AI Agents & Automation

Metaforms is an AI platform designed to revolutionize market research operations for agencies. It addresses common bottlenecks like lengthy survey programming, manual data validation, and slow RFP processing by leveraging AI across various workflows. The platform can generate production-ready survey code from questionnaires in any format, intelligently process data by creating validation scripts, and streamline bidding management by transforming RFPs into structured quotes. Additionally, Metaforms assists with sample management, coordinating vendors and tracking quotas in real-time, and enables large-scale AI-moderated voice interviews. It integrates with existing tools and is built for enterprise-grade security, including SOC 2 Type II Certification and GDPR compliance, without training on customer data.

AgentVerse is a comprehensive framework designed to streamline the deployment of multiple LLM-based agents across diverse applications. It offers two primary frameworks: task-solving and simulation. The task-solving framework enables the assembly of multiple agents into an automatic multi-agent system to collaboratively accomplish complex tasks, such as software development or consulting. The simulation framework allows users to create custom environments for observing agent behaviors or facilitating interactions among multiple agents, useful for applications like games or social behavior research. AgentVerse supports integration with OpenAI API keys and local models like LLaMA and Vicunna, offering flexibility for different deployment needs.

PromptBench is a PyTorch-based Python package designed as a unified evaluation framework for large language models (LLMs). It offers user-friendly APIs for researchers and developers to conduct comprehensive evaluations of LLMs, including quick performance assessments, prompt engineering method testing (like Chain-of-Thought, Emotion Prompt, and Expert Prompting), and adversarial prompt robustness analysis. The framework integrates dynamic evaluation techniques such as DyVal to mitigate test data contamination and efficient multi-prompt evaluation with PromptEval. It supports a wide range of language and multi-modal datasets and models, both open-source and proprietary, making it a versatile tool for understanding and benchmarking LLM capabilities.

agentic-cursorrules provides a practical approach to managing multiple AI agents within the Cursor code editor by partitioning large codebases into domain-specific contexts. This prevents agent conflicts by giving each agent explicit file-tree boundaries. The tool generates isolated markdown rule files, such as `@agent_backend_api.md`, which describe these boundaries, relevant paths, and guardrails for specific domains. Users can reference these files in their IDEs (like Cursor or Windsurf) to ensure AI helpers operate within their defined lanes. It supports auto-detection of logical domains and interactive configuration, or manual boundary definition via a `config.yaml` file. The tool helps keep conversations focused, diffs local, and reduces coordination overhead by preventing agents from trying to understand an entire repository at once.

rag-tutorial-v2 is an open-source tutorial designed to guide users through the process of building Retrieval Augmented Generation (RAG) systems. This improved version (v2) focuses on practical implementation, incorporating local LLMs for enhanced privacy and control, and demonstrating effective database update strategies. The tutorial also emphasizes robust testing methodologies to ensure the reliability and performance of the RAG system. It's a valuable resource for developers and researchers looking to understand and implement advanced RAG techniques, offering a hands-on approach to integrating LLMs with external knowledge bases.

Porcupine is a highly-accurate and lightweight wake word engine developed by Picovoice, designed to enable always-listening voice-enabled applications. It utilizes deep neural networks trained in real-world environments, making it compact and computationally-efficient, ideal for IoT devices. The engine boasts broad cross-platform compatibility, supporting Arm Cortex-M, STM32, Arduino, Raspberry Pi, Android, iOS, Chrome, Safari, Firefox, Edge, Linux, macOS, and Windows. A key feature is its scalability, allowing detection of multiple always-listening voice commands without increasing runtime footprint. Developers can also train custom wake word models using the Picovoice Console, offering self-service customization. Porcupine is suitable for detecting static voice commands, providing a robust solution for hands-free control and voice interface design.

PointLLM is a multi-modal large language model designed to understand colored point clouds of objects. It excels at perceiving object types, geometric structures, and appearance, effectively bypassing common issues like ambiguous depth, occlusion, or viewpoint dependency. The tool leverages a novel dataset comprising 660K simple and 70K complex point-text instruction pairs, enabling a robust two-stage training strategy. PointLLM also establishes two benchmarks, Generative 3D Object Classification and 3D Object Captioning, for rigorous evaluation. It offers capabilities for inferencing, chatting with 3D models, and evaluation using traditional metrics or GPT-4, making it a powerful resource for advanced 3D data analysis and robotics applications.

