AI Agents & Automation

Forethink is a private browser tool focused on unified search and digital information management. It provides users with capabilities to organize and manage their digital information efficiently, making it suitable for tasks requiring research and data analysis. The tool aims to streamline the process of handling various digital assets and information, offering a centralized approach to data organization. While specific features are not detailed on the provided website, its core function revolves around enhancing productivity through better information management within a browser environment.

Luxury Presence offers a comprehensive AI marketing platform specifically designed for top-performing real estate agents, teams, and brokerages. The platform includes a website builder for launching custom real estate websites, an AI-powered CRM to manage and nurture leads, and AI Marketing Specialists to support growth without additional hiring. It also provides tools for SEO, paid advertising, lead management, and creating presentations and CMAs. Additionally, Luxury Presence offers a home search portal, branded mobile apps, and solutions tailored for solo agents, celebrity agents, growing teams, and large brokerages, aiming to build brands, scale businesses, and enhance client experiences.

Upland BA Insight is an AI-powered enterprise search and AI enablement platform designed to enhance productivity and maximize AI investments. It addresses critical challenges in AI projects such as bad data, data exposure, limited visibility, and rigid AI frameworks by providing a flexible platform that connects to over 95 enterprise data sources. The platform offers intelligent web-like search, item-level security, semantic understanding, and conversational search with RAG enhancement. It also supports content enrichment, AI/ML models for personalized content, and environment flexibility, allowing users to choose their AI provider, LLM, search engine, and user interface. BA Insight aims to deliver the fastest time to value with fully scalable, out-of-the-box solutions.

Bluedot is an invisible, privacy-first AI note taker designed for both online and in-person meetings. It captures, transcribes, and summarizes every conversation without a bot joining the call, ensuring a non-intrusive experience. The tool delivers highly accurate AI meeting notes, including technical terms, to-dos, abbreviations, and speaker identification, in over 100 languages. Bluedot works across any platform, including Zoom, Google Meet, Microsoft Teams, and even phone calls, with dedicated apps for web, desktop, and mobile. It also offers post-meeting automation, syncing notes, transcripts, and action items to CRMs, ATSs, and other tools via its API, making it a shared memory for teams of all sizes.

fileAI is an AI-native data preparation and automation platform designed to transform unstructured data into trusted intelligence across the enterprise. It unifies data capture, governance, and orchestration into auditable AI workflows, addressing critical data gaps that often hinder AI implementation success. The platform features fileForge, an AI-native data intelligence engine that operationalizes fragmented data sources through governed workflows, offering multimodal AI OCR, classification, and over 100 ERP and system integrations. Purpose-built solutions like fileLedger automate financial operations, while fileShield provides intelligent case management for regulated environments. fileAI emphasizes auditable workflows, data integrity detection with fileForensics, and a proprietary AI Query language for contextual intelligence, ensuring that every decision leaves a traceable trail and the system continuously learns and improves.

KoalaKonvo is a Telegram bot that functions as an AI assistant, leveraging OpenAI's advanced capabilities. It offers a range of features including the ability to build and execute JavaScript code snippets, browse the web to provide summaries and data, and generate images. Users can also fix grammar, manage multiple conversation threads, and select different AI models. The service operates on a pay-as-you-go model, requiring users to supply their own OpenAI API key, thus avoiding monthly subscription fees. It also allows for sharing conversations in a browser. KoalaKonvo is currently free to use during its beta phase, though usage costs are incurred through the user's OpenAI API key.

ShapeLLM-Omni is an open-source, native multimodal Large Language Model (LLM) specifically designed for advanced 3D generation and understanding. This tool, highlighted at NeurIPS 2025, enables users to perform complex 3D tasks such as text-to-3D generation, image-to-3D conversion, 3D captioning, and 3D editing. It offers pretrained weights for both ShapeLLM-Omni (7B) and 3DVQVAE, along with a dataset of 50k high-quality 3D edited data pairs. Researchers and developers can leverage its capabilities for various applications in 3D AI, with ongoing developments including the release of the full 3D-Alpaca dataset and training code.

Sanctum AI is a private, local AI assistant designed to bring the power of generative AI to your desktop while ensuring complete privacy. It enables users to download and run full-featured open-source Large Language Models (LLMs) directly on their device, eliminating the need for an internet connection after initial setup. With on-device encryption and local storage, all user data remains secure within a 'Sanctum Vault' and never leaves the device. The tool offers easy setup and integration with Hugging Face, allowing access to thousands of GGUF models. Additionally, Sanctum AI supports private PDF interaction, enabling users to chat, ask questions, and summarize documents securely.

Step-Audio 2 is an end-to-end multi-modal large language model developed by stepfun-ai, focusing on industry-strength audio understanding and speech conversation. It excels in advanced speech and audio understanding, comprehending and reasoning semantic, paralinguistic, and non-vocal information. The model facilitates intelligent speech conversations that are contextually appropriate and can analyze user paralinguistic information like age and emotion for more accurate interpretations. Step-Audio 2 also supports tool calling and multimodal RAG, allowing it to access real-world knowledge and generate responses with fewer hallucinations, even switching timbres based on retrieved speech. It demonstrates state-of-the-art performance across various audio understanding and conversational benchmarks, with mini versions available under an Apache 2.0 license.

