AI Agents & Automation

AnonChatGPT offers a private and free way to use ChatGPT without the need for account registration. Users can start chatting instantly, and the platform ensures anonymity by forwarding queries to ChatGPT's servers without storing any user data. This tool is ideal for individuals who prioritize privacy and wish to engage with AI conversational models without disclosing personal information. It also incorporates captcha challenges to prevent misuse and maintain a secure environment for all users.

ArxivPaperAI functions as an AI research assistant designed to streamline the process of reading academic papers. Leveraging ChatGPT technology, the platform offers instant summarization of research papers, allowing users to quickly grasp key information. Beyond summarization, ArxivPaperAI enables direct interaction with papers through a chat interface, facilitating deeper insights and understanding. The tool is built to enhance reading speed and focus, making academic research more efficient. Additionally, it provides secure storage for research materials, ensuring that users' documents are safely managed within the platform.

PolyAI is a leading conversational AI platform designed for enterprise customer service, offering highly lifelike voice AI agents. It enables businesses to manage high volumes of customer interactions across voice, chat, and SMS channels with a single, custom-built agent. The platform focuses on delivering both unlimited scale and complete control, integrating seamlessly with existing tech stacks like Salesforce, NICE, and Genesys. Key capabilities include account management, authentication, call routing, billing & payments, booking & reservations, FAQ, order management, and troubleshooting. PolyAI helps organizations achieve significant CSAT boosts, revenue generation, and cost reductions by automating customer interactions and providing deep insights into customer needs.

WealthBuild is an AI-powered platform designed to enhance financial services by providing RAG-powered financial co-pilots. It aims to enable financial institutions to better serve a new generation of investors with digital-first customer experiences and action-oriented customer engagement. The platform focuses on creating compliant, accurate, and personalized financial advice guided by a company's trusted knowledge base, while embedding guardrails to prevent LLM hallucinations. WealthBuild's API endpoints facilitate easy integration with existing data, making the solution scalable for various financial professionals including insurance brokers, wealth advisors, bankers, SMBs, and real estate agents. It emphasizes leveraging AI for good, wealthtech, and the future of finance.

purpleSlate aims to simplify the development of conversational applications, catering to both simple chatbots and highly scalable enterprise solutions. The platform focuses on creating informed, personalized, and engaging customer experiences through conversational AI. It offers custom-crafted solutions for modern AI-first digital enterprises, leveraging natural language processing for both voice and text interactions to enhance customer experiences and operational efficiencies at scale. purpleSlate also provides digital transformation services from ideation to implementation, and offers Conversational AI as a Service for quick deployment, custom implementation using modular components, and consulting services for designing and building conversational apps.

Sage Care is an AI-powered care navigation platform designed specifically for health systems. It automates patient interactions, triage, and scheduling, significantly reducing wait times and alleviating staff workload. The platform features AI-powered patient support that handles inquiries instantly with human-like responses, executes standard operating procedures, and works across calls or text. It also includes a clinically informed copilot for staff, offering protocol-based triage, real-time decision recommendations, and automated documentation. Furthermore, Sage Care provides intelligent provider and patient matching to optimize schedules, reduce no-shows, and boost utilization, satisfaction, and revenue across the health system.

Saiga 13b Q4_1 llama.cpp Retrieval QA is an AI-powered retrieval-augmented generation (RAG) tool hosted on Hugging Face Spaces. It enables users to upload various document files and then ask questions directly related to the content within those files. The application processes the uploaded documents and provides answers by extracting and synthesizing information found in the provided context. This makes it ideal for quickly getting specific answers from large bodies of text without manual searching. The tool leverages the Saiga 13b Q4_1 language model and llama.cpp for efficient local execution.

Awesome-Papers-Autonomous-Agent is an Open Source collection of recent academic papers dedicated to autonomous agents. This repository specifically categorizes papers into two main areas: Reinforcement Learning (RL)-based agents and Large Language Model (LLM)-based agents. It serves as a valuable resource for researchers and developers interested in the latest advancements in intelligent agent design, learning, and knowledge acquisition. The collection is actively maintained, with regular updates including papers from major conferences like NeurIPS, ICML, and ICLR, and offers classifications based on research topics such as instruction following, world models, generalization, and multi-agent systems.

Zowl Labs specializes in artificial intelligence and computer vision technologies, providing solutions across various sectors. Their offerings include Video Intelligence for understanding human behavior and object detection, Industrial Applications for process optimization and automation, and Healthcare for medical imaging diagnostics. They develop state-of-the-art technology tailored to customer needs, from feasibility analysis to custom integration and technology transfer. Zowl Labs also offers specific products like OVENBIRD for industrial computer vision, COLIBRIE for smart city security and transit, and FLAMINGO for remote breast-cancer diagnosis, leveraging deep learning and computer vision expertise.

