Best AI tools for< Enforce Code Of Conduct >

Domino Data Lab is an enterprise AI platform that enables users to build, deploy, and manage AI models across any environment. It fosters collaboration, establishes best practices, and ensures governance while reducing costs. The platform provides access to a broad ecosystem of open source and commercial tools, and infrastructure, allowing users to accelerate and scale AI impact. Domino serves as a central hub for AI operations and knowledge, offering integrated workflows, automation, and hybrid multicloud capabilities. It helps users optimize compute utilization, enforce compliance, and centralize knowledge across teams.

Augmentations.ai is a model-agnostic AI agent framework in Ruby that offers AI-powered code reviews and smart weekly summaries to enhance development workflows. It enables developers to enforce sophisticated, context-aware rules and track team progress effortlessly across all projects. The tool also allows for rapid experimentation and building of AI-powered devtools through its AI automation capabilities. Augmentations.ai is built with the Sublayer Rubygem and features projects from the Sublayer community. Users can access early access by requesting it on the website.

Operant is a cloud-native runtime protection platform that offers instant visibility and control from infrastructure to APIs. It provides AI security shield for applications, API threat protection, Kubernetes security, automatic microsegmentation, and DevSecOps solutions. Operant helps defend APIs, protect Kubernetes, and shield AI applications by detecting and blocking various attacks in real-time. It simplifies security for cloud-native environments with zero instrumentation, application code changes, or integrations.

DryRun Security is a contextual security analysis tool designed to help organizations identify and mitigate risks in their codebase. By providing real-time insights and feedback, DryRun Security empowers security leaders, AppSec engineers, and developers to proactively secure their code and streamline compliance efforts. The tool goes beyond traditional pattern-matching approaches by considering codepaths, developer intent, and language-specific checks to uncover vulnerabilities in context. With customizable code policies and natural language enforcement, DryRun Security offers a user-friendly experience for enhancing code security and collaboration between security and development teams.

AI Code Reviewer is a tool that uses artificial intelligence to review code. It can help you find bugs, improve code quality, and enforce coding standards.

DeepSource is a Unified DevSecOps Platform that secures the entire development lifecycle with static analysis and AI. It offers code quality and SAST, open-source security, and is trusted by over 6,000 companies. The platform helps in finding and fixing security vulnerabilities before code is merged, with a low false-positive rate and customizable security gates for pull requests. DeepSource is built for modern software development, providing features like Autofix™ AI, code coverage, and integrations with popular tools like Jira and GitHub Issues. It offers detailed reports, issue suppression, and metric thresholds to ensure clean and secure code shipping.

Pulumi is an AI-powered infrastructure as code tool that allows engineers to manage cloud infrastructure using various programming languages like Node.js, Python, Go, .NET, Java, and YAML. It offers features such as generative AI-powered cloud management, security enforcement through policies, automated deployment workflows, asset management, compliance remediation, and AI insights over the cloud. Pulumi helps teams provision, automate, and evolve cloud infrastructure, centralize and secure secrets management, and gain security, compliance, and cost insights across all cloud assets.

DocDriven is an AI-powered documentation-driven API development tool that provides a shared workspace for optimizing the API development process. It helps in designing APIs faster and more efficiently, collaborating on API changes in real-time, exploring all APIs in one workspace, generating AI code, maintaining API documentation, and much more. DocDriven aims to streamline communication and coordination among backend developers, frontend developers, UI designers, and product managers, ensuring high-quality API design and development.

The Transparency Coalition is a platform dedicated to advocating for legislation and transparency in the field of artificial intelligence. It aims to create AI safeguards for the greater good by focusing on training data, accountability, and ethical practices in AI development and deployment. The platform emphasizes the importance of regulating training data to prevent misuse and harm caused by AI systems. Through advocacy and education, the Transparency Coalition seeks to promote responsible AI innovation and protect personal privacy.

ModelOp is the leading AI Governance software for enterprises, providing a single source of truth for all AI systems, automated process workflows, real-time insights, and integrations to extend the value of existing technology investments. It helps organizations safeguard AI initiatives without stifling innovation, ensuring compliance, accelerating innovation, and improving key performance indicators. ModelOp supports generative AI, Large Language Models (LLMs), in-house, third-party vendor, and embedded systems. The software enables visibility, accountability, risk tiering, systemic tracking, enforceable controls, workflow automation, reporting, and rapid establishment of AI governance.

Writer is a full-stack generative AI platform that offers industry-leading models Palmyra-Med and Palmyra-Fin. It provides a secure enterprise platform to embed generative AI into any business process, enforce legal and brand compliance, and gain insights through analysis. Writer's platform abstracts complexity, allowing users to focus on AI-first workflows without the need to maintain infrastructure. The platform includes Palmyra LLMs, Knowledge Graph, and AI guardrails to ensure quality, control, transparency, accuracy, and security in AI applications.