Hecco AI is an advanced AI health companion designed to reimagine personal health management. It features Tess, a voice-first AI assistant that provides real-time insights, charts, and visuals based on user input. The platform integrates seamlessly with wearables like Apple Health and Android, allowing for comprehensive tracking across 15 body systems. Users can organize medical documents, receive smart medication reminders, and follow personalized health journeys with measurable progress. Hecco AI offers specialized health plans for conditions like Diabetes and Heart Care, incorporating genomic testing and expert consultations. It's available as a mobile app on iOS and Android, ensuring health management is always accessible.

SuperSonic is a next-generation AI+BI platform that integrates Chat BI, driven by Large Language Models (LLMs), with Headless BI, powered by a semantic layer. This innovative approach ensures that Chat BI leverages the same curated and governed semantic data models as traditional BI, enhancing data consistency and reliability. The platform augments Chat BI's Text2SQL capabilities with context-retrieval from semantic models and extends Headless BI's query interface with natural language APIs. It provides a built-in Chat BI interface for natural language queries and visualizations, alongside a Headless BI interface for analytics engineers to construct semantic data models. SuperSonic is designed to be extensible and composable, supporting custom implementations via Java SPI, and includes features like rule-based semantic parsing, multi-turn conversation support, and three-level data access control.

SymbolicAI is a neuro-symbolic framework designed to integrate classical Python programming with the programmable nature of Large Language Models (LLMs). It emphasizes a modular and extensible design, allowing users to easily create custom engines, host local models, and interface with external tools like web search or image generation. The framework introduces 'Symbol' objects, which can operate in either syntactic (normal Python value) or semantic (neuro-symbolic engine-wired) modes, enabling complex chains of operations. A key differentiator is its implementation of Design by Contract principles for LLMs, helping to build correctness directly into the design through decorators, data models, and validation constraints to mitigate hallucination.

Dicio assistant is a free and open-source voice assistant application designed for Android devices, prioritizing user privacy by processing all commands and generating responses entirely on-device. This eliminates the need to send personal data to cloud servers. It supports a wide array of skills, including searching information, checking weather, playing media, setting timers, making calls, and providing translations. Dicio assistant offers multilingual support, currently available in Czech, Dutch, English, French, German, Greek, Italian, Polish, Russian, Slovenian, Spanish, Swedish, Turkish, and Ukrainian. It utilizes Vosk for speech-to-text and OpenWakeWord for wake word detection, with options for custom wake words. The project is open to contributions, with various components available on GitHub.

DeepSpeed is a powerful deep learning optimization library developed by Microsoft, designed to simplify and enhance distributed training and inference for large-scale AI models. It offers a suite of system innovations, including ZeRO, ZeRO-Infinity, and 3D-Parallelism, which significantly improve efficiency, scalability, and ease of use. The library has been instrumental in training some of the world's most powerful language models, such as MT-530B and BLOOM. DeepSpeed integrates seamlessly with popular open-source DL frameworks like Transformers, Accelerate, Lightning, MosaicML, and Determined, making it accessible to a wide range of developers. It supports various hardware accelerators, including NVIDIA, AMD, Intel Gaudi, Intel XPU, and Huawei Ascend NPU, ensuring broad compatibility and performance across different environments.

Parabolic is an AI-powered customer support agent designed to streamline ticket resolution and improve customer satisfaction. It integrates seamlessly with popular ticketing software like Intercom, Zendesk, and Helpscout. The tool trains on your specific support data, enabling it to answer both frequently and rarely asked questions with high accuracy. Parabolic features a 'human-in-the-loop' system, allowing agents to verify responses before sending, which also helps the AI continuously improve. It can auto-categorize incoming questions, navigate multi-step conversations, and even identify upsell/cross-sell opportunities based on customer pain points, turning support into a sales channel.

Pocket is a small AI device designed to capture everything you say and hear, transforming it into organized notes, actionable items, and searchable content. It integrates custom hardware with advanced AI models like GPT-5, Claude, and Gemini to provide a superior note-taking experience for individuals who need to move and think fast. The device offers features such as AI summaries, action items, and mind maps in over 120 languages, supported by studio microphones for clear audio and a contact mic for phone calls. With MagSafe compatibility, a 4-day battery life, and 64GB of storage, Pocket ensures your thoughts are captured instantly and securely, with end-to-end encryption and storage on your device or encrypted U.S. servers.

