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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.

Loti is an online protection tool designed for public figures, such as 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 like protecting against fake accounts and deepfakes, enforcing licensing agreements, and detecting and eliminating fake social media accounts. It is a comprehensive solution to safeguard a public figure's brand image and content online.

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.

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.

Writer is a full-stack generative AI platform that enables businesses to build and deploy custom AI applications for a wide range of use cases, including digital assistants, content generation, summarization, and data analysis. Writer's platform is designed to be accurate, scalable, and cost-effective, and it offers a variety of features to help businesses get the most out of generative AI, including: - Palmyra LLMs: Writer's family of LLMs is purpose-built for the enterprise and offers a range of capabilities, including question-answering, image analysis, and multilingual translation. - Knowledge Graph: Writer's Knowledge Graph anchors generative AI in your company data, resulting in higher accuracy and fewer hallucinations. - AI guardrails: Writer's AI guardrails help businesses enforce their regulatory, legal, inclusivity, and brand rules across all work, whether it's created by their people or AI. - Flexible application layer: Writer's flexible application layer offers a wide range of interfaces to meet your specific needs, whether you're using a prebuilt app, building a custom app, or making requests to our out-of-the-box chat app.

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.

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.

Pulumi is an AI-powered infrastructure as code platform that allows engineers to manage cloud infrastructure using various programming languages like Node.js, Python, Go, .NET, Java, and YAML. It offers capabilities such as generative AI-powered cloud management, security enforcement through policies, and automated deployment workflows. Pulumi Insights enables faster infrastructure code authoring through AI, while Pulumi Cloud provides managed services for infrastructure as code and secrets management. The platform is praised for its ease of use, developer experience, and ability to centralize and secure secrets management.

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.

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.

Ramp is a comprehensive platform offering Spend Management, Corporate Cards, and Accounts Payable Solutions. It provides easy-to-use corporate cards, bill payments, accounting, and more in one place. With a focus on saving time and money, Ramp streamlines expense management, AP automation, spend controls, and procurement processes. The platform is designed to make finance teams faster and happier by automating tasks, matching receipts to transactions, and simplifying accounting processes. Ramp caters to startups, global enterprises, and businesses of all sizes with features like seamless integration, global payment capabilities, customization options, and dedicated support.

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.

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.

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.

FairNow is an AI governance platform that simplifies and centralizes AI risk management at scale. It provides audit-ready compliance, automated bias audits, customizable AI governance tools, and seamless data integration options. FairNow ensures organization-wide oversight, meticulous organization, and unwavering accountability, helping organizations align AI projects with compliance requirements and ethical standards.

Velotix is an AI-powered data security platform that offers groundbreaking visual data security solutions to help organizations discover, visualize, and use their data securely and compliantly. The platform provides features such as data discovery, permission discovery, self-serve data access, policy-based access control, AI recommendations, and automated policy management. Velotix aims to empower enterprises with smart and compliant data access controls, ensuring data integrity and compliance. The platform helps organizations gain data visibility, control access, and enforce policy compliance, ultimately enhancing data security and governance.

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.

Radicalbit is an MLOps and AI Observability platform that helps businesses deploy, serve, observe, and explain their AI models. It provides a range of features to help data teams maintain full control over the entire data lifecycle, including real-time data exploration, outlier and drift detection, and model monitoring in production. Radicalbit can be seamlessly integrated into any ML stack, whether SaaS or on-prem, and can be used to run AI applications in minutes.

BentoVLLM is an example project demonstrating how to serve and deploy open-source Large Language Models using vLLM, a high-throughput and memory-efficient inference engine. It provides a basis for advanced code customization, such as custom models, inference logic, or vLLM options. The project allows for simple LLM hosting with OpenAI compatible endpoints without the need to write any code. Users can interact with the server using Swagger UI or other methods, and the service can be deployed to BentoCloud for better management and scalability. Additionally, the repository includes integration examples for different LLM models and tools.

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.

AI Driven Dev Community is a repository aimed at helping developers become more efficient by utilizing AI tools in their daily coding tasks. It provides a collection of tools, prompts, snippets, and agents for developers to integrate AI into their workflow. The repository is regularly updated with new resources and focuses on best practices for using AI in development work. Users can find tools like Espanso, ChatGPT, GitHub Copilot, and VSCode recommended for enhancing their coding experience. Additionally, the repository offers guidance on customizing AI for developers, installing AI toolbox for software engineers, and contributing to the community through easy steps.

