InfoMesh

About

InfoMesh solves the critical problem faced by independent AI developers, open-source projects, and researchers: the lack of free, real-time web access for LLMs without relying on expensive, proprietary APIs. It establishes a fully decentralized, peer-to-peer network where every participant acts as both a crawler and a search node. This innovative approach eliminates central servers, per-query costs, and vendor lock-in, while ensuring search queries remain private to the user's node. By contributing to the network's crawling efforts, users earn search credits, making web access for AI assistants forever free via the Model Context Protocol (MCP).

Key Features

• Enterprise-grade security with cryptographic identities, signed content attestation, and Merkle tree integrity.
• Built-in tools to crawl and index custom URLs for personalized search.
• Offers offline search capabilities using a local index.
• Fully decentralized P2P network with no central server.
• No API keys, billing, or usage caps; operates on a free, credit-based system.
• 0 GitHub stars

Use Cases

• Integrating real-time web search capabilities into AI assistants (e.g., Claude, VS Code Copilot) via MCP.
• Building custom applications that require web scraping and indexing of specific URLs without external dependencies.
• Enabling cost-free, privacy-preserving web search for independent AI projects and local LLMs.