Alternatives
Products that do what GitHub does
First multilingual (Arabic/English/...) LLM security gateway
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- 4OS
Hi HN, we’re Dylan and Matthew, building sublingual (https://github.com/sublingual-ai/sublingual), an open-source LLM observability tool you can use with zero code changes. As developers focused on iterating and building features as fast as possible, we felt observability would’ve been a helpful tool to have, but we found existing solutions had too much overhead to set up. So we gave ourselves the challenge of building an observability tool that you can integrate without changing a single line of code in your project. How it works Run your python application as usual with…
2025 · github.com
- 5OS
Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…
Oct 2025 · archestra.ai
- 6IE
Hi HN! GitSummarize is an open-source devtool that I made this weekend. Given any public GitHub repository it generates high-quality documentation from the codebase using Gemini 2.5 Pro. Specifically, it tries to extract the tribal knowledge, business logic/rules embedded within codebases. Pro Tip: You can replace "hub" with "summarize" in any repository URL to access its documentation. I created this because there was a steep learning curve to understanding some of the open-source codebases out there while getting started with contributing. Having detailed documentation would be…
2025 · gitsummarize.com
- 7WA
Today you can easily adopt AI coding tools because you have git for branching and rolling back if AI writes bad code. We haven't seen this same capability for data and decided to build it ourselves. Nile is a new kind of data lake, purpose built for using with AI. It can act as your data engineer or data analyst creating new tables and rolling back bad changes in seconds. We support real versions for data, schema, and ETL. We'd love your feedback on any part of what we are building - https://getnile.ai/ What do you think?
Jan 2026
- 8HI
Hey HN, the Common Crawl Foundation is trying to expand the coverage of our crawl to more languages, regions and cultures, and if you speak a language other than English (LOTE) you can help! By validating Language Identification data (LangID or LID): https://dynabench.org/tasks/text-language-identification By contributing urls for our seed crawl: https://github.com/commoncrawl/web-languages We're also organizing a Workshop on Multilingual Data Quality Signals (WMDQS) with MLCommons and EleutherAI where we have a call for papers open…
2025
- 9TF
A few weeks ago I got rejected from a role and the feedback was that I needed a deeper understanding of FAISS and LlamaIndex. So I built triage.flow — an AI assistant that lets you explore and understand GitHub repositories through a chat interface. It clones a repo, indexes it using FAISS + BM25 + tree-sitter parsing, and powers a full UI where you can: - Ask natural-language questions like “how does auth work?” or “explain @src/components/Modal.tsx” - Mention specific files/folders with @filename.ts (autocomplete supported) - See how the agent thinks in real time (Thought →…
2025 · github.com
- 10GD
I built a tool that converts GitBook docs into LLM-friendly markdown files. Perfect for feeding technical documentation into ChatGPT, Claude, or custom LLaMA models. GitHub: https://github.com/Amal-David/gitbook-downloader Key features: Downloads complete GitBook documentation sites Converts to clean markdown format Web interface for easy URL input Works with ChatGPT, Claude, and other LLMs Preserves document structure and internal links [Still some bugs here, need to fix it] Will publish a hosted version if there is enough interest. Ideal for: Training custom LLMs with…
2024 · github.com
- 11CL
With the right technique, I was able to break the so-called secure models like Claude and OpenAI. So, I built an open-source tool to automate this and find security holes in any hosted model. I got claude-sonnet-4 to demonstrate the following harmful behavior: - steal data from downstream tool calls using sql injection, code injection and template injection attacks - install spyware or malware using prompt obfuscation to send data to a third-party server Try it yourself with this simple command: pip install compliant-llm && compliant-llm dashboard
2025 · github.com
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Coding agents craft arbitrary code so securing them is more complicated than red-teaming. We post trained a cyber-security small llm, changed how it reasons and supplemented our controls using program analysis techniques such as inline reference monitoring to outperform GPT5.5-xhigh on hard benchmarks like LinuxArena and SleightBench. Free product available at harden.run and full benchmarks in the blog post.
