Alternatives
Products that do what Kemforge does
The Quantum-Safe curl: Test and verify ML-KEM/PQC endpoints.
- 1FI
2024 · words.filippo.io
- 2CA
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! :)
2023 · chainforge.ai
- 3KR
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…
2025 · github.com
- 4KO
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,…
2025 · github.com
- 5GC
2020 · givemeguid.com
- 6

- 7MQ
2023 · codeberg.org
- 8PA
I recently dipped my toes into bug bounty hunting and finding security flaws in web applications. As a friend of UNIX shells I was building a repertoire of command line tools to make and analyze HTTP requests. Fortunately there are already many suitable tools like curl, jq, different fuzzers and some really nice tools for specific tasks by Tom Hudson [1]. However, I disliked that the existing fuzzers were monoliths where I had no easy way of creating custom behavior or analyses. They commonly do a multitude of things: Create multiple requests using one or more wordlist, sending the request,…
2024 · github.com
- 9BA
Bash4LLM is a single-file Bash wrapper for interacting with LLMs from the terminal. I created it because I wanted something simple that worked without installing Python, Node, or any other runtime. It uses only Bash, curl, and jq. You can send prompts, start a small chat, process files line by line, stream output, and save session metadata in JSON format. I tried to make it safe and predictable: no use of the system /tmp, no use of eval. Groq is supported by default, and other providers can be added with dedicated Bash scripts in the extras/providers/ folder. Example: echo…
Jun 2026 · github.com
- 10HA
2012 · falcao.it
- 11

Dozens of CLI tools executed by curl, no signup required
Jul 2026 · curlhub.sh
- 12AT
I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
2025 · llmapitest.com
- 13LL
I wanted to run AI from inside the JVM. I started out with the standard REST sidecar, ripped that out to use Project Panama (Foreign Function & Memory API) in the new JDK versions to interface directly with llama.cpp. I still wasn't happy with how that functioned, so I built libargus.cc to get a clean ABI to expose a structured API up in the JVM landscape. It still uses Project Panama to interface directly with llama.cpp, whisper.cpp, and ggml compute graphs. I have zero-allocation on the hot paths, memory segments for prompts and tokens are allocated once inside confined Arenas. Raw…
Jul 2026 · github.com
- 14MN
This is an educational reference implementation showing how to build reasonably secure, standards-compliant authentication from first principles on Cloudflare Workers. Stack: Hono, Turso (libSQL), PBKDF2-SHA384 + normalization + common-password checks, JWT access + refresh tokens with revocation support, HTTP-only SameSite cookies, device tracking. It's deliberately minimal — no OAuth, no passkeys, no magic links, no rate limiting — because the goal is clarity and auditability. I wrote it mainly to deeply understand edge-runtime auth constraints and to have a clean Apache-2.0 example that…
Feb 2026 · github.com
- 15EC
Hey all, As a CEO of a growing startup I don't get to code as often as I like and when I do, I try not to annoy my team with my terrible code :) So to scratch the itch, I've built some of side projects related to what our company does. The latest is embedcurl.com I see a lot of API docs and blogs posting curl commands that are really hard to read and I figured I could make them easier to read and add some niceties like easier copy/paste, tooltips on flags, etc. They also gracefully degrade if javascript isn't enabled back to a element. The parsing is done in Python with shlex and…
2013
- 16LT
Current AI-assisted CLI tools are often part of larger systems and work better on Linux. I built llm-term to address these. It's a Rust-based tool that compiles into a single binary file. You only need to download the binary, add it to your PATH, and configure your OpenAI key to get started. While llm-term offers an option for gpt-4o, it works great with gpt-4o-mini. So it's not costly. I appreciate any feedback or suggestions.
2024 · github.com
- 17AS
There are plenty of good tools for load testing such as JMeter, Minigun, and plenty more - but they all have their own set of options to learn. I built this one to support a simpler workflow where you just paste your curl request (or other cli command) after your `spam` config (literally just `spam -r 2 -- curl www.google.com). It's pretty barebones but I'm 100% going to use it in my day to day - figured I'd share it here if it helped anyone else!
2023 · github.com
- 18CR
2018 · github.com
- 19TP
Hi HN, we are the developers from Tuta (formerly Tutanota), the German end-to-end encrypted email provider, and we recently released the world's first post-quantum encryption for email. We have included a full technical write-up of the cryptography involved in these changes and we have released it for open public review. This document specifies TutaCrypt, a protocol designed for hybrid email encryption in Tuta Mail. The protocol combines a classical Elliptic-Curve-Diffie-Hellman key exchange with a post-quantum KEM. The goal is to replace the usage of RSA in Tuta Mail. In the remainder of…
2024 · tuta.com
- 20DA
Over the past few months, I have built a distillation toolkit that supports cross-tokenizer distillation (e.g., distilling from LLaMA to Qwen vocab, or others). This approach has worked well on reasoning datasets like AIME, and we’ve validated on models like Phi and Qwen. We’ve also integrated Modal for quick deployment (with $30/month credits to try it out). Would love any feedback! GitHub: https://github.com/agokrani/distillKitPlus Docs: https://distillkitplus.mintlify.app/
2025 · github.com
- 21

- 22M1
Got tired of every MCP example being overly verbose, or needing Docker or Mac-only scripts, so I threw together MCP-123. Point it at a tools.py, run `server.run_server(...)`, and the client auto-discovers/calls functions with OpenAI. I hope this is useful to you all.
2025 · github.com
- 23CC
curlmin is a CLI tool that minimizes curl commands by removing unnecessary headers, cookies, and query parameters while ensuring the response remains the same. This is especially handy when copying a network request "as cURL" in Chrome DevTools' Network panel (Right-click page > Inspect > Network > Right-click request > Copy > Copy as cURL). I use Chrome's "Copy as cURL" _a lot_ (so much, in fact, that I wrote https://github.com/noperator/sol partially just to help me auto-format long curl commands). I often have this problem where the copied curl command contains a bunch…
2025 · github.com
- 24MC
I built murl because interacting with MCP (Model Context Protocol) servers from the command line was way more painful than it needed to be. MCP uses JSON-RPC 2.0 over HTTP, so every request means hand-crafting payloads with method names, params objects, and id fields. I wanted something that felt like curl. Given an MCP server at https://mcp.deepwiki.com/mcp, murl lets you append virtual paths like /tools or /tools/read_wiki_structure that map to MCP methods. These aren't real HTTP endpoints — murl translates them into the right JSON-RPC calls behind the scenes:…
Feb 2026 · github.com
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