HKUDS/Vibe-Trading
Vibe-Trading is an AI-powered personal trading agent designed to assist with algorithmic trading, backtesting, and quantitative finance, leveraging large language models and multi-agent systems.
Awesome MCP › Finance & Trading
Axarb/NFTIAI
NFTI AI is a Web3-native protocol designed to tokenize, manage, and deploy AI agents and virtual intellectual properties (IPs) as NFTs, integrating real-world assets (RWA) to enable digital sovereignty across multiple blockchains. It serves as a standard library and execution framework optimized for the Model Context Protocol (MCP) and RWA infrastructure, facilitating the creation of composable, sovereign, and utility-backed AI-powered digital entities. The project is TypeScript-native and compatible with major AI SDKs, making it easy to build AI agents that can interact seamlessly with digital and real-world assets. NFTI provides clients such as IdentityClient and RWARegistryClient that function as TypeScript-first agent modules and AI tools callable by large language models (LLMs) through MCP-compatible adapters. This allows AI agents to transact, query, and coordinate assets across agent boundaries and context layers. The protocol supports programmable RWA infrastructure and a composable agent architecture, emphasizing digital sovereignty and agent identity. The project includes a CLI tool for converting OpenAPI specifications into agent tools and uses robust HTTP behavior libraries like fetch and ky. NFTI tools support integration with all major LLM toolchain SDKs, including Vercel AI SDK, LangChain, LlamaIndex, Firebase Genkit, OpenAI SDK, and MCP Gateway. The protocol also offers a suite of composable clients and functions for managing digital identity, RWA registries, on-chain and off-chain asset interactions, MCP gateways, and virtual IP management. NFTI is fully open source, modular, and designed to bridge intelligent agents, MCP protocols, and real-world assets to create a new era of digital sovereignty. Its comprehensive documentation is available at nfti.ai, and it includes integrations with various external services and APIs to enhance its capabilities.
https://github.com/Axarb/NFTIAI
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