{"repo":"deeppowers/deeppowers","free":true,"listed":false,"github":"https://github.com/deeppowers/deeppowers","clone":"git clone https://github.com/deeppowers/deeppowers.git","description":"DEEPPOWERS is a Fully Homomorphic Encryption (FHE) framework built for MCP (Model Context Protocol), aiming to provide end-to-end privacy protection and high-efficiency computation for the upstream and downstream ecosystem of the MCP protocol.","language":"C++","stars":252,"topics":["accelerator","ai","llm-inference","llms"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"DeepPowers DEEPPOWERS is a Fully Homomorphic Encryption (FHE) collaboration framework built for MCP (Model Context Protocol), aiming to provide end-to-end privacy protection and highly efficient computation for the upstream and downstream ecosystems of the MCP protocol. By deeply integrating the FHE framework with the MCP protocol, we are dedicated to creating a secure, efficient, and scalable computing framework for MCP. This ensures that data remains encrypted throughout transmission, storage, and computation, while also supporting complex computing logic, eliminating unnecessary data transmission and computation, and thereby rapidly improving MCP's operational efficiency. By removing delays in MCP interactions, it aims to provide robust momentum for the Model Context Protocol (MCP) ecosystem. DEEPPOWERS unleashes a higher level of efficiency, collaboration, and performance for MCP workflows. Support for various MCP servers and leading large language models (LLMs) such as DeepSeek, GPT, Gemini, and Claude ensures unparalleled versatility and enhanced collaborative efficiency. Overview Fully Homomorphic Encryption (FHE) allows computations (such as addition, multiplication, etc.) to be performed directly on encrypted data without decryption. The computation results remain encrypted, and only authorized users can decrypt them. FHE resolves the conflict between data privacy and computational efficiency and is suitable for scenarios such as cloud computing, medical data analysi","default_branch":null,"files":null,"tree":[],"storefront":"/r/deeppowers","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/deeppowers/deeppowers/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}