AI Agents & Automation

AgentSearch is a robust framework designed to empower search agents by integrating Large Language Model (LLM) technologies from diverse providers with various search engines. This integration facilitates Retrieval-Augmented Generation (RAG), enabling search agents to perform a wide array of functions, including summarizing search results, generating new queries, and retrieving detailed downstream results. Key features include effortless search agent building by connecting search-specialized LLMs (like Sensei-7B) with supported search engines, customizable local search using the AgentSearch dataset, and seamless API endpoint integration with hosted providers such as Bing, SERP API, and AgentSearch itself. It also supports LLMs from SciPhi, HuggingFace, OpenAI, and Anthropic, offering flexibility and ease of use for developers.

Rebuzz AI is an AI-powered content calendar designed to streamline social media marketing by generating 30 days of brand-consistent social media posts in under 10 minutes. Leveraging RAG (Retrieval-Augmented Generation) technology, the tool learns and adapts to your specific brand voice, ensuring all generated content aligns with your established identity. This makes it an efficient solution for businesses and marketers looking to maintain a consistent online presence without extensive manual effort. It offers a free trial, allowing users to experience its capabilities in automating content creation and calendar management.

Inkeep Agents provides a platform for building AI agents with a unique dual approach: a no-code visual builder and a TypeScript SDK. This innovative design ensures full two-way synchronization, allowing both technical developers and non-technical team members to create, edit, and manage AI agents seamlessly within a single platform. It's ideal for shipping AI assistants, such as customer experience agents or internal copilots, and for automating AI workflows like updating knowledge bases or triaging helpdesk tickets. The platform includes a multi-agent architecture, MCP Tools for credential management, a UI component library for dynamic chat experiences, and observability via a Traces UI. It supports easy deployment via Vercel or Docker and is licensed under the Elastic License 2.0.

agents-js is a Node.js distribution of the LiveKit Agents framework, designed for building realtime, programmable participants that run on servers. It allows developers to create conversational, multi-modal voice agents capable of seeing, hearing, and understanding. The framework offers flexible integrations with various STT, LLM, TTS, and Realtime APIs, and supports extensive WebRTC clients through LiveKit's open-source SDK ecosystem. Key features include semantic turn detection using a transformer model to reduce interruptions, and the ability to exchange data seamlessly with clients via RPCs and other Data APIs. It is fully open-source, allowing for self-hosting of the entire stack, including the LiveKit server. The framework also provides a comprehensive ecosystem of plugins for processing streaming input and generating output, such as those for OpenAI, Google, Deepgram, and ElevenLabs.

RePAIRproject2021, an acronym for Reconstructing the Past: Artificial Intelligence and Robotics meet Cultural Heritage, is a research initiative focused on revolutionizing archaeological reconstruction. The project employs state-of-the-art AI and robotics technology to physically reassemble fragmented archaeological artifacts, such as vases, amphorae, and frescoes. Its primary goal is to develop innovative technology that significantly reduces the time and effort traditionally required for reconstructing shattered works of art, which are often found in numerous pieces at excavation sites. This project addresses the challenge of reassembling damaged, worn out, or entirely missing fragments, aiming to make the process more efficient and less frustrating for researchers.

AutoGroq is a groundbreaking tool designed to revolutionize how users interact with Autogen™ and other AI assistants. It dynamically generates tailored teams of AI agents based on specific project requirements, removing the need for manual configuration. This allows users to efficiently tackle any question, problem, or project. Key features include dynamic expert agent generation, dynamic workflow generation for custom teams, natural conversation flow, and intelligent code snippet extraction into a 'Whiteboard' section. AutoGroq also offers flexible agent management, advanced prompt rephrasing, bulk file upload to Autogen, and support for multiple LLMs like Groq, ChatGPT, and Ollama, with the option to integrate custom provider models. Skill integration allows users to extend agent capabilities by simply adding skill files.

ART (Agent Reinforcement Trainer) is an open-source framework designed to improve agent reliability by enabling Large Language Models (LLMs) to learn from experience. It provides an ergonomic harness for integrating GRPO (Generalized Reinforcement Policy Optimization) into any Python application, allowing users to train multi-step agents for real-world tasks. ART features a serverless RL training service that manages infrastructure automatically, promising lower costs and faster training cycles. It supports a wide range of vLLM/HuggingFace-transformers compatible causal language models, including Qwen3.5, GPT-OSS, and Llama. The tool offers flexible observability and simplified debugging through integrations with platforms like W&B, Langfuse, and OpenPipe, and is customizable with intelligent defaults for training parameters and inference engine configurations.

Furhat Robotics specializes in humanoid social robots equipped with advanced conversational AI and social skills. Their flagship product, Furhat, is designed for research and education, backed by extensive human-robot interaction (HRI) research. The platform includes a Realtime API for live-streaming data and integrating custom AI models, along with an SDK for desktop development. The FurhatAI Creator allows users to prototype cases and projects quickly using Large Language Models, enabling customization of personality, expressivity, and integration of knowledge sources. Furhat supports multi-party interactions through real-time face tracking and offers a customizable 3D face engine and voice synthesis for diverse appearances and languages. Comprehensive tutorials and documentation are available to support users in developing and deploying applications.

