Nano Banana Pro is an advanced AI image generation and editing platform powered by Google's Gemini 3 Pro Image model. It focuses on overcoming typical AI limitations by providing 95% character consistency across edits, rapid 5-8 second image creation, and 94% text accuracy to produce print-ready, high-resolution 4K images. It serves professionals like designers, marketers, and content creators who require fast, consistent, and high-quality visuals for campaigns or social media. Its technology includes native 2K generation with one-click upscaling and natural language prompt support for ease of use without complex syntax.

AskAtlasAI-Agent empowers developers to deploy AI agents that answer natural language queries against any document set stored in MongoDB Atlas. It orchestrates LLM calls for embedding, search, and response generation, handles conversational context, and offers configurable prompt chains. Built on JavaScript/TypeScript, it requires minimal setup: connect your Atlas cluster, supply OpenAI credentials, ingest or reference your documents, and start querying via a simple API. It also supports extension with custom ranking functions, memory backends, and multi-model orchestration.

CRM Data Agent leverages OpenAI GPT via LangChain to interpret user queries in natural language and execute data retrieval tasks across multiple CRM systems. It supports connectors to Salesforce using REST APIs, HubSpot via OAuth, and Zoho CRM, consolidating disparate data into a uniform vector store. Users can ask the agent to list top deals, forecast revenue, or identify inactive contacts. Built-in workflows automate report generation sending summaries over Slack or email. Its plugin architecture allows developers to integrate custom data sources, configure memory for context retention, and tailor prompt templates. By abstracting API calls and data processing, CRM Data Agent accelerates analysis and workflow automation, enabling teams to make informed decisions faster.

DataAgent leverages advanced AI agents built on top of LLMs to explore datasets, generate insights, and assemble machine learning pipelines automatically. Users point DataAgent at a CSV, SQL table, or Pandas DataFrame and pose questions in natural language. The agent interprets queries, executes analysis code, visualizes results, and even writes modular Python scripts for ETL and modeling tasks. It streamlines the entire data science workflow by reducing boilerplate coding and accelerating experimentation.

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.

DevChat revolutionizes developer collaboration by bringing an AI chat interface to your existing tools. It constantly indexes your GitHub repositories, Jira tickets, Confluence pages, and other documentation to create a contextual knowledge base. Developers can ask natural language questions about the codebase, receive instant code examples, triage incoming issues, and generate pull request summaries. The AI assistant integrates seamlessly with Slack and Microsoft Teams, delivering relevant insights, automating repetitive tasks, and accelerating debugging and onboarding processes.

Klavis.ai is an enterprise-grade AI observability agent that unifies logs, metrics, traces, and events into a single AI-driven layer. It supports connectors for Prometheus, Elastic, Grafana, AWS CloudWatch and more. Teams can ask natural-language questions about system health, receive instant anomaly alerts, and get guided remediation steps. Its AI models correlate data across services to pinpoint failures, reduce alert noise, and proactively surface performance issues before they impact users.

Amazon Q CLI is a developer tool that extends the AWS CLI with generative AI capabilities. It enables users to leverage Amazon Q’s large language models to query AWS services, provision resources, and generate code snippets using natural language. The CLI supports session management, multi-profile authentication, and customizable agent configurations. By integrating AI-driven suggestions and automated workflows into shell scripts and CI/CD processes, teams can reduce manual steps, troubleshoot issues faster, and maintain consistent cloud operations at scale.

Chat-With-Data is a Python-based tool and web interface built on Streamlit, LangChain, and OpenAI’s GPT API. It automatically parses tabular datasets or database schemas and creates an AI agent that understands natural language queries about your data. Under the hood, it chunks large tables, builds an embedding index for semantic search, and formulates dynamic prompts to generate context-aware responses. Users ask questions like “What are the top 5 sales regions this quarter?” or “Show me a bar chart of revenue by category,” and receive answers or interactive plots without writing SQL or pandas code. The platform runs locally or on a server, ensuring data privacy while accelerating exploratory analysis for both technical and nontechnical users.

Bourse is an AI agent designed for investors and analysts to streamline stock screening. It ingests financial statements and market data for thousands of publicly traded US companies, allowing users to ask questions like “Show me tech stocks with P/E under 20 and revenue growth above 15%.” The agent processes natural language queries, computes metrics, filters results, and provides concise, exportable outputs. With support for sector grouping, custom metrics, and trend analysis, Bourse turns complex spreadsheets into simple conversational queries.

