Mockuplabs.ai is an AI-based online tool designed to generate professional product mockups instantly from user-uploaded images. It provides over ten thousand copyright-free mockup templates, powerful editing tools including color changers, all-over print design, text editing, background removal, and AI image generation. Its intuitive platform empowers designers and sellers in print-on-demand and eCommerce industries to create high-quality promotional visuals without advanced design skills.

WorkPPT harnesses the power of artificial intelligence to automate the presentation creation process. It allows users to input their ideas and keywords, automatically generating slides that are visually coherent and professionally styled. The platform supports unlimited presentations and integrates advanced editing tools, enabling users to fine-tune their slides effortlessly. Whether for business meetings, educational purposes, or personal projects, WorkPPT serves as a versatile assistant that accommodates various presentation needs.

Sindarin is an intelligent agent that specializes in content creation, workflow automation, and task management. It can generate text, automate routine processes, and assist in enhancing user productivity. By utilizing advanced algorithms, Sindarin adapts to user preferences, providing tailored results, making it an indispensable tool for professionals seeking efficiency.

Scrape.do is an AI Agent that specializes in web scraping, allowing users to automate the extraction of data from websites. With features like data parsing, integration with APIs, and user-friendly interfaces, it simplifies the process of gathering structured data for various applications, including market research, competitive analysis, and SEO. Users can configure scraping tasks easily to meet their specific needs, making data collection faster and more efficient.

Coconuts AI is a versatile AI agent that specializes in content generation across various formats. It provides users with the tools needed to produce compelling text, create striking images, and develop customizable content tailored to their specific needs. By utilizing cutting-edge algorithms, Coconuts AI streamlines the creative process, making it easier for individuals and businesses to produce high-quality materials quickly and effectively.

Buildform is a specialized AI Agent designed to assist users in creating and managing digital forms effortlessly. With features that enable intuitive drag-and-drop functionality, customizable templates, and automated data analysis, Buildform allows users to focus on their content rather than technical complexities. Its AI capabilities enhance user experience by suggesting improvements and optimizing forms based on user engagement metrics.

Bitpart AI is a robust automation tool that leverages artificial intelligence to assist users in generating high-quality content, including articles, social media posts, and multimedia assets. It is tailored for businesses and individuals looking to streamline their content production process, enhance engagement, and save time on manual tasks.

RapidCanvas employs cutting-edge AI algorithms to simplify the content creation process for marketers, designers, and content creators. The platform enables users to generate high-quality visuals, including images and designs, efficiently, saving time and resources while enhancing creativity. By leveraging AI, users can produce tailored visual content that resonates with their audience, perfect for marketing campaigns and social media posts.

Todoist Meeting Manager Agent is an AI-powered tool designed to automate every aspect of meeting follow-up within Todoist. After you input meeting agendas or notes, the agent employs advanced natural language understanding to extract action items, deadlines, and responsibilities. It then uses the Todoist API to create categorized tasks with due dates and assignees, ensuring nothing falls through the cracks. Additionally, it generates a clear meeting summary, highlighting key decisions and next steps. Customizable templates allow you to tailor task labels and priorities, while scheduled reminders keep your team on track. Ideal for busy professionals, this agent optimizes post-meeting workflows for maximum efficiency.

Solana AI Agent Mult via Web3.js. The agent automatically signs transactions using a configured wallet keypair, submits them to a Solana RPC endpoint, and monitors confirmations. Its modular architecture allows easy extension with custom prompt templates, chains, and instruction builders, enabling use cases such as automated NFT minting, token swaps, wallet management bots, and more.

Threll AI is an innovative AI agent designed specifically for automating document processing. It utilizes advanced machine learning algorithms to analyze, extract, and manage data from various documents. Users can automate repetitive processes, enhance accuracy, and improve overall productivity. By providing tailored solutions for document workflow management, Threll AI significantly reduces the time and effort involved in manual data entry and processing, making it an essential tool for businesses seeking operational efficiency.