Perfectly is an AI-native recruiting agency designed to significantly accelerate the hiring process. It leverages autonomous AI recruiters to manage sourcing, outreach, screening, and candidate engagement, allowing companies to focus solely on interviewing top talent. The platform aims to fill interviewing schedules within 24 hours and roles typically within 2-4 weeks, claiming to be 4x faster than traditional agencies. Built by ML scientists from TikTok and Meta, Perfectly applies recommender system accuracy to hiring, modeling candidate success and ranking them based on interview and job performance. It offers a continuous learning system that gets smarter with every role, acting as a long-term recruiting partner.

XTrace acts as a unified memory infrastructure, connecting various AI tools like ChatGPT, Claude, and Gemini, along with native syncs for platforms such as Notion, Slack, Granola, Drive, and GitHub. It synthesizes information into a shared brain that reasons, detects conflicts, unifies identities, and versions facts. This allows both human teammates and AI agents to draw from the same living, current, and cited context. XTrace aims to help companies capture more value from their AI tool usage by providing persistent context, reducing repetition, and improving the accuracy of AI responses. It offers a Chrome extension and an API for developers to integrate its memory engine, XMem, into their own AI agents.

AdaLab.ai is an AI research and product studio based in Hamburg, specializing in building and shipping machine learning products. They offer custom ML solutions for enterprise clients, tackling complex problems and putting the latest research into production. A notable product from their studio is Plazmapunk, an AI-powered music visualizer that transforms any track into a music video without requiring editing skills. Plazmapunk features AI-powered visuals that move to the beat, an intuitive interface, and real-time preview capabilities, allowing users to tweak and iterate quickly. AdaLab.ai emphasizes a practical approach, focusing on delivering working AI products rather than just concepts.

Scanlist is an AI-powered platform designed to accelerate lead generation and outreach efforts by combining contact scraping with AI-driven content creation. It enables users to extract business contacts and personal emails from LinkedIn Sales Navigator and regular LinkedIn searches, enriching lists with over 20 data points and verifying emails with 97% accuracy. Beyond data extraction, Scanlist features an AI marketing assistant capable of generating over 70 types of marketing copy, from cold email templates to social media ads and landing page CTAs. It also supports full article writing in four steps and includes an Email Analyzer for deliverability and readability testing. The tool further offers hyper-personalized message generation for cold emails, LinkedIn connection messages, and ice-breakers, making it ideal for sales, marketing, and recruiting teams.

Standard Bots provides an integrated solution for industrial automation, featuring AI-native robots designed and assembled in the USA. Their product line includes Spark, Core, Thor, and DROID Bolt robots, catering to tasks from light-duty automation to heavy lifting and welding. The platform boasts no-code software, allowing factory workers to operate robots with minimal training, and an easy-to-program routine editor. A key differentiator is its physical AI platform, enabling robots to learn tasks through demonstration, capture human skill via onboard vision, and train models in the cloud for speed and accuracy. This self-correcting AI adapts to changes, making complex automation accessible and efficient for various manufacturing applications.

better-chatbot is a robust open-source AI chatbot platform designed for individuals and teams, drawing inspiration from leading AI services like ChatGPT, Claude, Grok, and Gemini. It features multi-AI support, integrating major LLMs such as OpenAI, Anthropic, Google, xAI, and Ollama. The platform provides powerful tools including the MCP protocol, web search, JavaScript/Python code execution, and data visualization capabilities. Users can also generate and edit images with AI models, automate tasks with custom agents and visual workflows, and collaborate by sharing configurations. A real-time voice assistant with full MCP tool integration and an intuitive UX with @mention functionality further enhance its utility. It can be deployed quickly and freely with Vercel.

BetterChatGPT offers a free, powerful, and limitless user interface for OpenAI's ChatGPT API, available as a website and dedicated desktop applications for Windows, MacOS, and Linux. It enhances the conversational AI experience with features like a prompt library, chat organization into folders with colors, token count and pricing display, and ShareGPT integration. Users can customize model parameters, edit and reorder messages, and automatically save chats to local storage. The tool also supports importing/exporting chats, downloading conversations in various formats, and syncing to Google Drive. With Azure OpenAI endpoint support and multiple language options, BetterChatGPT aims to provide an unparalleled and accessible chatbot experience for a wide range of users.

BloombergGPT is a 50-billion parameter large language model developed by Bloomberg, specifically designed for the financial industry. It has been trained from scratch on a vast dataset of financial data to support a diverse range of natural language processing (NLP) tasks. This model demonstrates superior performance on financial tasks compared to other open models of similar size, while also maintaining or exceeding their performance on general NLP benchmarks. Its specialized training makes it highly effective for applications within finance, offering advanced capabilities for analyzing and interpreting complex financial information.