Text To Image Models Playground is an AI tool hosted on Hugging Face Spaces, designed for users to explore and generate images from textual descriptions. This platform leverages various text-to-image models, enabling users to input prompts and receive corresponding visual outputs. It serves as an accessible environment for AI enthusiasts, developers, and researchers to experiment with the capabilities of different generative AI models without needing extensive technical setup. The playground simplifies the process of creating visuals based on text, making advanced AI image generation more approachable for a wider audience.

tokenizers is an open-source library developed by Hugging Face, offering highly optimized and versatile tokenizers for natural language processing tasks. Implemented primarily in Rust, it boasts exceptional performance, capable of tokenizing a gigabyte of text on a server's CPU in less than 20 seconds. The library supports training new vocabularies and tokenizing text using popular models like Byte-Pair Encoding, WordPiece, and Unigram. It includes features such as alignment tracking during normalization, ensuring that the original sentence segments corresponding to tokens can always be retrieved. Additionally, it handles pre-processing steps like truncation, padding, and adding special tokens required by various models, making it suitable for both research and production environments.

Chat01.ai, previously known as OpenAI01.net, provides users with free and unlimited access to OpenAI and ChatGPT models, positioning itself as a robust alternative to ChatGPT Pro. The platform offers a selection of models, including GPT-5.5-thinking, GPT-5.4-thinking, GPT-5.3, and GPT-4.5, with advanced 'pro' models like GPT-5.5-pro, GPT-5.4-pro, and GPT-5.2-pro available on paid plans. Users can ask questions and receive answers from these models. The service operates on a credit system, offering daily free credits and permanent credits through paid plans or invites. It aims to assist users with various queries, leveraging advanced AI capabilities.

Theoriq is at the forefront of the agentic economy, providing a decentralized protocol for AI agent swarms to collaborate seamlessly within DeFi ecosystems. It offers premium AI tools designed for asset management, including AlphaVault, a dynamic native ETH yield vault-of-vaults that handles allocation, monitoring, and rebalancing onchain. Additionally, the Theoriq Gold Vault provides proven DeFi yield strategies on gold collateral, compounding in gold terms. The platform also features AlphaSwarm, an AI agent swarm for answering questions about Theoriq. Its native token, THQ, incentivizes participation, offers staking rewards, and provides token-gated access to future products, aligning value accrual with protocol growth.

EscortBot is an AI chatbot hosted on Hugging Face that offers simulated conversations with a character named Amber, designed to be a flirtatious escort. The application allows users to text Amber, who responds in a short and enticing manner with the goal of setting up dates. Conversation logs are saved locally, providing a continuous interaction experience. This tool is presented as an entertainment-focused AI agent, built with Gradio and available for free use on the Hugging Face platform. It is licensed under the MIT license, indicating its open-source nature.

HowToReplyTo is an AI-powered tool designed to generate creative and unique replies to messages across diverse contexts, including family, friends, dating, and professional communications. Users input a message, select the recipient type (e.g., Tinder/Dating, Friends, Family, Professional), choose a desired response tone (e.g., Funny, Rude & Angry, Emotional), and apply additional filters like slang or cultural context. The AI then generates several personalized reply options. This tool aims to improve communication by providing context-specific, emotion-based, and culturally aware suggestions, making it easier to craft engaging and appropriate responses for any situation.

onnx-go offers Go developers the capability to integrate pre-trained neural networks into their applications. It acts as an interface to the Open Neural Network Exchange (ONNX) format, enabling the decoding of ONNX binary models into a computation backend. This tool is particularly useful for adding machine learning capabilities to Go code without requiring specialized data science skills or being tied to a specific framework. While the implementation of the ONNX spec is partial for import and non-existent for export, it supports various backends like Gorgonia. The project is actively maintained by Orama and provides utilities to run models from the ONNX model zoo, making it a valuable resource for Go-based AI development.

Payme is an innovative AI-powered tool designed to effortlessly track price drops and secure refunds for your purchases. When an item you've bought goes on sale, you're often eligible for a price difference refund. Payme automates this entire process by tracking your email receipts, identifying your orders, and monitoring prices. If a price drops, Payme automatically submits refund requests and even calls customer service on your behalf. Users only hear back once a refund has been successfully secured, making the process completely hands-off. This tool is ideal for online shoppers and budget-conscious consumers looking to maximize their savings without any manual effort.

Tarot Master is an innovative platform that combines the mystical wisdom of Tarot with the precise insights of Astrology, enhanced by artificial intelligence. Users can chat with their personal AI psychic to receive highly personalized insights based on their unique astrological data. The platform offers 24/7 availability with over 25 AI-enhanced Tarot Masters, ensuring instant guidance anytime, anywhere. It provides various reading types, including compatibility spreads, yes/no tarot, 1-card, 3-card, 6-card, twin flames, relationship, daily transit, weekly transit, and career readings. Tarot Master aims to make spiritual guidance accessible and budget-friendly, offering expert insights without the traditional high costs.