ModelScope Agent provides a modular, Python‐based framework to orchestrate autonomous AI agents. It features plugin integration for external tools (APIs, databases, search), conversation memory for context preservation, and customizable agent chains to handle complex tasks such as knowledge retrieval, document processing, and decision support. Developers can configure agent roles, behaviors, and prompts, as well as leverage multiple LLM backends to optimize performance and reliability in production.

Airkit.ai functions as an intelligent automation platform that allows businesses to create custom AI agents for managing customer interactions. Through its user-friendly interface, users can design chatbots that resolve queries, provide information, and facilitate transactions, all while enhancing customer satisfaction. By leveraging machine learning and natural language processing, Airkit.ai ensures that interactions are more intuitive and efficient, ultimately driving better business outcomes.

In LORS, users can ingest collections of documents, preprocess texts into embeddings, and store them in a vector database. When a query or summarization task is issued, LORS performs semantic retrieval to identify the most relevant text segments. It then feeds these segments into a large language model to produce concise, context-aware summaries. The modular design allows swapping embedding models, adjusting retrieval thresholds, and customizing prompt templates. LORS supports multi-document summarization, interactive query refinement, and batching for high-volume workloads, making it ideal for academic literature reviews, corporate reporting, or any scenario requiring rapid insight extraction from massive text corpora.

Eliza is a lightweight, open-source conversational framework that simulates a psychotherapist via pattern matching and scripted templates. Developers can define custom scripts, patterns, and memory variables to tailor responses and conversation flows. It runs in any modern browser or webview environment, supports multiple sessions, and logs interactions for analysis. Its extensible architecture allows integration into web pages, mobile apps, or desktop wrappers, making it a versatile tool for education, research, prototype development, and interactive installations.

Chat2Graph integrates with the TuGraph graph database to deliver a conversational interface for graph data exploration. Through pre-built connectors and a prompt-engineering layer, it translates user intents into valid graph queries, handles schema discovery, suggests optimizations, and executes queries in real time. Results can be rendered as tables, JSON, or network visualizations via a web UI. Developers can customize prompt templates, integrate custom plugins, or embed Chat2Graph in Python applications. It's ideal for rapid prototyping of graph-powered applications and enables domain experts to analyze relationships in social networks, recommendation systems, and knowledge graphs without writing manual Cypher syntax.

AiBlogBot is a powerful AI writing tool that automates the blog creation process. It uses advanced algorithms to generate well-structured articles tailored to your specified keywords and themes. The platform provides an easy-to-use interface, where users can either input their ideas or select from suggested topics. With its focus on SEO optimization and readability, AiBlogBot ensures that your content not only captivates readers but also ranks well on search engines.

The repository provides a step-by-step tutorial and reference implementation for creating a ReAct-based AI agent that uses DeepSeek for high-dimensional vector retrieval. It covers environment setup, dependency installation, and configuration of vector stores for custom data. The agent employs the ReAct pattern to combine reasoning traces with external knowledge searches, resulting in transparent and explainable responses. Users can extend the system by integrating additional document loaders, fine-tuning prompt templates, or swapping vector databases. This flexible framework enables developers and researchers to prototype powerful conversational agents that reason, retrieve, and interact seamlessly with various knowledge sources in a few lines of Python code.

The RAG-based Intelligent Conversational AI Agent combines a vector store-backed retrieval layer with Google’s Gemini LLM via LangChain to power context-rich, conversational knowledge extraction. Users ingest and index documents—PDFs, web pages, or databases—into a vector database. When a query is posed, the agent retrieves top relevant passages, feeds them into a prompt template, and generates concise, accurate answers. Modular components allow customization of data sources, vector stores, prompt engineering, and LLM backends. This open-source framework simplifies the development of domain-specific Q&A bots, knowledge explorers, and research assistants, delivering scalable, real-time insights from large document collections.

Llama-Agent is a developer-focused toolkit for creating intelligent AI agents powered by large language models. It offers tool integration to call external APIs or functions, memory management to store and retrieve context, and chain-of-thought planning to break down complex tasks. Agents can execute actions, interact with custom environments, and adapt through a plugin system. As an open-source project, it supports easy extension of core components, enabling rapid experimentation and deployment of automated workflows across various domains.