AI tools for AI tool for enforcing internet usage policies on social media platforms
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sgr-deep-research
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prompt-injection-defenses
This repository provides a collection of tools and techniques for defending against injection attacks in software applications. It includes code samples, best practices, and guidelines for implementing secure coding practices to prevent common injection vulnerabilities such as SQL injection, XSS, and command injection. The tools and resources in this repository aim to help developers build more secure and resilient applications by addressing one of the most common and critical security threats in modern software development.
awesome-llm-json
This repository is an awesome list dedicated to resources for using Large Language Models (LLMs) to generate JSON or other structured outputs. It includes terminology explanations, hosted and local models, Python libraries, blog articles, videos, Jupyter notebooks, and leaderboards related to LLMs and JSON generation. The repository covers various aspects such as function calling, JSON mode, guided generation, and tool usage with different providers and models.
agnai
Agnaistic is an AI roleplay chat tool that allows users to interact with personalized characters using their favorite AI services. It supports multiple AI services, persona schema formats, and features such as group conversations, user authentication, and memory/lore books. Agnaistic can be self-hosted or run using Docker, and it provides a range of customization options through its settings.json file. The tool is designed to be user-friendly and accessible, making it suitable for both casual users and developers.
arthur-engine
The Arthur Engine is a comprehensive tool for monitoring and governing AI/ML workloads. It provides evaluation and benchmarking of machine learning models, guardrails enforcement, and extensibility for fitting into various application architectures. With support for a wide range of evaluation metrics and customizable features, the tool aims to improve model understanding, optimize generative AI outputs, and prevent data-security and compliance risks. Key features include real-time guardrails, model performance monitoring, feature importance visualization, error breakdowns, and support for custom metrics and models integration.
mcp-scan
MCP-Scan is a security scanning tool designed to detect common security vulnerabilities in Model Context Protocol (MCP) servers. It can auto-discover various MCP configurations, scan both local and remote servers for security issues like prompt injection attacks, tool poisoning attacks, and toxic flows. The tool operates in two main modes - 'scan' for static scanning of installed servers and 'proxy' for real-time monitoring and guardrailing of MCP connections. It offers features like scanning for specific attacks, enforcing guardrailing policies, auditing MCP traffic, and detecting changes to MCP tools. MCP-Scan does not store or log usage data and can be used to enhance the security of MCP environments.
FlashLearn
FlashLearn is a tool that provides a simple interface and orchestration for incorporating Agent LLMs into workflows and ETL pipelines. It allows data transformations, classifications, summarizations, rewriting, and custom multi-step tasks using LLMs. Each step and task has a compact JSON definition, making pipelines easy to understand and maintain. FlashLearn supports LiteLLM, Ollama, OpenAI, DeepSeek, and other OpenAI-compatible clients.
httpjail
httpjail is a cross-platform tool designed for monitoring and restricting HTTP/HTTPS requests from processes using network isolation and transparent proxy interception. It provides process-level network isolation, HTTP/HTTPS interception with TLS certificate injection, script-based and JavaScript evaluation for custom request logic, request logging, default deny behavior, and zero-configuration setup. The tool operates on Linux and macOS, creating an isolated network environment for target processes and intercepting all HTTP/HTTPS traffic through a transparent proxy enforcing user-defined rules.
verifiers
Verifiers is a library of modular components for creating RL environments and training LLM agents. It includes an async GRPO implementation built around the `transformers` Trainer, is supported by `prime-rl` for large-scale FSDP training, and can easily be integrated into any RL framework which exposes an OpenAI-compatible inference client. The library provides tools for creating and evaluating RL environments, training LLM agents, and leveraging OpenAI-compatible models for various tasks. Verifiers aims to be a reliable toolkit for building on top of, minimizing fork proliferation in the RL infrastructure ecosystem.
Awesome-Agent-Papers
This repository is a comprehensive collection of research papers on Large Language Model (LLM) agents, organized across key categories including agent construction, collaboration mechanisms, evolution, tools, security, benchmarks, and applications. The taxonomy provides a structured framework for understanding the field of LLM agents, bridging fragmented research threads by highlighting connections between agent design principles and emergent behaviors.
llm-structured-output
This repository contains a library for constraining LLM generation to structured output, enforcing a JSON schema for precise data types and property names. It includes an acceptor/state machine framework, JSON acceptor, and JSON schema acceptor for guiding decoding in LLMs. The library provides reference implementations using Apple's MLX library and examples for function calling tasks. The tool aims to improve LLM output quality by ensuring adherence to a schema, reducing unnecessary output, and enhancing performance through pre-emptive decoding. Evaluations show performance benchmarks and comparisons with and without schema constraints.
twelvet
Twelvet is a permission management system based on Spring Cloud Alibaba that serves as a framework for rapid development. It is a scaffolding framework based on microservices architecture, aiming to reduce duplication of business code and provide a common core business code for both microservices and monoliths. It is designed for learning microservices concepts and development, suitable for website management, CMS, CRM, OA, and other system development. The system is intended to quickly meet business needs, improve user experience, and save time by incubating practical functional points in lightweight, highly portable functional plugins.
SeerAttention
SeerAttention is a novel trainable sparse attention mechanism that learns intrinsic sparsity patterns directly from LLMs through self-distillation at post-training time. It achieves faster inference while maintaining accuracy for long-context prefilling. The tool offers features such as trainable sparse attention, block-level sparsity, self-distillation, efficient kernel, and easy integration with existing transformer architectures. Users can quickly start using SeerAttention for inference with AttnGate Adapter and training attention gates with self-distillation. The tool provides efficient evaluation methods and encourages contributions from the community.
gptlint
GPTLint is a tool that utilizes Large Language Models (LLMs) to enforce higher-level best practices across a codebase. It offers features such as enforcing rules that are impossible with AST-based approaches, simple markdown format for rules, easy customization of rules, support for custom project-specific rules, content-based caching, and outputting LLM stats per run. GPTLint supports all major LLM providers and local models, augments ESLint instead of replacing it, and includes guidelines for creating custom rules. However, the MVP rules are currently limited to JS/TS only, single-file context only, and do not support autofixing.
Dungeo_ai
OpenSource AI Tool for interactive text adventure with AI-generated storytelling and optional TTS narration support. Explore, role-play, and create story-driven adventures using AI. Requires Python 3.10+, pip, Ollama, NVIDIA CUDA Toolkit, git, and AllTalk TTS. Includes different modes for varied experiences and commands for gameplay. Licensed under MIT License with credit requirement for commercial use.