AI agents directory for machine learning engineers: Connect with solutions by renowned AI agencies and automation experts.

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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).

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.

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.

LangMem is a software development kit (SDK) designed to enhance AI agents by integrating long-term memory capabilities. It allows agents to extract important information from interactions, optimize behavior through prompt refinement, and maintain knowledge over time. Compatible with various storage systems and natively integrating with LangGraph's storage layer, LangMem enables continuous improvement, personalized responses, and consistent behavior across sessions.

LangMem

langmem

An SDK enabling AI agents to learn and adapt through long-term memory integration.

The Mosaic AI Agent Framework, developed by Databricks, is a comprehensive suite of tools designed to assist developers in creating, deploying, and assessing production-quality AI agents and Retrieval Augmented Generation (RAG) applications. It integrates seamlessly with Databricks' Data Intelligence Platform, offering features such as human feedback integration, comprehensive evaluation metrics, and end-to-end development workflows. This framework addresses common challenges in generative AI development, enabling rapid iteration and deployment of high-quality applications.

Mosaic AI Agent Framework

mosaic-ai-agent-framework

A suite of tools by Databricks for building, deploying, and evaluating high-quality AI agents and RAG applications.

VisionAgent by LandingAI is a tool designed to expedite the development of vision-enabled applications. By processing user prompts, it selects optimal models for specific vision tasks and generates corresponding Visual AI code. This streamlines the creation of applications involving object detection, segmentation, tracking, and activity recognition. VisionAgent automates multiple steps, including planning, testing, coding, and deployment, allowing developers to build and deploy vision solutions efficiently.

VisionAgent

visionagent

A tool that generates Visual AI code from prompts, enabling rapid development of vision-enabled applications.

TensorFlow is an end-to-end open-source platform for machine learning developed by the Google Brain Team. It offers a comprehensive ecosystem of tools, libraries, and community resources that enable researchers and developers to build and deploy machine learning-powered applications efficiently. TensorFlow supports various programming languages, including Python, C++, and JavaScript, and is compatible with multiple platforms such as Linux, macOS, Windows, Android, and JavaScript. Since its initial release in 2015, TensorFlow has become one of the most widely adopted deep learning frameworks, facilitating tasks ranging from research prototyping to production deployment.

TensorFlow

tensorflow

An open-source machine learning platform developed by Google for building and deploying ML models.

Log10 is an AI accuracy platform designed to improve the reliability and performance of Large Language Models (LLMs). It offers tools for advanced logging, benchmarking, and AI-powered optimizations, enabling developers to scale expert reviews and detect errors in real-time. By integrating seamlessly with various LLMs and providing robust evaluation frameworks, Log10 helps organizations deploy AI solutions with confidence, particularly in high-stakes, regulated industries.

Log10

log10

A platform enhancing LLM accuracy by scaling expert review and automating real-time error detection.

Snorkel Flow is an AI data development platform designed to expedite enterprise AI initiatives by enabling programmatic curation of training data. It allows data scientists and subject matter experts to collaboratively capture domain knowledge, apply it to label entire datasets, and iteratively develop models with built-in error analysis and evaluation tools. By integrating seamlessly with existing AI/ML stacks, Snorkel Flow supports fine-tuning of large language models (LLMs) for specialized tasks, optimizing retrieval-augmented generation (RAG) pipelines, and enhancing model accuracy across various data modalities.

Snorkel Flow

snorkel-flow

An AI data development platform accelerating enterprise AI by programmatically curating training data.

Letta AI is an open-source platform designed to enable developers to create, deploy, and manage AI agents endowed with persistent memory and advanced reasoning capabilities. Originating from the Sky Computing Lab at UC Berkeley, Letta provides a comprehensive framework that includes the Agent Development Environment (ADE) for visualizing and iterating on agent designs, as well as robust APIs and SDKs for seamless integration. By incorporating memory management techniques from MemGPT, Letta ensures that agents can maintain context over extended interactions, facilitating more coherent and contextually aware AI applications.

Letta AI

letta-ai

An open-source platform for building stateful AI agents with long-term memory and advanced reasoning.