BERT-flow offers a TensorFlow implementation of the research paper "On the Sentence Embeddings from Pre-trained Language Models" (EMNLP 2020). This tool is designed for researchers and developers working with natural language processing, specifically focusing on enhancing the quality of sentence embeddings derived from pre-trained BERT models. It provides scripts and configurations for fine-tuning BERT with NLI supervision and for unsupervised learning of flow-based generative models. The repository includes detailed instructions for setting up the environment, downloading pre-trained BERT models and GLUE data, and running experiments for both fine-tuning and flow-based model training and evaluation. BERT-flow is a valuable resource for academic research and experimentation in the field of sentence representation.

Cell2Sentence (C2S) is an open-source framework designed for applying Large Language Models (LLMs) to single-cell transcriptomics. It implements the C2S-Scale framework, which transforms expression vectors into "cell sentences"—space-separated gene names ordered by descending expression. This innovative approach allows LLMs to natively model scRNA-seq data using natural language, unifying transcriptomic and textual data. The tool enables advanced single-cell tasks such as perturbation prediction, dataset summarization, cluster captioning, and biological question answering. C2S-Scale models, including those based on Pythia and Gemma-2 architectures, are available on Huggingface, with support for finetuning on custom prompt templates and multi-cell prompt formatting.

Cerebellum is a browser automation system that leverages AI-driven planning to navigate web pages and achieve user-defined goals. It functions as a lightweight browser agent, performing actions such as keyboard inputs and mouse clicks. The tool simplifies web browsing by conceptualizing it as navigating a directed graph, where each webpage is a node with visible elements. Cerebellum uses a Large Language Model (LLM) to analyze page content and interactive elements, deciding the next action based on the current state and past actions. The process continues until the LLM determines the goal is reached or unachievable. Currently, it supports Claude 3.5 Sonnet as its LLM, is compatible with any Selenium-supported browser, and can fill forms using user-provided JSON data.

claude-flow, also known as ruflo, is a leading agent orchestration platform specifically designed for Claude. It empowers users to deploy intelligent multi-agent swarms and coordinate complex autonomous workflows. The platform boasts an enterprise-grade architecture, ensuring robust and scalable operations for advanced AI applications. Key features include distributed swarm intelligence, seamless RAG (Retrieval Augmented Generation) integration, and native support for Claude Code and Codex Integration. This makes it an ideal solution for building sophisticated conversational AI systems and managing intricate agentic workflows, providing a comprehensive framework for developers and organizations leveraging Claude's capabilities.

Chatty is a private AI chat application designed to run large language models (LLMs) directly within your browser, leveraging WebGPU for native and private processing. This ensures that all AI models operate client-side on your hardware, guaranteeing that your data remains on your personal computer without any server-side processing. Once a model is initially downloaded, Chatty can be used offline without an active internet connection. It supports popular open-source models like Gemma, Llama2 & 3, and Mistral, and features a responsive design for both desktop and mobile use. The intuitive UI, inspired by Gemini and ChatGPT, includes markdown and code highlighting, voice input, and the ability to chat with files (PDFs and non-binary files) locally. Users can also customize AI memory, export chat messages, and regenerate responses.

Infiverse.ai is a next-generation SaaS ecosystem designed to replace fragmented business systems with a unified, AI-powered platform. Founded in 2020 and headquartered in Mumbai, it integrates AI, automation, and intuitive design to simplify operations for real estate companies, SMEs, and fast-scaling teams. The platform brings together three core systems: Real Estate CRM, HRMS & Payroll, and Infi Books (Finance & Accounting), enabling organizations to scale faster with fewer complexities and maximum efficiency. Key features include AI-powered lead scoring, automated invoicing, real-time financial dashboards, and comprehensive HR management from recruitment to payroll processing. Infiverse.ai aims to redefine business efficiency through superior software and user-centric design.

clinicalBERT is an open-source repository offering publicly available Clinical BERT embeddings, designed to advance clinical Natural Language Processing (NLP) research. It enables users to leverage pre-trained models like Bio+Clinical BERT and Bio+Discharge Summary BERT, which are finetuned from BioBERT or the cased version of BERT. The tool provides clear instructions for direct integration via the Hugging Face transformers library, simplifying access for researchers and developers. Additionally, it outlines steps to reproduce the pretraining process using MIMIC data and offers examples for downstream tasks such as Med NLI and NER, making it a comprehensive resource for those working with clinical text data.

