraction from documents
Sergii Shcherbakleft a comment
Huge congrats, Maxi - this is fantastic! Hard work clearly pays off! I'm in a similar situation: launching ContextGem (an open-source LLM framework) solo later today 😊. And just like you - no team yet, no paid ads, no lists. Instead, I've had the privilege of collaborating with amazing AI devs who have used my framework and provided valuable feedback. This is my first launch on Product Hunt, so...
I launched solo — and made it to the Top 5 today 🚀
Maxi CarrerasJoin the discussion
Sergii Shcherbakleft a comment
Hello Product Hunters! 👋 Meet ContextGem – our open-source framework that radically simplifies extracting structured data from documents with LLMs. ContextGem's powerful abstractions eliminate boilerplate code, cutting development time by 3-5x compared to other frameworks! ContextGem works with both cloud LLMs (OpenAI, Anthropic, etc.) and local models. Check us out: ⭐ GitHub:...
ContextGemEffortless LLM extraction from documents