AI Agents & Automation

Real-time-stock-market-prediction is an open-source project that offers a complete server-side architecture for real-time stock market prediction using Machine Learning. It leverages TensorFlow.js for building the ML model architecture and Kafka for efficient real-time data streaming and pipelining. The system integrates MongoDB for updating databases with incoming stock market logs, enabling analysis and model training, and storing model performance. Developed entirely with Node.js, this architecture supports parallel processing for real-time analysis, ML model training, and prediction, making it suitable for those interested in applying machine learning to financial market analysis and developing robust predictive models.

Penny App is an AI-powered platform designed to transform social selling for direct sellers and network marketers. It provides an intelligent mobile assistant that streamlines daily operations, automates follow-ups, and centralizes contact management to significantly boost productivity. Users benefit from AI-driven daily action lists, high-performance script generation, and customized learning modules tailored to their business needs. Penny helps sellers with new business growth, exceptional customer care, and repeat business by building repeatable behaviors. The platform also offers solutions for corporations, including revenue acceleration programs, digital transformation, and business intelligence, ensuring global deployments and continuous success.

Luel is a two-sided marketplace designed to facilitate the exchange of high-quality AI training data, specifically focusing on video and audio content. It connects AI development teams seeking specific datasets with contributors who can provide the necessary video, audio, and image content. The platform ensures that all training data is curated, rights-cleared, and verified, making it suitable for commercial use. Enterprises can access a catalog of premium datasets or request custom data collection campaigns, benefiting from enterprise-grade quality and compliance. Contributors, on the other hand, can upload their content, such as cooking tutorials, voice samples, or product photos, to earn income with fast payouts and fair rates, without upfront costs.

Poker is a fully functional poker bot designed to automate gameplay on popular platforms like PartyPoker, PokerStars, and GGPoker. It employs advanced image recognition techniques, including Open-CV or neural networks, to scrape table information. Decisions are then made using a sophisticated combination of genetic algorithms and Monte Carlo simulations for accurate poker equity calculation. The bot can operate for extended periods, moving the mouse automatically based on a large number of adjustable parameters. Users can download binaries for direct execution and even run the bot within a virtual machine to prevent interference with their main computer. It also features a strategy analyzer and editor, allowing for customization and optimization of playing strategies.

BMInf (Big Model Inference) is an open-source toolkit designed to facilitate efficient inference for large-scale pretrained language models (PLMs). It enables the execution of models with over 10 billion parameters, even on low-resource hardware like a single NVIDIA GTX 1060 GPU. The tool offers significant performance improvements over existing PyTorch implementations, particularly for GPUs like V100 or A100. BMInf 2.0.0 introduced compatibility with any transformer-based model, making it a versatile solution for researchers and developers working with big AI models. It provides methods for automatic model conversion using `bminf.wrapper` or manual replacement of modules like `torch.nn.ModuleList` and `torch.nn.Linear` for optimized performance.

WeDLM is an open-source diffusion language model developed by Tencent, designed for high-speed inference. It uniquely reconciles diffusion language models with standard causal attention, enabling native KV cache compatibility with technologies like FlashAttention and PagedAttention. This approach allows for direct initialization from pre-trained autoregressive models such as Qwen2.5 and Qwen3, delivering significant real speedups compared to vLLM-optimized baselines. WeDLM achieves 3-6x speedup on tasks like math reasoning and up to 10x on sequential/counting tasks, while maintaining competitive accuracy. It includes an inference engine, evaluation suite, and a fine-tuning framework, making it a powerful tool for developers and researchers focused on efficient language model deployment.

CallFluent AI enables businesses and agencies to create AI-powered phone calling agents that handle both inbound and outbound calls 24/7. The platform offers a no-code builder, allowing users to deploy AI employees for sales, bookings, surveys, and customer support without technical skills. Key features include over 400 neural AI voices in 40+ languages, lightning-fast responses, and seamless integration with popular tools like GoHighLevel, Google Calendar, ElevenLabs, OpenAI, Zapier, n8n, Make, Twilio, and CRMs. CallFluent AI supports various use cases such as appointment reminders, payment reminders, customer follow-ups, delivery updates, outreach campaigns, subscription reminders, general inquiries, appointment booking, order status, lead qualification, billing inquiry assistance, and service request intake. Users can also white-label the service for their agencies.

CfC (Closed-form Continuous-time Neural Networks) is an open-source library providing implementations of powerful sequential liquid neural information processing units. It offers various versions of CfC models in both TensorFlow 2.x and PyTorch. The library includes training scripts for different datasets such as Physionet 2012, XOR, IMDB, and Walker2d, adapting code from established research. CfC is designed for AI researchers and developers working with continuous-time models and liquid neural networks, offering flexibility with flags to run minimal versions, use LTC, or mix with LSTM for gradient handling.

