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An AI agent framework built with Rust focusing on performance and security. Supports MCP protocol integration, composable toolchains, and distributed agent execution.
An AI agent framework built with Rust focusing on performance and security. Supports MCP protocol integration, composable toolchains, and distributed agent execution.
A comprehensive tutorial repository for learning AI agent development, covering OpenAI Agents SDK, LangGraph, MCP protocol, and more with hands-on projects.
Agent framework built on Qwen LLM, featuring function calling, MCP tool integration, code interpreter, RAG, and browser extension support.
A functional, composable, TypeScript-first AI Agent framework for real-world applications with declarative agent definition, tool composition, and streaming workflows.
A high-performance MCP server implementation built in Elixir by CloudWalk, focused on AI agent tool calling in financial scenarios with reliable messaging.