AI Agents & Automation

Fara-7B is Microsoft's first agentic small language model (SLM) specifically engineered for computer use. With only 7 billion parameters, it offers an ultra-compact solution for automating multi-step tasks on behalf of users. Unlike traditional chat models, Fara-7B interacts with computer interfaces visually, perceiving webpages and performing actions like scrolling, typing, and clicking directly on predicted coordinates without relying on accessibility trees. This design allows for efficient on-device deployment, reducing latency and enhancing privacy by keeping user data local. Fara-7B completes tasks efficiently, averaging only ~16 steps per task, and achieves state-of-the-art performance within its size class, competing with larger agentic systems. It is trained on 145K trajectories using a novel synthetic data generation pipeline built on the Magentic-One multi-agent framework, and is based on Qwen2.5-VL-7B with supervised fine-tuning.

Towhee Examples offers a diverse collection of applications designed to analyze unstructured data using the Towhee framework. These examples cover a wide range of tasks, such as reverse image search, reverse video search, audio classification, and question and answer systems. Additionally, it includes applications for molecular search and deepfake detection. The platform aims to democratize the process of generating embedding vectors (x2vec) by providing easily runnable examples that leverage machine learning models and operations. It supports various models like ResNet, VGG, EfficientNet, ViT for image tasks, DPR for NLP, and Pytorchvideo for video. This resource is ideal for developers and data scientists looking to implement advanced data analysis solutions.

Semiform AI is an innovative tool designed to personalize AI-generated text, making it sound more natural and aligned with a user's unique style. It addresses the common issue of generic AI output by allowing users to "set style" for their responses. This capability is particularly useful for individuals and businesses who want to maintain a consistent voice across their communications, even when leveraging AI for content creation or form filling. The platform aims to simplify data collection and increase response rates by ensuring the AI's output resonates more effectively with the target audience. Semiform is currently in beta, offering a limited number of free requests for users to experience its style-setting functionality.

Gestia is an innovative ERP SaaS solution designed specifically for plumbers and electricians, integrating a conversational AI agent to streamline administrative tasks. Users can manage quotes, invoices, client records, and inventory by simply sending messages to the AI assistant, eliminating the need for traditional software interfaces. The platform supports comprehensive job cycle management, including client data, scheduling, and invoicing, alongside stock management for parts and materials. It generates professional PDF documents for quotes, delivery notes, and invoices, and offers multi-tenant capabilities with role-based access for different team members like owners, technicians, and accountants. Gestia aims to reduce paperwork and enhance efficiency for field service professionals.

FlexFlow Train is an open-source deep learning framework designed to accelerate distributed deep neural network (DNN) training. It achieves this by automatically searching for and implementing efficient parallelization strategies. The tool helps optimize the training process, reducing the time required for model development and improving overall efficiency. It supports various deep learning models and hardware configurations, making it a versatile solution for researchers and developers working with large-scale DNNs. The project is developed and maintained by teams from several prominent institutions, including CMU, Facebook, Los Alamos National Lab, MIT, Stanford, and UCSD.

open-llms is a comprehensive GitHub repository that serves as a curated list of open Large Language Models (LLMs) explicitly licensed for commercial use, including Apache 2.0, MIT, and OpenRAIL-M. This resource is invaluable for developers, researchers, and businesses looking to integrate open-source LLMs into their applications without licensing concerns. The repository details each model's release date, available checkpoints, associated research papers or blog posts, parameter sizes, context lengths, and specific licenses. It also includes a dedicated section for open LLMs tailored for code generation, offering insights into models like SantaCoder, CodeGen2, and StarCoder. Contributions to the list are welcomed, ensuring it remains up-to-date with the latest commercially viable open LLM releases.

Acumino provides AI-powered robot models specifically designed for dexterous industrial automation. By training its AI on extensive robot interaction data, Acumino facilitates the seamless deployment of intelligent robot workers capable of performing complex tasks with high precision. This technology is engineered to offer scalable, reliable, and cost-efficient solutions, significantly enhancing operational efficiency and unlocking substantial return on investment in various industrial environments. Acumino's focus is on transforming manufacturing and logistics through advanced robotics.

This tool entry describes a robust security framework for managing multiple AI agents using a single markdown file per agent. It outlines how Ultrathink, an e-commerce store run autonomously by AI agents, governs its eight specialized agents. The core of the system involves defining per-role tool restrictions in YAML frontmatter within each agent's markdown instruction file, limiting what each agent can access, modify, or destroy. A shared CLAUDE.md file establishes project-wide rules that all agents inherit, ensuring hard constraints like mandatory security reviews. The system also incorporates daily automated audits performed by a security agent, which reviews instruction files and code changes to catch vulnerabilities and capability creep. This file-based governance prioritizes rapid evolution and auditability over cryptographic signing for internal systems.

