15350 listings found(showing 5201-5250)
TensorBlock Studio is a lightweight and extensible platform designed for multi-LLM interactions, enabling users to seamlessly engage with various language models. It is ideal for developers and researchers looking to build and experiment with AI-driven chatbots and assistants.
ToolMaker transforms GitHub repositories into tools for large language models, enabling enhanced functionality and integration. It is designed for developers and researchers in the fields of AI and medicine, particularly those focused on tool creation and usage.
This tool provides a multi-agent orchestrator with ten specialized agents designed for academic writing tasks such as review, research, drafting, and polishing. It is ideal for researchers and writers looking to enhance their academic writing process through AI assistance.
This repository provides a collection of agent skills designed for the Venice.ai API, facilitating various functionalities across different agent runtimes. It is ideal for developers looking to enhance their AI agents with specialized skills for diverse applications.
The Agentic Developer Environment provides a robust orchestration platform for integrating various AI tools like Claude Code, Codex, and Copilot. It is designed for developers looking to enhance their coding experience with advanced AI capabilities.
This tool integrates AI-powered stock analysis with n8n workflows and FlowiseAI to automate the generation of technical analysis reports. It is designed for traders looking to streamline their analysis and trading opportunities using Telegram and Airtable.
This curated collection provides a comprehensive guide to LLM knowledge engineering, connecting various concepts and methodologies. It is ideal for AI practitioners and researchers looking to deepen their understanding of knowledge systems in the context of large language models.
This repository provides various examples of using LangChain to interact with large language models from Azure OpenAI Service. It is ideal for developers and data analysts looking to leverage natural language processing capabilities in their applications.
This AI agent generates SEO-optimized blog posts and outputs them as formatted markdown documents. It is designed for content creators and marketers looking to streamline their writing process with AI assistance.
This repository provides practical examples and experiments for building agentic AI systems, focusing on LLMs, embeddings, and optimization techniques. It is ideal for developers and researchers looking to enhance their understanding of AI agents and related technologies.
This plugin allows users to export ChatGPT conversation content seamlessly into Markdown format for display in Typora, supporting code, formulas, and various formatting options. It is ideal for users who want to enhance their documentation and note-taking experience with ChatGPT outputs.
This repository serves as a comprehensive open-source mirror of Claude Code, providing users with the ability to run it from various sources including Claude subscription and OpenAI-compatible providers. It is ideal for developers and researchers looking to explore deep-dive architecture articles and gain insights into AI coding and architecture analysis.
ClawMax
ClawMax is a web orchestration layer designed for OpenClaw agents, enabling teams to manage workflows and templates effectively. It is ideal for developers looking to enhance their AI agent capabilities with streamlined orchestration tools.
The Cursor10x MCP is a persistent multi-dimensional memory system designed to enhance AI assistants by providing conversation context, project history, and code relationships across sessions. It is ideal for developers looking to build more context-aware AI applications that leverage memory effectively.
This repository provides an adapter for integrating LiveKit Agents with LangGraph, enabling voice interactions. It is ideal for developers looking to enhance their applications with real-time voice capabilities using LangGraph's framework.
Ludus FastMCP is a Model Context Protocol server designed to automate Ludus cyber range environments using AI assistants. It provides over 190 tools for managing various aspects of cyber range operations, making it ideal for security professionals and educators in the field.
MCP Azure DevOps is a Model Context Protocol server that allows AI assistants to interact with Azure DevOps services using a Python SDK. It is designed for developers looking to integrate AI capabilities into their Azure DevOps workflows.
Mermaid Trace is a specialized logging tool that automatically generates Mermaid JS sequence diagrams from your code execution. It's perfect for developers looking to visualize complex business logic, microservice interactions, or asynchronous flows.
This production-ready template provides a robust foundation for building AI applications using Pydantic AI and FastAPI. It is ideal for developers looking to implement comprehensive monitoring and CI/CD practices in their projects.
Quickstart Streaming Agents allows users to build, deploy, and orchestrate event-driven agents using Apache Flink and Apache Kafka. This tool is ideal for developers looking to integrate AI capabilities into their streaming data applications.
This repository provides a guide on building agents that can perform actions on websites using Amazon Nova Act and Model Context Protocol (MCP). It is ideal for developers looking to enhance their skills in creating web automation agents.
Swarms Examples provides a comprehensive collection of examples for utilizing the enterprise-grade Swarms framework. It is designed for developers and teams looking to implement multi-agent collaboration in their AI projects.
This repository provides Tableau tools designed for agentic use cases with Langchain and Langgraph. It enables agents to utilize updated data for better-informed decisions, enhancing analytics practices.
This guide provides a comprehensive walkthrough for building an Agentic AI system using Google's Agent Development Kit and the Model Context Protocol. It is ideal for developers and AI enthusiasts looking to deepen their understanding of agent-based systems.
Unreal API MCP provides instant and accurate lookups for Unreal Engine APIs, significantly reducing the need for costly source file reads. This tool is ideal for game developers looking to optimize their workflow and enhance their projects with efficient API access.