AlwaysReddy is an open-source LLM voice assistant designed to be accessible via hotkeys, providing a seamless voice interaction experience with AI. It allows users to voice chat, read from and write to the clipboard, and even process images from the clipboard with supported LLMs. The tool emphasizes minimal UI friction and can run 100% locally, supporting Windows, Mac (experimental), and Linux (super experimental). It integrates with various LLM servers like OpenAI, Anthropic, and local options like LM Studio and Ollama, as well as TTS systems like Piper TTS and OpenAI TTS API. AlwaysReddy is ideal for quick tasks like note-taking, proofreading, information retrieval, and journal entries, all without needing to switch windows or tabs.

Mapless AI offers a comprehensive solution for remote car operation, allowing full operational remote control of existing fleet vehicles. The technology focuses on providing optimized, low-latency connectivity between remote operators and vehicles, enabling navigation of complex scenarios and precise maneuvering. This system is designed for existing fleets, featuring scalable retrofits that combine software and automotive-grade hardware. The installation is temporary, reversible, and causes no cosmetic damage. Mapless AI also provides a Dispatch-as-a-Service option, where trained remote operators manage fleet vehicle dispatch on-demand, eliminating the need for clients to onboard their own driving staff. This technology is currently in use for services like fleet valet at Pittsburgh Airport and carshare rebalancing in Detroit.

rpaframework is a comprehensive, open-source collection of libraries and tools specifically designed for Robotic Process Automation (RPA). It seamlessly integrates with both Robot Framework and Python, providing a robust foundation for automating various tasks and processes. The project is sponsored by Robocorp and optimized for their Control Room and Developer Tools, ensuring a streamlined development experience. It includes a wide array of libraries for browser automation (Selenium, Playwright), desktop automation, email operations (Exchange, IMAP/SMTP), Excel and PDF manipulation, file system interactions, and integrations with cloud services like AWS, Azure, and Google. Additionally, it offers libraries for intelligent document processing, database interactions, and APIs for services like HubSpot, Microsoft Graph, OpenAI, Salesforce, SAP, Slack, and Twitter, making it a versatile solution for complex automation needs.

Verint is a leader in CX automation, providing an open CCaaS platform powered by AI and bots to help iconic brands achieve tangible AI business outcomes. The platform offers capabilities like Conversational and Agentic AI, CX Analytics, Knowledge Automation, Copilots, Quality Automation, and Workforce Engagement. It aims to lower costs, increase revenue, and elevate customer experience by automating CX workflows and improving agent capacity. Verint helps businesses embrace Generative AI, improve service quality, boost agent productivity, and move to an open CCaaS platform, with a strong emphasis on measurable ROI.

Trillet AI offers an advanced AI call answering service designed to act as a virtual receptionist for businesses. Unlike traditional answering services that merely take messages, Trillet AI focuses on vetting callers, automating intake processes, and managing follow-ups to secure bookings and qualify leads. It integrates with calendars and CRMs, supports 32 languages, and can be set up in just 5 minutes by scanning a business's website. The service also features spam and telemarketer blocking, call transcripts, and summaries, ensuring businesses receive only qualified interactions. Trillet AI is available 24/7, providing a cost-effective alternative to human receptionists, with plans starting at $49/month.

LiveAgent is an all-in-one customer service platform designed to deliver seamless support with AI-powered help desk features. It integrates an AI chatbot, live chat, ticketing system, and call center functionalities into a single dashboard, enabling businesses to automate up to 75% of customer conversations. The platform offers AI Agents like AI Chatbot for instant 24/7 support in over 100 languages, AI Answer Assistant for polished replies, AI Human Handover for seamless agent escalation, and AI Autoresponder for auto-ticket resolution. LiveAgent unifies various communication channels including email, live chat, phone, social media, WhatsApp, and Viber, helping businesses manage all customer interactions from one place and increase support team productivity by up to 20%.

Klavis AI offers live, managed sandbox environments for training and evaluating AI agents, designed to solve common infrastructure problems like managing test accounts, setting up test data, and ensuring isolated, parallel runs. It provides full environment fidelity, seeded state data, and is ready for reinforcement learning and evaluation. The platform supports training agents on realistic, long-horizon, complex agentic tasks across various applications like browser sessions, computer actions, code repos, and SaaS tools. Klavis AI is building open-source infrastructure to simplify the use, building, and scaling of Model Context Protocols (MCPs), offering Slack/Discord clients, hosted MCP servers, and a simple web UI. It also includes security features like Secure Integration with built-in OAuth support.

LangChain provides a comprehensive engineering platform and open-source frameworks designed for developers to build, test, and deploy reliable AI agents. The platform, LangSmith, offers robust tools for observability, allowing users to trace agent execution and understand complex interactions. It also includes evaluation capabilities to score and improve agent performance using real-world usage data and human feedback. For deployment, LangSmith supports shipping and scaling agents in production with features like memory, conversational threads, and durable checkpointing. Additionally, LangChain offers open-source frameworks like deepagents, langchain, and langgraph for building various types of agents, from quick-start prototypes to reliable production systems with low-level control.

