AI agents directory for data scientists: Access solutions verified by top AI agency partners and automation specialists.

AI Agents for data scientists | AI Agent Store

MCP.so is a community-driven platform that collects and organizes third-party Model Context Protocol (MCP) Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications. The platform aims to facilitate the integration of AI models with external tools, data sources, and services by providing a comprehensive list of MCP Servers, enhancing the capabilities and functionalities of AI assistants.

MCP.so

mcp-so

A community-driven platform collecting and organizing third-party MCP Servers for AI applications.

Smithery is a comprehensive platform designed to help developers find and deploy agentic services that comply with the Model Context Protocol (MCP). It serves as a centralized hub for discovering MCP servers, offering hosting and distribution services, and providing standardized interfaces for tool integration and configurations. By simplifying the integration of language model agents with external tools and data sources, Smithery accelerates the development of agentic AI applications.

Smithery

smithery

A platform assisting developers in discovering and deploying agentic services adhering to the Model Context Protocol (MCP).

AI Refinery is an AI platform developed by Accenture, built on NVIDIA AI Enterprise, designed to help companies convert raw AI technologies into practical, scalable business solutions. It enables organizations to connect siloed AI technologies, build and adapt AI agent teams without coding, and manage AI components with a focus on cost, accuracy, security, and responsible use. The platform accelerates value realization by embedding prebuilt process knowledge, industry expertise, and AI agent capabilities, facilitating faster, more tangible business outcomes.

AI Refinery

ai-refinery

An AI platform by Accenture that transforms raw AI technologies into scalable business solutions.

Future AGI offers a comprehensive evaluation and optimization platform designed to help enterprises achieve 99% accuracy in AI applications across both software and hardware. By enabling developers to build agents and agentic workflows, the platform evaluates applications for accuracy, observes generative AI behaviors, and optimizes them through iterative self-correction. It supports integration with various AI models and tools, ensuring seamless adaptability and enhanced performance.

Future AGI

future-agi

A platform enhancing AI accuracy through comprehensive evaluation and optimization tools.

Giselle is an open-source platform that empowers teams to design and deploy advanced AI agents using an intuitive node-based interface. By integrating multiple large language models (LLMs) and data sources, Giselle facilitates the automation of complex tasks such as market research and code reviews. Its visual development environment simplifies the creation of sophisticated AI workflows, making AI accessible to all team members and enhancing productivity through seamless human-AI collaboration.

Giselle

giselle

An open-source platform enabling teams to create AI agents through a visual node-based interface for automating complex workflows.

Cohere is a technology company that provides AI solutions tailored for enterprise applications, focusing on natural language processing (NLP) through large language models. Their platform enables businesses to integrate advanced AI capabilities into various applications, including chatbots, search engines, and content generation tools. Cohere's offerings are designed to be cloud-agnostic, allowing deployment across different cloud services or on-premises environments. They have collaborated with major companies like Oracle and Salesforce to embed their AI technology into various products, enhancing functionalities such as customer support and data analysis.

Cohere

cohere

A platform offering enterprise-focused AI solutions, specializing in large language models for natural language processing tasks.

Gemma 3 is Google's latest open-source AI model, designed to run efficiently on a single GPU or TPU. It supports multimodal inputs, including text, images, and short videos, and offers advanced reasoning capabilities. With support for over 140 languages and a 128k-token context window, Gemma 3 is versatile for various applications. Its quantized versions enhance performance and reduce computational requirements, making it accessible for devices ranging from smartphones to workstations.

Gemma 3

gemma-3

An open-source AI model optimized for single-GPU performance, supporting multimodal inputs and over 140 languages.

DemoGPT is an open-source initiative that automates the creation of Large Language Model (LLM)-based applications. Leveraging GPT, it translates user instructions into LangChain code, which is then rendered as interactive Streamlit applications. The process involves planning, task creation, code snippet generation, and final code assembly, ensuring a seamless transition from concept to functional application. DemoGPT's flexibility allows it to utilize any LLM model meeting specific performance criteria, keeping it at the forefront of AI application development.

DemoGPT

demogpt

An open-source tool that transforms user instructions into interactive Streamlit applications using GPT.

BondAI is an open-source tool designed for developing sophisticated AI agent systems. It handles complex implementation aspects such as memory and context management, error handling, and semantic search capabilities. Supporting advanced AI architectures like ReAct Agents and Conversational Agents, BondAI enables both individual interactions and multi-agent collaborations. The framework integrates seamlessly with services like OpenAI models, Microsoft Azure, Google Search, and LangChain, providing a versatile environment for AI development.

BondAI

bondai

Open-source framework for developing AI agent systems with advanced memory management and integrations.

BabyElfAGI is an advanced modification of the BabyAGI series, introducing a Skills class that allows for the creation of new skills, enhancing the agent's capabilities. It features a 'dynamic task list' example with vector search and includes a beta reflection agent, enabling the AI to read, write, and review its own code. With approximately 895 lines of code, BabyElfAGI represents a significant evolution in autonomous AI agent development.

BabyElfAGI

babyelfagi

An advanced AI agent framework introducing a Skills class for dynamic skill creation and task management.

BabyDeerAGI is a lightweight modification of BabyCatAGI, itself an evolution of BabyBeeAGI and the original BabyAGI framework. With approximately 350 lines of code, BabyDeerAGI introduces parallel task execution, enhancing the efficiency and speed of autonomous task management. It operates using OpenAI's GPT-3.5-turbo model, eliminating the need for GPT-4, and incorporates features such as user input tools, query rewriting in web search, and result saving functionalities. This streamlined approach facilitates faster and more efficient task automation.

BabyDeerAGI

babydeeragi

A streamlined AI agent framework enabling parallel task execution for enhanced efficiency.

BabyCatAGI is a lightweight modification of BabyBeeAGI, itself an evolution of the original BabyAGI framework. With approximately 300 lines of code, BabyCatAGI introduces a task creation agent that operates once at the beginning, streamlining task execution. It features an intelligent agent tool combining web search, scraping, chunking, and extraction to enhance information retrieval and processing, resulting in faster and more stable task management.

BabyCatAGI

babycatagi

A streamlined AI agent framework enhancing task automation and execution efficiency.