Contextual content
Make lessons usable with your own customers: scenarios reflect industry, decision chains and business goals, rather than generic examples alone.
LONGARENA AI ENGINEERING & RESEARCH / Field Notes & Whitepapers
From sub-100ms zero-hallucination game engines and hierarchical diffusion scenario synthesis to industrial dual-worker autonomous maintenance. LongArena discloses our core architecture designs, patent implementations, and production governance in full.
AI ENGINEERING FOUNDATION
Capabilities built around tasks. Connections designed around organizational boundaries.
Make lessons usable with your own customers: scenarios reflect industry, decision chains and business goals, rather than generic examples alone.
Give sellers time back for customers: AI assists analysis, notes and follow-through, connecting judgment to action.
Reduce tool switching and context handoffs through product MCP endpoints and connectors. Each product still controls authorization and tool scope.
Keep collaboration traceable and consequential actions controlled through permissions, confirmation and audit boundaries. This public site grants no business write access.
Overcoming the high latency, vulnerability, and hallucination bottlenecks of LLMs in complex multi-role business simulations. Powered by proprietary patents to deliver sub-50ms, highly controllable gaming simulators.
In multi-turn business simulations, naive LLM generation suffers 3-10s latency and critical hallucinations. Based on invention patent CN202411967816.1, LongArena establishes an M-layer NPC attribute space and initiative link parameters, achieving sub-50ms dispatch and 100% controlled dialogue via state machines.
Authoring custom enterprise business scenarios traditionally takes 1-2 weeks. Based on invention patent CN202411967819.5, LongArena proposes bottom-up critical factor extraction and top-down hierarchical diffusion deduction, slashing the scenario synthesis cycle from 14 days down to 15 minutes.
In-depth engineering notes on unattended multi-agent continuous evolution, dual-worker pipeline governance, and five-dimension temporal data trace.
Single agents in long sessions suffer context bloat (>1.6M tokens) and reasoning latency. LongArena innovates the dual-worker pipeline (DSH probe + Codex craftsman) and Termite Protocol, slashing token costs by 89% and reasoning latency by 85%.
AI coding agents are stateless and ephemeral, yet software projects need continuity and memory. LongArena open-sourced its production multi-agent coordination kernel as the Termite Protocol: signals persist in SQLite, tasks are claimed atomically, observations accumulate as pheromone memory, and a computed .birth snapshot onboards a fresh session at ~2% context cost — validated across 6 production colonies and 900+ commits.
Objective, first-party evidence-based enterprise AI adoption research, eliminating subjective scores and open-sourcing evaluation data and methodology.