9d ago · harden.run
- 13LO
Hi HN! I built LLM OneStop (https://www.llmonestop.com), a unified interface for accessing multiple AI language models in one place. The main problem I wanted to solve: constantly switching between different AI platforms, managing multiple subscriptions, and losing conversation context when comparing outputs across models. Key features: Switch between GPT-4, Claude, Gemini, Llama, and other models mid-conversation Compare responses side-by-side Single interface instead of juggling multiple tabs/subscriptions Free tier available to try it out (no credit card needed) "Connect"…
Nov 2025 · llmonestop.com
- 14LW
Apr 2026 · llmwiki.app
- 15MC
multilspy is a cross-platform library designed to simplify the process of creating language server clients to query and obtain results of various static analyses from a wide variety of language servers that communicate over the Language Server Protocol. It is easily extensible to support any language that has a Language Server and currently supports Java, Rust, C# and Python. We aim to continuously add support for more language servers and languages. Language servers are tools that perform a variety of static analyses on code repositories and provide useful information such as type-directed…
2024 · github.com
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Hey HN, We’re Volodymyr and Volodymyr—two developers from Ukraine building WhiteLightning. It’s a tool that turns large LLMs (Claude 4, Grok 4, GPT-4o via OpenRouter) into tiny ONNX text classifiers that run anywhere—even on drones at the edge. Why we built this: Many developers want custom models (spam filters, sentiment analysis, PII detection, moderation tools), but don’t want to deal with constant API calls or deploy heavy models in production. How it works: WhiteLightning uses LLMs to generate training data and distills it into KB-sized ONNX models you can run on any device and in any…
2025 · whitelightning.ai
- 17HM
I made this as a pair programming exercise with o1-preview. o1 did most of the heavy lifting, through high level prompts, but eventually I needed to diverge from it to get to completion. My initial prompt was: --- I'm making a web app: It's like 4chan, but each thread starts with a gps coordinate. People can only post text and images. I want to build it with flask and sqlalchemy. I want just the backend and data model that supports these threads, anonymous users, and users that can register a permanent username. Write as much of it as you can for me. --- This produced a fully scaffolded…
2024 · mapchan.com
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I wanted to share a project I've been working on for the past few weeks: llgtrt. It's a Rust implementation of a HTTP REST server for hosting Large Language Models using llguidance library for constrained output with NVIDIA TensorRT-LLM. The server is compatible with the OpenAI REST API and supports structured JSON schema enforcement as well as full context-free grammars (via Guidance). It's similar in spirit to the Python-based TensorRT-LLM OpenAI server example but written entirely in Rust and built with constraints in mind. No Triton Inference Server involved. This also serves as a demo…
2024 · github.com
- 19IB
Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…
Jan 2026 · github.com
- 20MA
Multilspy is a library that simplifies the use of language servers for static analysis of code. Language servers are tools that provide useful information about source code, such as code completion, symbol definition, references, etc. Multilspy abstracts the setup and communication with language servers, and exposes a common interface for different languages. Multilspy currently supports Java, Rust, C#, and Python, and can be easily extended to other languages. Multilspy is part of the monitors4codegen project, which introduces Monitor-Guided Decoding (MGD) for code generation using Language…
2023 · github.com
- 21IB
After years of struggling with onboarding to new projects, I got tired of spending weeks just trying to grasp the basics of a codebase. The README rarely tells the whole story, and "just read the code" isn't practical for large repos. I built RepoIQ to create personalized learning paths through any GitHub repository. It analyzes the codebase structure, identifies key components, and creates a step-by-step guide tailored to your learning needs.
2025 · repoiq.be
- 22LW
Apr 2026 · github.com
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Hey HN! For that last 8 months I've been trying to make agents that can hack web applications to find vulnerabilities in them - An AI Security Tester. The system has 29 agents in total, a custom LLM Orchestration framework which works on the task-subtask architecture (old-school but works amazingly for my use case, and is pretty reliable) with custom agent calling mechanism. No Auo-Gen, Langchain and Crew AI - Everything custom built for pentesting. Each test runs in an isolated Kali linux environment (on AWS Fargate), where the agents have full access to the environment to undertake any…
2025
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Hey HN! After using a combination of Unsloth and Axolotl a lot, and finding it generally painful to figure out the right performance tuning for things like batch sizing and multi-GPU sharding, I wrote a small Python lib that sets up known-good LoRA training configurations for Llama 3.1 8B and 70B Instruct, and includes helpers for distilling from larger models or training on serverless finetuning platforms, and includes a walkthrough for distilling DeepSeek-R1 into a Llama 3.1 8B LoRA... But you can use it for pretty much any finetuning task, not just distilling large models!
2025 · github.com
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