iotexproject

Quicksilver

Name: Quicksilver
Author: iotexproject

DevOps community

SOURCE https://github.com/iotexproject/quicksilver

Description

an open-source framework that bridges the capabilities of Large Language Models (LLMs) with Decentralized Physical Infrastructure Networks (DePINs) to create advanced AI agents.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Quicksilver: Sentient AI Framework

[![TypeScript](https://img.shields.io/badge/typescript-%23007ACC.svg?style=flat&logo=typescript&logoColor=white)](https://www.typescriptlang.org/) [![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE) [![GitHub last commit](https://img.shields.io/github/last-commit/raullenchai/quicksilver)](https://github.com/raullenchai/quicksilver/commits/main) [![GitHub stars](https://img.shields.io/github/stars/raullenchai/quicksilver?style=social)](https://github.com/raullenchai/quicksilver/stargazers) [![GitHub forks](https://img.shields.io/github/forks/raullenchai/quicksilver?style=social)](https://github.com/raullenchai/quicksilver/network/members)

**Quicksilver** is an open-source framework that bridges the capabilities of **Large Language Models (LLMs)** with **Decentralized Physical Infrastructure Networks (DePINs)** to create **advanced AI agents**.

By leveraging DePINs as the "_sensorial component_", Quicksilver enables AI agents to interact with the physical world, gather real-time data, and respond contextually.

Read more The QuickSilver framework empowers developers to build intelligent agents that:

Sense and Understand: Use DePINs to collect and process data from decentralized physical infrastructure, acting as the sensory layer for AI agents.
Act and Respond: Combine LLMs' advanced reasoning capabilities with data from DePINs to perform context-aware interactions.
Integrate Seamlessly: Utilize the framework's modularity to connect with multiple DePIN projects, including weather, energy, and location networks, enabling agents to access diverse sources of decentralized data.
Orchestrate Workflows: Automate multi-step processes while maintaining state and context.