Loti is an online protection tool designed for public figures, including major artists, athletes, executives, and creators. It scans the internet daily to identify instances where the user's face or voice appear, takes down infringing accounts and content, and recaptures revenue. Loti offers features such as protecting against fake accounts and deepfakes, enforcing licensing agreements, and detecting and eliminating fake social media accounts. It is a valuable tool for managing and safeguarding a public figure's online presence and brand image.

Watchdog is an AI-powered chat moderation tool designed to fully automate chat moderation for Telegram communities. It helps community owners tackle rulebreakers, trolls, and spambots effortlessly, ensuring consistent rule enforcement and user retention. With features like automatic monitoring, customizable rule enforcement, and quick setup, Watchdog offers significant cost savings and eliminates the need for manual moderation. The tool is developed by Ben, a solo developer, who created it to address the challenges he faced in managing his own community. Watchdog aims to save time, money, and enhance user experience by swiftly identifying and handling rule violations.

Protect AI is a comprehensive platform designed to secure AI systems by providing visibility and manageability to detect and mitigate unique AI security threats. The platform empowers organizations to embrace a security-first approach to AI, offering solutions for AI Security Posture Management, ML model security enforcement, AI/ML supply chain vulnerability database, LLM security monitoring, and observability. Protect AI aims to safeguard AI applications and ML systems from potential vulnerabilities, enabling users to build, adopt, and deploy AI models confidently and at scale.

Frontitude is an AI writing assistant designed for design teams to help write engaging and consistent UX content effortlessly within Figma. It empowers teams to brainstorm, get copy suggestions, and deliver consistent content without leaving the design platform. The tool integrates content guidelines into the design system, streamlines design reviews, and works great with the Frontitude platform. Users can save writing time, maintain a consistent voice, and generate ideas with the help of this AI-powered writing assistant.

Backmesh is an AI tool that serves as a proxy on edge CDN servers, enabling secure and direct access to LLM APIs without the need for a backend or SDK. It allows users to call LLM APIs from their apps, ensuring protection through JWT verification and rate limits. Backmesh also offers user analytics for LLM API calls, helping identify usage patterns and enhance user satisfaction within AI applications.

Yokoy is an AI-powered spend management suite that helps midsize companies and global enterprises save money on every dollar spent. It automates accounts payable and expense management tasks, streamlines global data, keeps spend under control, and enforces compliance. Yokoy's API facilitates seamless integrations with enterprise-level systems for end-to-end automation across entities and geographies.

MineOS is an automation-driven platform that focuses on privacy, security, and compliance. It offers a comprehensive suite of tools and solutions to help businesses manage their data privacy needs efficiently. By leveraging AI and special discovery methods, MineOS adapts unique data processes to universal privacy standards seamlessly. The platform provides features such as data mapping, AI governance, DSR automations, consent management, and security & compliance solutions to ensure data visibility and governance. MineOS is recognized as the industry's #1 rated data governance platform, offering cost-effective control of data systems and centralizing data subject request handling.

Kubiya is an AI-powered platform designed to reduce Time-To-Automation for Developer and Infrastructure Operations teams. It allows users to focus on high-impact work by automating routine tasks and processes, powered by an Agentic-Native Platform. Kubiya is trusted by world-class engineering and operations teams, offering features such as AI teammates, JIT Permissions, Infrastructure Provisioning, Help Desk support, and Incident Response automation.

42Signals is an AI-driven eCommerce analytics software that provides real-time insights and analytics for consumer brands. It empowers businesses to anticipate market trends, monitor competitors, optimize digital shelves, and drive sales growth with unmatched accuracy and speed. The platform offers a suite of tools including Digital Shelf Analytics, Competitor Analysis, Voice of Customer Analytics, and more to help businesses dominate the digital marketplace.

The 'curriculum' repository is an open-source content repository by Enki, providing a community-driven curriculum for education. It follows a contributor covenant code of conduct to ensure a safe and engaging learning environment. The content is licensed under Creative Commons, allowing free use for non-commercial purposes with attribution to Enki and the author.

This repository hosts the official code and data artifact for the paper 'Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context'. It introduces Monitor-Guided Decoding (MGD) for code generation using Language Models, where a monitor uses static analysis to guide the decoding. The repository contains datasets, evaluation scripts, inference results, a language server client 'multilspy' for static analyses, and implementation of various monitors monitoring for different properties in 3 programming languages. The monitors guide Language Models to adhere to properties like valid identifier dereferences, correct number of arguments to method calls, typestate validity of method call sequences, and more.