ModelOp is a leading AI lifecycle management and governance platform designed for enterprises. It provides a centralized AI system of record, enabling visibility into all internal and third-party AI solutions. The platform automates AI deployment with enforceable policies, accelerating time-to-production for ML, GenAI, Agentic AI, and vendor AI. ModelOp helps organizations control costs, ensure audit-readiness, and deliver executive insights by integrating with existing systems to orchestrate governance. It supports various industries and roles, offering solutions for AI governance, risk management, and compliance with standards like NIST AI RMF and EU AI Act.

Harmony Weekly Planner is an iOS application designed to help individuals achieve work-life harmony by focusing on mission-driven planning. Users can define a personal mission statement through a guided process and then plan their weeks around various life roles such as 'Husband,' 'Father,' or 'Professional.' The app encourages setting 1-2 meaningful goals for each role weekly, ensuring all important areas of life receive attention. Key features include native iOS alarm notifications to make important tasks urgent, Home Screen widgets for mission statements and weekly goals, and local-first data storage for privacy. Harmony aims to simplify planning and help users prioritize what truly matters, moving beyond traditional to-do lists.

ChatLab is an open-source desktop application designed to help users rediscover and analyze their social memories through local, AI-powered analysis. It combines a flexible SQL engine with AI agents to enable exploration of patterns, asking better questions, and extracting insights from chat data, all processed on the user's own machine. The tool supports various chat platforms including WhatsApp, LINE, WeChat, QQ, Discord, Instagram, and Telegram, with plans to add iMessage, Messenger, and KakaoTalk. Key features include efficient processing for large chat histories, privacy by keeping data local, AI agent and function calling workflows for data operations, and rich visual views for trends and patterns. Its architecture prioritizes local-first processing, streaming for efficiency, composable AI intelligence, and a schema-first approach for data consistency.

Jobright is an AI-powered job search copilot designed to streamline and enhance the job application process. It offers personalized AI job matching, ensuring users see opportunities truly aligned with their skills and qualifications, free from fake listings. The platform features a 1-Click Application Autofill, allowing users to apply to numerous jobs daily across major ATS platforms, saving up to 80% of their time. Jobright also provides a job-specific tailored resume builder that crafts professional, ATS-compliant resumes in seconds. Additionally, it facilitates insider referrals by connecting users with alumni and hiring managers, potentially increasing interview chances by 4X. A 24/7 AI Career Copilot offers personalized guidance throughout the job search and interview preparation.

Transformer-TTS is a PyTorch implementation of the "Neural Speech Synthesis with Transformer Network," designed for efficient and high-quality speech synthesis. This model boasts training speeds 3 to 4 times faster than well-known seq2seq models such as Tacotron, while maintaining comparable synthesized speech quality. It utilizes a post-network based on the CBHG model from Tacotron and converts spectrograms into raw audio waves using the Griffin-Lim algorithm. The project includes detailed instructions for data preparation, training the autoregressive attention network and post-network, and generating TTS samples, making it a valuable resource for researchers and developers in speech synthesis.

CaptureKit offers a robust Screenshot API designed for developers to automate website screenshots, content extraction, and AI analysis. It enables users to capture pixel-perfect images in various formats like PNG, JPEG, WebP, or PDF, with options for full-page capture, CSS selector targeting, and device emulation. Beyond screenshots, CaptureKit can extract metadata, links, clean Markdown, or HTML from any URL, and integrate AI analysis for summaries, categories, and contact signals. The platform boasts edge caching, fast response times, and a global infrastructure that handles headless browsers and scaling, allowing developers to focus on their applications rather than browser management. It integrates with popular tools like Zapier, n8n, Make, and various LLMs, making it versatile for different workflows.

xoul.ai is an innovative entertainment and storytelling platform powered by AI, designed for users to create, explore, and share AI characters (Xouls) and scenarios. The platform emphasizes freedom of expression and unfettered creativity, aiming to provide intentional and meaningful experiences rather than an endless stream of content. Users can chat with AI characters, generate images and voice messages, and even create entire worlds. It offers various subscription plans with different energy allowances, cell allocations for premium features, and enhanced streak rewards. The platform supports community engagement through Discord and Reddit, and offers referral bonuses for new sign-ups.

The fastapi-langgraph-agent-production-ready-template is a comprehensive solution for AI engineers looking to build robust AI agent backends using FastAPI and LangGraph. This template addresses critical aspects of AI agent development, including stateful conversations, long-term memory management, and tool calling. It integrates essential features like Langfuse tracing for observability, Prometheus metrics with Grafana dashboards for monitoring, and JWT authentication with session management for security. Additionally, it includes rate limiting via slowapi, Alembic migrations for database management, and an optional Valkey/Redis cache layer. The template is designed to handle the complex infrastructure, allowing developers to focus on agent logic and accelerate their application development.