Kemforge
The Quantum-Safe curl: Test and verify ML-KEM/PQC endpoints.
What it does
A curl inspired CLI tool for web requests, with built in PQC support - ConnectingApps/kemforge
Does the same job
all alternatives →- FIfilippo.io/mlkem768 – Post-Quantum Cryptography for the Go Ecosystem2024 · words.filippo.io · ▲315
- CAChainForge, a visual tool for prompt engineering and LLM evaluation2023 · chainforge.ai · ▲177
Hi HN! We’re been working hard on this low-code tool for rapid prompt discovery, robustness testing and LLM evaluation. We’ve just released documentation to help new users learn how to use it and what it can already do. Let us know what you think! :)
- KRKVSplit – Run 2-3x longer contexts on Apple Silicon2025 · github.com · ▲272
I discovered that in LLM inference, keys and values in the KV cache have very different quantization sensitivities. Keys need higher precision than values to maintain quality. I patched llama.cpp to enable different bit-widths for keys vs. values on Apple Silicon. The results are surprising: - K8V4 (8-bit keys, 4-bit values): 59% memory reduction with only 0.86% perplexity loss - K4V8 (4-bit keys, 8-bit values): 59% memory reduction but 6.06% perplexity loss - The configurations use the same number of bits, but K8V4 is 7× better for quality This means you can run LLMs with 2-3× longer…
- KOKlarity – Open-source tool to analyze uncertainty/entropy in LLM output2025 · github.com · ▲132
We've open-sourced Klarity - a tool for analyzing uncertainty and decision-making in LLM token generation. It provides structured insights into how models choose tokens and where they show uncertainty. What Klarity does: - Real-time analysis of model uncertainty during generation - Dual analysis combining log probabilities and semantic understanding - Structured JSON output with actionable insights - Fully self-hostable with customizable analysis models The tool works by analyzing each step of text generation and returns a structured JSON: - uncertainty_points: array of {step, entropy,…
- KDKatakate – Dozens of VMs per node for safe code execOct 2025 · github.com · ▲124
I've built this to make it easy to host your own infra for lightweight VMs at large scale. Intended for exec of AI-generated code, for CICD runners, or for off-chain AI DApps. Mainly to avoid Docker-in-Docker dangers and mess. Super easy to use with CLI / Python SDK, friendly to AI engs who usually don't like to mess with VM orchestration and networking too much. Defense-in-depth philosophy. Would love to get feedback (and contributors: clear & exciting roadmap!), thx
- GCGivemeguid.com – CLI/curl friendly GUIDs2020 · givemeguid.com · ▲32
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Launched alongside, March 2026
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