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A collection of awesome penetration testing resources, tools and other shiny things

A lightweight GPT model, trained to discover subdomains.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

For in cyber warfare, information is power, and time is the most valuable resource.

Protocol Buffers Dynamic Schema - create protobuf schemas programmatically

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

Official repo for Customized but Compromised: Assessing Prompt Injection Risks in User-Designed GPTs

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Giving the power of LLM's to a MUD lib.

Large Language Models for All, 🦙 Cult and More, Stay in touch !

C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.

Sample on how to run a LLM using LM Studio and interact with the model using Semantic Kernel.

Generative Agents: Interactive Simulacra of Human Behavior

🦜🔗 The platform for reliable agents.

Distribute and run LLMs with a single file.

LLM inference in C/C++

Create characters in Unity with LLMs!

Solutions from @PortSwigger labs

Strainghtforward utility to pentesting cognito sites

A quick example of how one can "synchronize" a 3d scene across multiple windows using three.js and localStorage

my path to Cesar CTF

Challenges created for the Tempest Academy Conference CTF, 2023 Edition.

The only GraphQL wordlist you'll ever need. Operations, field names, type names... Collected on more than 60k distinct GraphQL schemas.

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Easily train a good VC model with voice data <= 10 mins!

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