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Accelerates software development by providing an AI coding assistant that understands codebase context to help write, fix, and explain code.
Enables building LLM-powered applications through a multi-agent programming paradigm.
Provides an open-source implementation of OpenAI's ChatGPT Code interpreter, enabling users to generate and execute code through natural language prompts.
Provides a streamlined Python interface for easily interacting with AI chat models like ChatGPT and GPT-4, emphasizing efficiency and minimal code complexity.
Exposes any MCP tool as an OpenAPI-compatible HTTP server.
Integrates Confluence and Jira with Model Context Protocol (MCP) for enhanced workflow automation and data accessibility.
Automates complex engineering tasks by integrating with developer tools and leveraging AI for planning, execution, and iteration.
Defines, prompts, and tests MCP-enabled agents and workflows.
Provides access to large language and vision-language models based on linear attention for various natural language and multimodal tasks.
Enables seamless integration between AI agents and the Windows operating system.
Provides containerized development environments, enabling multiple coding agents to work safely and independently with diverse tech stacks.
Provides an open-source, cloud-native LLMOps platform for designing, deploying, observing, and managing AI applications.
Provides an open-source memory layer specifically designed for AI coding agents.
Manages Cloudflare resources using natural language commands via the Model Context Protocol (MCP).
Generates visual charts from data using the Model Context Protocol and AntV.
Provides a quick start guide for programming with the Model Context Protocol (MCP) in Chinese.
Transforms AI agents into specialized experts through a revolutionary conversational context engineering platform.
Maintains a curated list of Model Context Protocol (MCP) servers.
Programmatically assembles prompts for LLMs using JavaScript to orchestrate LLMs, tools, and data in code.
Documents potential implementations for Nostr-compatible relay and client software.
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