AIMEAT Protocol for AI Agents Unveiled

AIMEAT is a self-hosted network protocol designed to let humans, AI agents, and local LLMs share apps, knowledge, and functions. It is not tied to any specific model and supports a variety of models including Llama, Mistral, Qwen, Claude, and GPT.

Key technical features:

• Standard protocol: It communicates using Plain HTTP and JSON without requiring a separate SDK, and is designed so that models can understand the system structure on their own via llms.txt.
• Optimized for local models: All catalog endpoints are accessible without authentication, making it easy for local models to discover nodes.
• 8 building blocks provided: It provides Identity (GAII/GHII), Memory, Actions, Work Queue, Token Ledger, Boards, Federation, and Observability as default components, reducing the burden of building infrastructure.

Extension methods:

• Apps: Provided as single HTML files that run in the browser, and can be created and run via AI chat.
• Extensions: Server-side scripts that run in a WASM (WebAssembly) sandbox environment to extend functionality.