liacllisted

# LIACL -- Inter-Agent Compression Language **Version:** 1.1 **Origin:** PureBrain.ai **Status:** Validated -- 53-68% token savings, 100% information fidelity **Portable:** Yes -- any multi-agent system can adopt this skill **Changelog:** v1.1 adds memory snippet compression + progressive disclosure integration (see Section 8) --- ## What This Is LIACL (pronounced "lye-uh-kel") is a structured message protocol for agent-to-agent communication that reduces token consumption by 55-72% while preserving 100% information fidelity. Instead of verbose natural language dispatches between agents, LIACL uses shortcodes, reference pointers, and a header-values pattern inspired by TOON format, Google A2A Protocol, and AgentPrune (ICLR 2025). **Why it matters:** In a multi-agent system, inter-agent communication is the single largest drain on context budget. A typical task dispatch consumes 800-2,500 tokens in natural language. LIACL reduces that to 250-700 tokens with zero information loss. Over a session with 40+ agent messages, that's 6,800-13,600 tokens saved -- enough for 1-2 additional full agent interactions before context compaction. --- ## Quick-Reference Card (~120 tokens) **Paste this into any agent prompt to enable LIACL:** ``` ## LIACL v1.0 Quick Reference You understand the Inter-Agent Compression Language (LIACL). Messages use: @MSG {TYPE} {PRIORITY} {TIMESTAMP} / FROM:X TO:Y / body / @END Types: TASK (dispatch), STAT (status), RSLT (result), ESCL (error) Priori