NeMo Guardrails is an open-source toolkit for easily adding _programmable guardrails_ to LLM-based conversational applications. Guardrails (or "rails" for short) are specific ways of controlling the output of a large language model, such as not talking about politics, responding in a particular way to specific user requests, following a predefined dialog path, using a particular language style, extracting structured data, and more.

Agentok Studio is a visual tool built for AutoGen, a cutting-edge agent framework from Microsoft and various contributors. It offers intuitive visual tools to simplify the construction and management of complex agent-based workflows. Users can create workflows visually as graphs, chat with agents, and share flow templates. The tool is designed to streamline the development process for creators and developers working on next-generation Multi-Agent Applications.

Godot LLM is a plugin that enables the utilization of large language models (LLM) for generating content in games. It provides functionality for text generation, text embedding, multimodal text generation, and vector database management within the Godot game engine. The plugin supports features like Retrieval Augmented Generation (RAG) and integrates llama.cpp-based functionalities for text generation, embedding, and multimodal capabilities. It offers support for various platforms and allows users to experiment with LLM models in their game development projects.

Langrila is a library that provides an easy way to use API-based LLM (Large Language Models) with an emphasis on simple architecture for readability. It supports various AI models for chat and embedding tasks, as well as retrieval functionalities using Qdrant, Chroma, and Usearch. Langrila also includes modules for function calling, conversation memory management, and prompt templates. It enforces coding policies for simplicity, responsibility independence, and minimum module implementation. The library requires Python version 3.10 to 3.13 and additional dependencies like OpenAI, Gemini, Qdrant, Chroma, and Usearch for specific functionalities.

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.

LangServe helps developers deploy `LangChain` runnables and chains as a REST API. This library is integrated with FastAPI and uses pydantic for data validation. In addition, it provides a client that can be used to call into runnables deployed on a server. A JavaScript client is available in LangChain.js.

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.

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.

GPT4All is an ecosystem to run powerful and customized large language models that work locally on consumer grade CPUs and any GPU. Note that your CPU needs to support AVX or AVX2 instructions. Learn more in the documentation. A GPT4All model is a 3GB - 8GB file that you can download and plug into the GPT4All open-source ecosystem software. Nomic AI supports and maintains this software ecosystem to enforce quality and security alongside spearheading the effort to allow any person or enterprise to easily train and deploy their own on-edge large language models.

RayLLM (formerly known as Aviary) is an LLM serving solution that makes it easy to deploy and manage a variety of open source LLMs, built on Ray Serve. It provides an extensive suite of pre-configured open source LLMs, with defaults that work out of the box. RayLLM supports Transformer models hosted on Hugging Face Hub or present on local disk. It simplifies the deployment of multiple LLMs, the addition of new LLMs, and offers unique autoscaling support, including scale-to-zero. RayLLM fully supports multi-GPU & multi-node model deployments and offers high performance features like continuous batching, quantization and streaming. It provides a REST API that is similar to OpenAI's to make it easy to migrate and cross test them. RayLLM supports multiple LLM backends out of the box, including vLLM and TensorRT-LLM.

This tool utilizes the OpenAI ChatGPT API to translate text, with a focus on line-based translation, particularly for SRT subtitles. It optimizes token usage by removing SRT overhead and grouping text into batches, allowing for arbitrary length translations without excessive token consumption while maintaining a one-to-one match between line input and output.

Shell Ask is a command-line tool that enables users to interact with various language models through a simple interface. It supports multiple LLMs such as OpenAI, Anthropic, Ollama, and Google Gemini. Users can ask questions, provide context through command output, select models interactively, and define reusable AI commands. The tool allows piping the output of other programs for enhanced functionality. With AI command presets and configuration options, Shell Ask provides a versatile and efficient way to leverage language models for various tasks.

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.

CodeGeeX4-ALL-9B is an open-source multilingual code generation model based on GLM-4-9B, offering enhanced code generation capabilities. It supports functions like code completion, code interpreter, web search, function call, and repository-level code Q&A. The model has competitive performance on benchmarks like BigCodeBench and NaturalCodeBench, outperforming larger models in terms of speed and performance.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.

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