Gemma3 is a chat web application that runs Gemma 3 models entirely within the browser, offering a seamless and instant conversational AI experience. Users can type messages into a simple chat window and receive natural-language replies from the AI model. This tool is ideal for developers, researchers, and AI enthusiasts who want to experiment with Gemma models without complex setups. Its in-browser operation makes it highly accessible, allowing for quick interactions and testing of AI capabilities directly from a web browser. The application focuses on providing a straightforward interface for engaging with advanced AI models.

ChatTTS Free is an AI text-to-speech tool hosted on Hugging Face Spaces, designed to convert written text into spoken audio. Users can input text, and the system processes it to generate the corresponding audio output. The tool also provides refined text output, which can be useful for various applications. While the current live website content indicates a runtime error preventing full functionality, the underlying purpose is to offer a free platform for exploring text-to-speech technology and prototyping voice-based applications. It leverages models like vocos, dvae, gpt, and decoder, and is intended for use on a CPU, though it warns if no GPU is found.

Intellicortex Technologies is pioneering a new architecture for AI, focusing on compute-efficient reasoning and novel neural architecture research. Their core offering includes Sparsitron, an architecture layer for bounded compute, scalable capacity, and persistent memory, and Invaflare, a product layer built on Sparsitron for cost-efficient reasoning. Invaflare aims to reduce unnecessary model calls and perform structured reasoning locally, escalating only when needed. The company emphasizes a different scaling path for intelligent systems, where compute is controlled while memory scales, allowing systems to improve without retraining and reducing reasoning costs. They have a benchmark-validated architecture and an operational GPU lab for prototyping and validation.

Curebase is an AI-native eClinical platform designed to unify sponsors and sites on a single system, accelerating clinical trials from study startup to database lock. It provides a comprehensive suite of tools including ePRO/eCOA for patient-reported outcomes, eConsent for electronic informed consent, Electronic Data Capture (EDC), and robust patient recruitment capabilities. The platform also features dedicated site software (Sitebase) to streamline patient management and automate workflows for research sites. Curebase aims to improve data quality and boost participant engagement, adapting to the needs of biotech, MedTech, pharma, and CROs, making it suitable for lean teams and global programs alike.

Chattts Zero is an AI text-to-speech tool hosted on Hugging Face Spaces, designed to convert written text into spoken audio. Users can customize the audio output by adjusting parameters such as temperature, top_P, and top_K, allowing for unique and varied speech generation. While the tool aims to provide flexible text-to-speech capabilities, the current live website indicates a runtime error preventing its full functionality. It is presented as a free-to-use space, making it accessible for exploring TTS technology and prototyping voice-based applications, though its operational status needs to be considered.

AgentLab is an open-source framework developed by ServiceNow for the creation, evaluation, and benchmarking of web agents. It provides a scalable and reproducible environment for researchers and developers to work with various benchmarks supported by BrowserGym. Key features include easy large-scale parallel agent experiments using Ray, a unified LLM API for OpenRouter, OpenAI, Azure, and self-hosted models, and support for running benchmarks like WebArena and WorkArena. The framework also offers various reproducibility features, a unified leaderboard, and tools like AgentXray for visualizing experiment results through a Gradio interface. It is designed to accelerate web agent research by providing robust building blocks and evaluation capabilities.

Profimatix is an AI-powered revenue super agent designed to empower sales and revenue teams. It captures sales touchpoints across meetings, emails, calls, and CRMs, learning what works to maximize revenue. The platform automates CRM updates, schedules follow-ups, and identifies next steps, significantly reducing sales cycles. Profimatix offers real-time call assistance with AI suggesting talking points and objection handling, alongside intelligent follow-ups. It also provides revenue analytics to uncover top revenue leaks and drivers, helping teams refine strategies and deliver accurate forecasts. The tool aims to make CRMs always accurate and provide data-backed recommendations for growth.

ChatLLMs is a Hugging Face Space that provides an interactive platform for users to engage with various language models. This tool allows for real-time conversation by typing messages and offers the flexibility to select from multiple available models. Users can fine-tune the conversation dynamics by adjusting parameters such as 'temperature' and 'top-p', which influence the creativity and randomness of the AI's responses. While currently in a sleeping state due to inactivity, its core functionality is designed for exploring and interacting with different AI language capabilities.