Techjays is an AI reimagination company dedicated to helping American businesses and industries unlock the economic potential of artificial intelligence. They partner with visionary leaders to move businesses forward by reimagining processes and accelerating outcomes through AI. Techjays offers enterprise AI strategy, consulting, and delivery services, guiding clients from discovery and proof of concept to building and optimizing AI solutions. Their approach emphasizes speed and purpose, aiming for rapid transformation. The company focuses on delivering measurable ROI through AI automation, leading to revenue growth, cost reduction, and productivity gains. Techjays operates on an outcome-based model, sharing risk with clients and ensuring payment is tied to delivered results, fostering a win-win partnership.

Brainbase Labs is an applied AI research lab dedicated to enabling the integration of artificial intelligence into the workforce. The lab specializes in building high-fidelity agent environments and tooling, which are crucial for developing sophisticated AI solutions. Their primary focus is on business automation, aiming to provide enterprise-grade AI solutions that address various business needs. By creating advanced agent environments, Brainbase Labs helps organizations leverage AI to streamline operations, enhance efficiency, and drive innovation across different sectors. This approach allows businesses to implement AI agents that can perform complex tasks and adapt to dynamic work environments.

Call Center AI is an AI-powered solution developed by Microsoft that leverages Azure and OpenAI GPT to automate and enhance call center operations. It enables sending phone calls from an AI agent via an API call or directly calling the bot from a configured phone number. Key features include inbound and outbound call integration, multi-language support, real-time conversation streaming, and the ability to resume calls after disconnections. The system uses gpt-4.1 and gpt-4.1-nano for nuanced comprehension, handles sensitive data securely with RAG best practices, and understands domain-specific terms. It also offers customization through prompts, human agent fallback, call recording, and integrates with Azure Communication Services, Cognitive Services, and OpenAI for a scalable, serverless architecture.

call-me is a minimal plugin designed for Claude Code, allowing the AI to initiate phone calls to users. This functionality is crucial for scenarios where Claude finishes a task, gets stuck, or requires a decision, enabling real-time, multi-turn conversations. The plugin supports various devices including smartphones, smartwatches, and landlines. It integrates with phone providers like Telnyx and Twilio, and uses OpenAI for speech-to-text, with an option for local, free text-to-speech via Kokoro. Users can configure environment variables for phone provider credentials, OpenAI API keys, and ngrok for webhook tunneling, making it a flexible solution for developers looking to add voice interaction to their Claude Code projects.

Sklls offers an AI-powered simulation training platform designed for emergency personnel and dispatchers. It utilizes generative AI to create realistic virtual callers, enabling operators to practice handling life-threatening situations and internalize communication protocols. The web-based platform features dynamic conversational AI that responds to various scenarios and contexts, along with a no-code scenario editor for custom training. Sklls supports emotional voices and multiple languages, providing a flexible and accessible training solution available 24/7. It also includes KPI tracking and gamification elements to monitor operator performance, aiming to reduce stress, improve preparedness, and enhance overall performance through low-dose, high-frequency training.

Seadronix specializes in AI-powered solutions for the maritime industry, focusing on port-vessel connectivity and autonomous shipping. Their data-driven approach aims to improve safety and efficiency in marine logistics. Key products include NAVISS Bridge and NAVISS Hub for ships, NAVISS Compact for small vessels, AVISS for port monitoring, and Rec-SEA Player. The technology leverages specialized maritime environment AI to detect and classify objects on the sea surface, from buoys to large ships, and uses sensor fusion to combine visual data from Radar and LiDAR for optimized results. Seadronix is committed to leading the advancement of a safer and smarter maritime future.

Spinacle is an AI company focused on engineering AI solutions to build commerce infrastructure for the age of AI agents. Their primary product, Myve, is an agent-era affiliate network designed to help local businesses discover, refer, and earn from each other. Myve achieves this through AI-powered chatbots embedded on business websites, which capture customer intent and route referrals to partner businesses. This approach facilitates cross-referral commerce within neighbourhood networks, bypassing traditional advertising platforms and middlemen. Spinacle is currently piloting its solutions in Chennai, Bangalore, and Hyderabad, aiming to empower local economies through intelligent, interconnected business ecosystems.

chat.js offers a comprehensive, production-ready foundation for building AI chat applications, allowing developers to bypass the need to rebuild common AI chat infrastructure. It supports over 120 AI models, including Claude, GPT, Gemini, and Grok, all accessible via a unified API. Key features include robust authentication options (GitHub, Google, anonymous), support for various attachments like images and PDFs, and resumable streams for continuous generation. The platform also enables conversation branching, public sharing of chats, real-time web search integration, and AI-powered image generation. Developers can also leverage code execution in a sandbox, Model Context Protocol (MCP) support, and even package their applications as native desktop apps using Electron. The stack is built on Next.js, TypeScript, AI SDK, and other modern technologies, providing a full-featured environment for creating unique AI chat experiences.