CryptoGPT is an AI-driven crypto trading agent that leverages GPT language models and real-time market data feeds to analyze blockchain asset trends. It provides users with natural language query support, allowing them to ask questions about coin performance, generate on-demand trading signals, and receive portfolio rebalancing recommendations. The agent continuously monitors price movements, sentiment indicators, and network fundamentals to deliver timely alerts on potential market opportunities and risks. It supports multi-exchange integration for unified portfolio tracking and offers visual dashboards for performance insights. By automating routine analysis and providing data-backed suggestions, CryptoGPT helps users save time, reduce emotional trading biases, and enhance overall portfolio returns.

Researcher AI Agent Front-End is an open-source React application providing a user interface for an AI-driven research assistant. It supports natural language queries for literature searches, connects to academic databases such as Semantic Scholar or arXiv via API, and retrieves metadata, abstracts, and full-text content where available. The front-end displays search results in an organized dashboard, allows filtering by year or relevance, and presents AI-generated summaries highlighting key findings. Users can export references in popular bibliography formats like APA, MLA, and BibTeX. With modular components and responsive design, the platform simplifies literature review tasks and enhances research productivity.

TalktoData is an advanced AI agent designed to facilitate data analysis through conversational interactions. Users can input queries in natural language, and the AI will provide visualizations and insights from various datasets. It removes the complexities typically associated with data querying, making it accessible for non-technical users and enabling businesses to leverage their data for strategic insights. TalktoData's intuitive interface streamlines the data exploration process, promoting efficiency and clarity in decision-making.

Data Analysis LLM Agent is a self-hosted Python package that integrates with OpenAI and other LLM APIs to automate end-to-end data exploration workflows. Upon providing a dataset (CSV, JSON, Excel, or database connection), the agent generates code for data cleaning, feature engineering, exploratory visualization (histograms, scatter plots, correlation matrices), and statistical summaries. It interprets natural language queries to dynamically run analyses, update visuals, and produce narrative reports. Users benefit from reproducible Python scripts alongside conversational interaction, enabling both programmers and non-programmers to derive insights efficiently and compliantly.

SayData is an innovative Chrome extension integrated with Metabase that leverages the power of ChatGPT to facilitate natural language interactions with your datasets. It enables users to query data in a conversational tone, making data analysis accessible even for those without advanced technical skills. Through this integration, SayData helps users to discover insights effortlessly, visualize data effectively, and make informed decisions faster. Whether you're a business analyst or a data enthusiast, SayData transforms data exploration into an engaging and productive activity.

Qquest is a generative AI platform designed to empower users by converting data into actionable insights. By leveraging AI-powered natural language querying, Qquest allows users to interact with their data effortlessly, without any coding skills. This innovative approach helps businesses to make informed decisions quickly, facilitating growth and innovation.

AI Lens for Power BI empowers users to interact with their data via natural language queries, providing seamless, human-like conversations with their dashboards. The tool integrates advanced AI and natural language processing technologies, transforming how users explore and understand their data. By embedding AI directly into Power BI reports, AI Lens simplifies complex analytics, making data insights more accessible and actionable for all users.

Parse.dev is an AI-powered platform designed to revolutionize how you interact with your data. It eliminates the need for SQL knowledge by letting users query their databases using plain English. This tool connects to multiple data sources, allowing seamless data access and analysis. Users can create live dashboards and integrate data from popular databases and public APIs, making data visualization and analysis both simple and effective.

SQLPilot is a cutting-edge SQL editor that leverages artificial intelligence to help users create SQL queries efficiently. By allowing you to input queries in natural language, SQLPilot translates them into optimized SQL code. It connects seamlessly to various database sources, ensuring that you can get accurate results without needing to memorize complex syntax. Perfect for developers, data analysts, and anyone requiring SQL capabilities, SQLPilot aims to democratize data access and enhance existing workflows with faster query generation.

VerbaGPT is an AI-powered tool designed to simplify data analytics using large language models (LLMs). It allows users to interact with their SQL or CSV data directly from their browsers. The application runs locally, ensuring that the data never leaves your control, thus preserving privacy. VerbaGPT’s intuitive interface makes it simple for users of all technical levels to ask questions of their data using natural language, facilitating quick insights and data-driven decision-making.