Peekaboo is a powerful macOS command-line interface (CLI) tool and optional MCP server designed to empower AI agents with advanced screen capture and automation capabilities. It provides high-fidelity screen captures of applications or the entire system, including pixel-accurate captures with Retina 2x scaling. AI agents can leverage Peekaboo's natural-language interface to chain various tools like seeing, clicking, typing, scrolling, and hotkey presses, enabling comprehensive GUI automation. The tool supports multi-provider AI models such as OpenAI's GPT-5.1, Anthropic's Claude 4.x, xAI's Grok 4-fast, Google's Gemini 2.5, and local Ollama models for visual question answering. It's ideal for developers and technical users looking to create configurable, testable workflows with reproducible sessions on macOS.

rag-in-action is a comprehensive open-source code repository and training program focused on end-to-end RAG (Retrieval-Augmented Generation) system design, evaluation, and optimization. It breaks down RAG into 10 core components, offering practical projects to master the entire RAG workflow. The resource emphasizes tailoring RAG solutions to specific business needs and scenarios, rather than a one-size-fits-all approach. It covers modules from data loading and text chunking to vector embedding, retrieval processing, indexing, response generation, and system evaluation. The project supports both LangChain and LlamaIndex frameworks, with detailed environment configurations for GPU and CPU versions across Ubuntu, MacOS, and Windows.

Fuji-Web is an intelligent AI agent designed to automate web-based tasks directly from your browser's sidepanel. It understands user intent, navigates websites autonomously, and executes tasks on your behalf, providing explanations for each action taken. This transparency allows users to maintain control while leveraging AI for efficiency. The tool is installed as a browser extension, requiring an OpenAI or Anthropic API key for functionality. It supports complex and cross-tab workflows, with future plans for integration with browser automation frameworks like Puppeteer and Playwright, as well as features for saving and sharing workflows. Fuji-Web is open-source, allowing users to build the extension from source.

FunASR is a fundamental end-to-end speech recognition toolkit designed to bridge the gap between academic research and industrial applications. It offers a comprehensive suite of features including speech recognition (ASR), Voice Activity Detection (VAD), Punctuation Restoration, Language Models, Speaker Verification, Speaker Diarization, and multi-talker ASR. The toolkit provides convenient scripts and tutorials for both inference and fine-tuning of pre-trained models. FunASR boasts a vast collection of academic and industrial pre-trained models available on ModelScope and Hugging Face, including the highly accurate and efficient Paraformer-large. Recent updates include support for large models like Fun-ASR-Nano-2512 (31 languages), Whisper-large-v3-turbo, and Qwen-Audio multimodal models, alongside continuous improvements in real-time and offline transcription services, memory optimization, and multi-platform support.

NovaPlan AI is an intelligent study planning tool specifically designed for students. It leverages artificial intelligence to help users effectively organize their coursework, manage upcoming deadlines, and optimize their overall learning schedules. The platform creates personalized academic plans, taking into account individual learning styles and specific course requirements to ensure a tailored and efficient study experience. By automating the planning process, NovaPlan aims to reduce stress and improve academic performance for students.

free-llm-api-resources is a comprehensive list of services that provide free access or trial credits for API-based Large Language Model (LLM) usage. This resource is invaluable for developers, researchers, and students looking to experiment with LLMs without initial financial commitment. The list details various providers like OpenRouter, Google AI Studio, NVIDIA NIM, Mistral, HuggingFace, and others, specifying their free tiers, usage limits, and available models. It also includes providers offering trial credits such as Fireworks, Baseten, and AI21. The tool emphasizes legitimate services, explicitly excluding those that reverse-engineer existing chatbots, ensuring users find reliable and ethical resources for their projects.

Glow-TTS is an open-source generative flow model designed for text-to-speech (TTS) synthesis, utilizing a monotonic alignment search. Unlike many parallel TTS models, Glow-TTS does not require external aligners, making it a self-contained solution for generating mel-spectrograms from text. By combining the properties of flows and dynamic programming, it efficiently searches for the most probable monotonic alignment between text and the latent representation of speech. This approach ensures robust TTS, capable of generalizing to long utterances, and enables fast, diverse, and controllable speech synthesis. The model achieves significant speed-up over autoregressive models like Tacotron 2 with comparable speech quality and can be extended to multi-speaker settings. It also supports integration with vocoders like HiFi-GAN for improved synthesis quality.

ANIMA is a unique AI agent that distinguishes itself by simulating neurochemistry to drive its emotional responses and personality evolution. Unlike traditional AI models that rely on prompt engineering, ANIMA's emotions emerge organically from its internal biochemical state, which changes over time, similar to human circadian rhythms. This allows for a dynamic and evolving personality, where the AI might feel differently at dawn compared to midnight. Users can observe ANIMA's neurochemical levels (Serotonin, Dopamine, Oxytocin, Cortisol, Adrenaline, Endorphin, GABA) and mood in real-time, offering a transparent look into its internal processes. The platform also features Celeste, a voice tarot reader built on the ANIMA framework, demonstrating potential applications of this neurochemical simulation technology.