The Enterprise Azure OpenAI Hub is a comprehensive repository designed to guide users through the world of Generative AI on the Azure platform. It offers a structured learning experience to accelerate the transition from concept to production in an Enterprise context. The hub empowers users to explore various use cases with Azure services, ensuring security and compliance. It provides real-world examples and playbooks for practical insights into solving complex problems and developing cutting-edge AI solutions. The repository also serves as a library of proven patterns, aligning with industry standards and promoting best practices for secure and compliant AI development.

This sample shows how to build a serverless chat experience with Retrieval-Augmented Generation using LangChain.js and Azure. The application is hosted on Azure Static Web Apps and Azure Functions, with Azure Cosmos DB for MongoDB vCore as the vector database. You can use it as a starting point for building more complex AI applications.

MInference is a tool designed to accelerate pre-filling for long-context Language Models (LLMs) by leveraging dynamic sparse attention. It achieves up to a 10x speedup for pre-filling on an A100 while maintaining accuracy. The tool supports various decoding LLMs, including LLaMA-style models and Phi models, and provides custom kernels for attention computation. MInference is useful for researchers and developers working with large-scale language models who aim to improve efficiency without compromising accuracy.

AXONE Smart Contracts repository hosts Smart Contracts for the AXONE network, compatible with any Cosmos blockchains using the CosmWasm framework. It includes storage, sovereignty, and resource management oriented Smart Contracts. Each contract has different functionalities and maturity stages, with detailed tech documentation and emojis indicating maturity levels. The repository provides tools for building, testing, deploying, and interacting with Smart Contracts, along with guidelines for contributing and community engagement.

TypeChat.NET is a framework that provides cross-platform libraries for building natural language interfaces with language models using strong types, type validation, and simple type-safe programs. It translates user intent into strongly typed objects and JSON programs, with support for schema export, extensibility, and common scenarios. The framework is actively developed with frequent updates, evolving based on exploration and feedback. It consists of assemblies for translating user intent, synthesizing JSON programs, and integrating with Microsoft Semantic Kernel. TypeChat.NET requires familiarity with and access to OpenAI language models for its examples and scenarios.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

TinyTroupe is an experimental Python library that leverages Large Language Models (LLMs) to simulate artificial agents called TinyPersons with specific personalities, interests, and goals in simulated environments. The focus is on understanding human behavior through convincing interactions and customizable personas for various applications like advertisement evaluation, software testing, data generation, project management, and brainstorming. The tool aims to enhance human imagination and provide insights for better decision-making in business and productivity scenarios.

Fluid is an open source Kubernetes-native Distributed Dataset Orchestrator and Accelerator for data-intensive applications, such as big data and AI applications. It implements dataset abstraction, scalable cache runtime, automated data operations, elasticity and scheduling, and is runtime platform agnostic. Key concepts include Dataset and Runtime. Prerequisites include Kubernetes version > 1.16, Golang 1.18+, and Helm 3. The tool offers features like accelerating remote file accessing, machine learning, accelerating PVC, preloading dataset, and on-the-fly dataset cache scaling. Contributions are welcomed, and the project is under the Apache 2.0 license with a vendor-neutral approach.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

veRL is a flexible and efficient reinforcement learning training framework designed for large language models (LLMs). It allows easy extension of diverse RL algorithms, seamless integration with existing LLM infrastructures, and flexible device mapping. The framework achieves state-of-the-art throughput and efficient actor model resharding with 3D-HybridEngine. It supports popular HuggingFace models and is suitable for users working with PyTorch FSDP, Megatron-LM, and vLLM backends.

OpenAdapt is an open-source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). It aims to automate repetitive GUI workflows by leveraging the power of LMMs. OpenAdapt records user input and screenshots, converts them into tokenized format, and generates synthetic input via transformer model completions. It also analyzes recordings to generate task trees and replay synthetic input to complete tasks. OpenAdapt is model agnostic and generates prompts automatically by learning from human demonstration, ensuring that agents are grounded in existing processes and mitigating hallucinations. It works with all types of desktop GUIs, including virtualized and web, and is open source under the MIT license.

ShellGPT is a command-line productivity tool powered by AI large language models (LLMs). This command-line tool offers streamlined generation of shell commands, code snippets, documentation, eliminating the need for external resources (like Google search). Supports Linux, macOS, Windows and compatible with all major Shells like PowerShell, CMD, Bash, Zsh, etc.

Invariant Analyzer is an open-source scanner designed for LLM-based AI agents to find bugs, vulnerabilities, and security threats. It scans agent execution traces to identify issues like looping behavior, data leaks, prompt injections, and unsafe code execution. The tool offers a library of built-in checkers, an expressive policy language, data flow analysis, real-time monitoring, and extensible architecture for custom checkers. It helps developers debug AI agents, scan for security violations, and prevent security issues and data breaches during runtime. The analyzer leverages deep contextual understanding and a purpose-built rule matching engine for security policy enforcement.

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