CLIP_prefix_caption is an open-source image captioning model that provides a novel approach to generating descriptive captions for images. Unlike traditional methods that often require additional supervision like object annotation, this model only needs images and their corresponding captions for training, making it highly adaptable to various datasets. It leverages the powerful CLIP model for generating semantic encodings and fine-tunes a pretrained language model to produce meaningful sentences. The tool boasts significantly faster training times while maintaining state-of-the-art results, even on large datasets like Conceptual Captions. It also offers a variant using a transformer architecture for the mapping network, avoiding GPT-2 fine-tuning, and still achieving comparable performance on the nocaps dataset. The project provides inference notebooks and a GUI for easy visualization and use.

Claude Code Skill Factory is a powerful open-source toolkit designed for building and deploying production-ready Claude Skills, Code Agents, custom Slash Commands, and LLM Prompts at scale. It offers an interactive builder and pre-built commands to streamline the development process. Key capabilities include generating complete Claude Skills with proper formatting and documentation, creating specialized Claude Code Agents with enhanced YAML frontmatter, and generating mega-prompts for various roles with 69 professional presets. The toolkit also supports building Claude Code hooks for workflow automation with safety validation and language-specific templates, and creating custom slash commands with comprehensive validation. It further enables interoperability between Claude Code and OpenAI Codex CLI, making it a versatile solution for AI agent development.

chatgpt-your-files is an open-source, production-ready MVP for securely chatting with your documents, leveraging OpenAI’s GPT models and retrieval augmented generation (RAG). It features an interactive chat interface for engaging with your documentation, along with robust document storage capabilities for securely uploading, storing, and retrieving user-uploaded files. The tool integrates one-click third-party login with 18 authentication providers and offers a flexible REST API for front-end consumption. Crucially, it incorporates row-level security to protect all user data, ensuring a secure environment for document interaction. The project is presented as a workshop, guiding users through setting up storage, processing documents, creating embeddings, and building the chat functionality.

Chatito is a powerful tool designed for generating datasets crucial for training and validating AI chatbot models and various Natural Language Processing (NLP) tasks. It utilizes a simple Domain Specific Language (DSL) to define and generate diverse training examples, supporting applications like named entity recognition and text classification. The project includes an online IDE, a DSL specification, an AST parser, and a generator implemented in TypeScript. Chatito helps prevent overfitting by providing a flexible way to generate data, acting as an intersection between data augmentation and a description of possible sentence combinations. It supports various output formats for popular NLU providers like Rasa, Flair, LUIS, and Snips NLU, and also offers a default format for custom models, allowing for custom entity arguments.

Runday is a no-code platform designed to unite human and AI agents for accelerated business growth, primarily focusing on B2B appointment setting and sales orchestration. The platform features an AI agent named ALICE, which acts as an omni-channel brand ambassador. ALICE engages inbound visitors, initiates outbound conversations with qualified prospects, and books calls directly to calendars. Key capabilities include hyper-personalized AI outreach across multiple channels, engaging and qualifying leads by answering buyer questions based on sales materials, and integrating with CRM and calendars to book appointments faster and minimize no-shows. Runday also provides always-available customer support, handling up to 95% of inquiries by becoming a product expert through documentation.

ChatDocs is an AI-powered tool designed for secure, offline interaction with your documents. It allows users to chat with their documents without any data leaving their local system, making it ideal for handling sensitive information. The tool only requires an internet connection for initial installation and downloading AI models. Based on PrivateGPT, ChatDocs offers enhanced features and supports various AI models including GGML/GGUF via CTransformers, Hugging Face Transformers, and GPTQ models. It provides both a web UI and a command-line interface, and is highly configurable through a `chatdocs.yml` file, allowing users to customize embeddings and LLM models. It also supports GPU acceleration for improved performance.

Curator is a scalable, open-source data preprocessing and curation toolkit developed by NVIDIA NeMo, designed to enhance the training of large language models (LLMs) and other AI models. It provides GPU-accelerated, modular pipelines for various data modalities including text, images, video, and audio. The tool supports a wide range of capabilities such as data deduplication, quality filtering, language detection, aesthetic filtering, NSFW detection, and ASR transcription. Curator is built to scale from individual laptops to multi-node clusters, leveraging NVIDIA RAPIDS™ libraries like cuDF, cuML, and cuGraph, along with Ray, to achieve significant performance improvements and cost reductions compared to CPU-based alternatives. It is a core component of the NVIDIA NeMo software suite, facilitating the entire AI agent lifecycle.

ADNCORP is a technology solutions company with expertise in analytical domains and the creation of applicable solutions, primarily serving businesses in Africa. They assist organizations in exploiting the potential of their data to build data-driven cultures and organizations. Their services include Big Data & AI, helping clients make better decisions and find growth opportunities by leveraging their data. ADNCORP also develops ChatBots to respond to customers 24/7, stimulate conversion, and increase sales. Additionally, they offer digitalization services, transforming business processes with custom web and mobile applications. They have partnered with Microsoft 4Afrika, highlighting their commitment to advanced data and AI expertise.