TextMatch is a comprehensive open-source library designed for various natural language processing tasks, including semantic matching, text classification, text embedding, text clustering, and text retrieval. It provides an easy-to-use framework for training models and exporting representation vectors. The library supports a wide array of models and techniques, ranging from traditional methods like Bow, TFIDF, and Ngram-TFIDF to advanced deep learning models such as BERT, ALBERT, and SimCSE. Additionally, it incorporates algorithms for clustering (Kmeans, DBSCAN), dimensionality reduction (PCA), and efficient similarity search (FAISS). TextMatch is ideal for developers and researchers looking to implement and experiment with different text processing and matching algorithms.

tf-dann is an open-source implementation of Domain-Adversarial Neural Networks (DANN) in Tensorflow, designed to address domain adaptation challenges. It leverages a gradient reversal layer to enable unsupervised domain adaptation through backpropagation, allowing models to generalize effectively across different domains even without labeled data in the target domain. The repository includes practical examples, such as experiments on a simple Blobs dataset and a recreation of the MNIST experiment from the original DANN papers. It provides instructions for generating the synthetic MNIST-M dataset and details the implementation of the `flip_gradient` operation using `tf.gradient_override_map`. This tool is ideal for researchers and developers working on machine learning models that need to perform well across varied data distributions.

tf-rnn-attention provides a Tensorflow implementation of the attention mechanism specifically designed for text classification tasks. This open-source project is inspired by the research presented in "Hierarchical Attention Networks for Document Classification" by Zichao Yang et al. It serves as a valuable resource for developers and researchers looking to integrate attention mechanisms into their natural language processing models. The repository includes Python code for attention, training, and utility functions, along with a visualization example. Users can leverage this tool to build and experiment with text classification models that benefit from the interpretability and performance enhancements offered by attention mechanisms.

MIRAI is an open-source benchmark designed for evaluating LLM agents in the temporal forecasting of international events. It emphasizes tool-use and complex reasoning capabilities, allowing agents to collect historical data and perform temporal reasoning to anticipate future event outcomes. The benchmark features an agentic environment with tools for accessing extensive databases of structured events and textual news articles, refined from the GDELT event database. MIRAI enables LLM agents to utilize different tools via a code-based interface, comprehensively evaluating their ability to autonomously source and integrate critical information, write code for domain-specific APIs, and jointly reason over diverse historical knowledge to accurately predict future events. It supports various LLM models and forecasting strategies like Direct IO, ZS-CoT, and ReAct.

TxAgent is an AI agent developed for precision therapeutics, focusing on generating personalized treatment recommendations. It employs multi-step reasoning and real-time biomedical knowledge retrieval, utilizing a comprehensive toolbox of 211 tools. The agent evaluates drug interactions at molecular, pharmacokinetic, and clinical levels, identifies contraindications based on patient comorbidities and concurrent medications, and tailors treatment strategies to individual patient characteristics like age, genetic factors, and disease progression. TxAgent retrieves and synthesizes evidence from multiple biomedical sources, assesses drug-patient condition interactions, and refines recommendations through iterative reasoning. It selects tools based on task objectives and executes structured function calls to solve complex therapeutic tasks requiring clinical reasoning and cross-source validation. The ToolUniverse integrates 211 tools, including all US FDA-approved drugs since 1939 and validated clinical insights from Open Targets. TxAgent is open-source and outperforms leading LLMs in drug reasoning and personalized treatment scenarios.

ToolOrchestra is an end-to-end Reinforcement Learning (RL) training framework designed to orchestrate tools and agentic workflows. It allows for the training of small orchestrators that efficiently coordinate the use of intelligent tools, surpassing larger models like GPT-5 in performance while being more efficient. The framework enables the Orchestrator to alternate between reasoning and tool calling in multiple turns, interacting with a diverse set of tools including web search, code interpreters, specialized LLMs, and generalist LLMs. Training is optimized through outcome, efficiency, and preference rewards via end-to-end reinforcement learning, supported by an automatic pipeline for synthesizing environment and tool-call tasks at scale. This framework has been used to produce Orchestrator-8B, a state-of-the-art 8B parameter model for solving complex, multi-turn agentic tasks.

Character.AI is a leading AI chat application where users can engage in conversations with millions of AI characters. The platform allows for creative exploration, enabling users to create their own AI chatbots and interact with a vibrant community. It offers features such as memory retention in conversations, voice interaction, and image generation. Users can also manage their subscriptions, privacy settings, and explore various guides and troubleshooting options through its comprehensive help center. Character.AI aims to provide an immersive and personalized chat experience, making it a versatile tool for both casual users and creators.

Agentmarkup is an open-source development tool designed to optimize websites for interaction with LLMs and AI agents. It offers build-time validation for critical machine-readable elements like JSON-LD structured data, `llms.txt` and `llms-full.txt` manifests, and optional A2A Agent Cards. The tool also provides AI crawler controls, manages Content-Signal headers, and can generate markdown mirrors for improved AI consumption. Tailored for modern web frameworks such as Next.js, Vite, and Astro, Agentmarkup ensures websites provide clear, machine-readable information without runtime cost. It helps developers and SEO specialists enhance discoverability and interpretability by AI, improving potential search engine rankings and enabling richer AI-powered experiences by automating crucial checks and maintaining data quality.