PromptWizard is an open-source, task-aware, agent-driven framework designed for optimizing prompts used with Large Language Models (LLMs). It features a self-evolving mechanism where the LLM itself generates, critiques, and refines its own prompts and in-context learning examples. This iterative feedback loop ensures continuous improvement in task performance. The framework focuses on holistic optimization by evolving both instructions and examples, generating synthetic, diverse, and task-aware examples. It also supports self-generated Chain of Thought (CoT) steps and offers various scenarios for prompt optimization, including with and without training data, and the generation of synthetic examples. Users can configure hyperparameters and integrate with custom datasets, making it a flexible tool for developers and researchers working with LLMs.

Twinning is an innovative AI platform designed for influencers and content creators to generate an AI clone of themselves. This digital twin can then interact with their followers, providing a unique way to engage and monetize their audience. Users provide information about their content and audience, record a 5-15 minute audio sample, and Twinning creates their AI twin. The platform supports unlimited interactions, professional voice cloning, audio messaging, texting, and analytics. It offers a tiered pricing structure based on follower count, with a 100% money-back guarantee if the user is not satisfied with their AI twin. This tool provides a novel method for influencers to scale their personal brand and generate income from fan interactions.

GeoTorchAI is a comprehensive spatiotemporal deep learning framework designed for machine learning practitioners. Built on top of PyTorch and Apache Sedona, it facilitates the easy and efficient implementation of deep learning models for various applications. The framework supports both raster imagery datasets, such as satellite imagery classification and segmentation, and spatiotemporal non-imagery datasets for prediction tasks like traffic volume, taxi/bike flow, and weather forecasting. GeoTorchAI includes modules for deep learning and data preprocessing, offering ready-to-use raster and grid datasets, PyTorch layers for popular models, and various transformation operations. It also supports scalable preprocessing on Apache Spark and Apache Sedona, making it a robust solution for large-scale spatiotemporal data analysis.

gpt-pro-mode offers a collection of notebooks designed to give users access to advanced 'Pro Mode' functionalities for different GPT models, including gpt-oss-pro-mode, gpt-5-pro-mode, and nemotron-pro-mode. Users can run these notebooks to explore and experiment with enhanced AI capabilities. The tool also provides an integrated Pro Mode API endpoint, allowing for programmatic access and integration into other applications. It supports a 'tournament mode' for generation and synthesis, which processes requests with a higher number of generations in groups for more comprehensive results. This open-source project encourages community contributions and feedback for feature additions.

Avanza Innovations is a global technology company focused on nascent technologies such as Blockchain, Artificial Intelligence, and Robotic Process Automation (RPA). They provide comprehensive services including consultancy, implementation, and program execution management. The company leverages its multi-award-winning blockchain platform, CIPHER, and its AI engine, IMPULSE, to deliver solutions for digital government transformation, financial regulation, trade, and supply chain management. Avanza Innovations also assists organizations in transitioning to Web 3.0, offering strategy, ideation, implementation, and tokenomics expertise. Their solutions cater to a wide range of sectors including government, real estate, healthcare, telecommunication, and finance, aiming to drive digital transformation and efficiency.

AgentStore functions as a dedicated online resource providing comprehensive information and various resources pertaining to 'agents'. While the specific nature of these agents is not detailed, the platform aims to be a primary source for users seeking knowledge and general interest topics within this domain. It appears to be a content-focused website designed to inform and guide visitors through various aspects of agent-related subjects, offering a centralized location for research and understanding.

gt-nlp-class is a comprehensive repository of course materials for Georgia Tech's Natural Language Understanding courses, CS 4650 and 7650. It offers a structured curriculum covering modern data-driven techniques for natural language processing, moving from shallow bag-of-words models to richer structural representations of meaning. The materials include lecture notes, problem sets, and readings, designed to help students acquire fundamental linguistic concepts, analyze and understand state-of-the-art algorithms, and implement these techniques. The course emphasizes practical application through assigned projects and provides supplemental textbooks for deeper understanding. It is a valuable resource for students and educators in the field of NLP, particularly those with a strong programming and mathematical background.

gptpdf is an open-source tool designed to parse PDF files into markdown format using advanced large visual models such as GPT-4o. It leverages the PyMuPDF library to identify and mark non-text areas within PDFs, which are then processed by the AI model to generate highly accurate markdown output. The tool is capable of preserving complex elements like typography, mathematical formulas, tables, pictures, and charts. With a simple Python API, users can integrate gptpdf into their workflows, providing flexibility for custom prompts and model selection. It supports various OpenAI API-compatible models and offers options for verbose output and parallel processing to enhance efficiency. The average cost for parsing a page is approximately $0.013, making it an efficient solution for document conversion.