VersperClaw is an Agentic Research Workspace designed to streamline scientific workflows by integrating search, browser control, and coding capabilities. It is ideal for researchers and developers looking to enhance their productivity through autonomous tools.
Zero MCP Server is a zero-dependency implementation of the Model Context Protocol (MCP) designed for developers looking to build applications with minimal overhead. It is ideal for those seeking a lightweight and efficient framework for integrating AI models into their projects.
Zsh Ask
Zsh Ask is a lightweight Zsh plugin that serves as a frontend for the ChatGPT API, allowing users to interact with ChatGPT directly from their terminal. It is ideal for developers and command-line enthusiasts looking to enhance their workflow with AI capabilities.
This repository provides hands-on tutorials for building AI agents from scratch, covering LLM APIs, prompt engineering, tool calling, and the agent loop. It is ideal for developers and AI enthusiasts looking to deepen their understanding of AI agent frameworks through practical examples.
AskScribe allows users to upload PDFs and engage in interactive conversations to extract relevant information. It's ideal for researchers and students looking to clarify details or analyze content efficiently.
This repository offers a comprehensive collection of over 300 AI agents, frameworks, and tools for various applications including creative, voice, and enterprise solutions. It serves as a valuable resource for developers and researchers looking to explore and compare the latest advancements in AI technology.
This repository provides a comprehensive collection of best practices for building Managed Control Plane (MCP) servers and clients. It is ideal for developers and teams looking to enhance their MCP implementations with proven strategies and resources.
Chotu Robo enables integration of Arduino-based robotics with AI using the Model Context Protocol framework from Claude Anthropic. It is designed for developers and hobbyists looking to enhance their robotics projects with artificial intelligence capabilities.
Huf
Huf is a multi-model, multi-agent framework built on the Frappe Framework, designed to support over 500 models and numerous tools. It is ideal for developers looking to automate ERPNext and Frappe applications seamlessly.
This MCP server allows safe access to your iMessage database, enabling LLMs to query and analyze conversations effectively. It is designed for developers looking to integrate iMessage data into their applications with proper validation and handling.
Kstack
Kstack is a skill pack designed for Claude Code that enhances monitoring and troubleshooting of Kubernetes clusters. It is ideal for developers and DevOps professionals seeking to optimize their Kubernetes environments with advanced AI capabilities.
MCP Server provides real-time LSP diagnostics, type information, and code navigation for AI coding agents, enhancing the development experience. It is designed for developers using Claude Code and Visual Studio Code who seek efficient coding support without delays from traditional checks.
Model Context Protocol Kafka is a server designed to facilitate Kafka client operations, providing a robust framework for developers. It is ideal for teams looking to integrate Kafka into their applications seamlessly.
This Model Context Protocol (MCP) server facilitates the integration of AI models within Google Cloud services. It is designed for developers looking to implement LLM operations and manage model contexts effectively in cloud environments.
PEBKAC Chrome is a local LLM-driven web co-browser that leverages Smolagents and Zendriver for enhanced browsing capabilities. It is designed for developers and researchers looking to automate and control web interactions using AI.
PowerPoint MCP is an open-source server designed for automating PowerPoint tasks on Windows using the pywin32 library. It is ideal for developers looking to streamline their PowerPoint presentations through automation.
Roy
Roy is a lightweight, model-agnostic framework designed for building advanced multi-agent systems utilizing large language models. It is ideal for developers and researchers looking to create sophisticated AI-driven applications with ease.
Simple LLM Function is a streamlined framework designed for integrating large language model capabilities in a code-centric and context-centric manner. It is ideal for developers looking to build applications that leverage LLM functionalities efficiently.
The Unitree Go2 MCP Server allows users to control the Unitree Go2 robot through natural language commands interpreted by a large language model. This tool is ideal for developers and researchers working with robotics and AI integration.
This repository provides a comprehensive catalog of skills for various research workflows, including literature review and manuscript writing. It is designed for researchers and AI practitioners looking to enhance their research processes with agentic AI tools.
AniList MCP is a server designed for accessing comprehensive anime and manga data through an API. It is ideal for developers looking to integrate anime and manga information into their applications.
This repository offers a curated list of tools, skills, plugins, and MCP servers specifically for Claude Code. It is ideal for developers and enthusiasts looking to enhance their experience with Claude Code's capabilities.
Azure Trust Agents provides hands-on challenges for building intelligent multi-agent financial compliance workflows. This resource is ideal for developers and teams looking to enhance their skills in creating compliant financial solutions using the Microsoft Agent Framework.
Blatant Why is an AI-powered biologics design campaign agent that orchestrates multiple agents for advanced drug discovery. It is ideal for researchers and developers in computational biology and protein engineering looking to leverage cloud tools for antibody and binder design.
This repository contains resources for the LinkedIn Learning course on building AI agents and chatbots using LangGraph. It is ideal for learners looking to enhance their skills in AI development and chatbot creation.