Protocol

How the existing v5.0 judgment layer handles prompt injection, self-replication, and privilege inheritance without new rules. This document is not normative. It adds nothing to the canon: no declaration, no dimension, no constant, no module. It reads published attack reports through what iLang v5.0 already specifies. Why text becomes dangerous Before agents, text on the internet was content. A webpage, an email, a code comment. Humans read it, humans decided what to do. ...

Repository github.com/ilang-ai/iml-protocol · concept DOI 10.5281/zenodo.22823285 · MIT What it is IML (I-Lang Machine Layer) renders the declaration layer of iLang v4.x as fixed-width codes: 49 codes covering the declaration set, each derived from the canon rather than invented beside it, with a digest so a receiver can check which table it is reading. It is meant for the leg between two machines, where a human reader is not the audience and a stable width is worth more than readability. ...

What is iLang? iLang is the native communication protocol for AI. Not a prompt template. Not a compression tool. A structured language built from symbols already inside every LLM’s training data: brackets, pipes, arrows, key-value pairs. Two syntaxes, one protocol: Operations [] — what AI does: [READ:@SRC]=>[FMT|fmt=json]=>[OUT] Declarations :: — what AI is: ::GENE{verify_first|conf:confirmed} AI-to-AI structured communication. AI internal planning. Human-to-AI in AI’s own language. Design Principles Zero ambiguity — Structured instructions eliminate guessing. AI gets it right the first time. Cross-model compatibility — Tested across ChatGPT, Claude, Gemini, DeepSeek, Kimi, Qwen and GLM. No vendor lock-in. AI-to-AI handshake — Two agents learn iLang, they handshake, they collaborate. No middleware needed. Behavioral DNA — Declarations define traits and anti-patterns that persist across sessions and models. Protocol at a Glance Component Count Purpose Verbs 88 Core operations (READ, WRIT, FMT, FILT, DRFT, FIX, etc.) Greek Aliases 13 Single-token shortcuts (phi=FILT, Sigma=MERGE, Omega=OUT) Modifiers 29 core plus a 20-key media profile Output control (fmt=, lng=, ton=, sty=, whr=, path=) Entities 25 (17 addressable, 8 role) Targets (@SRC, @DST, @PREV, @LOCAL, @GH, @NULL) Ecosystem AutoCode — You say it. AutoCode ships it. 48 skills. Code to deployment in one session. GitHub Imprint — Your AI’s DNA: one skill for memory, compression, onboarding, code review, debugging, planning, progress tracking, testing, git workflow, and SEO. GitHub AI See — Give AI eyes. i.ilang.ai/{url} reads any webpage. Resources Protocol Specification: v5.0 released as 5.0.0 on 2026-09-29; v4.2 is the latest release of the v4 line Dictionary: 88 verbs, 29 core modifiers plus a 20-key media profile, 25 entities Official Website Specification HuggingFace Dataset Origin iLang was designed by Max (@SUN) and co-authored with Claude Opus (@BRO), with review by GPT (@GPT) and Gemini (@GEMINI). ...