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OpenSquilla

Category: AI Agents

Token-efficient, open-source microkernel AI agent runtime with intelligent model routing, multi-tier memory, and secure sandboxing, developed by TokenRhythm Technologies (基元律动). OpenSquilla was founded in 2026. The company is led by Yunhe Wang (王云鹤). Based in Shanghai, China. Team size: 101-500. Latest round: Angel. Key investors include Top-tier Chinese VC firms, Major Chinese internet companies (specific names not publicly disclosed).

Founded
2026
Headquarters
Shanghai, China
Team size
101-500

Value proposition

Token-efficient AI agent that delivers higher intelligence density for the same budget — 60-80% token cost reduction through intelligent model routing, multi-tier memory, and on-device ML optimization.

Products and solutions

OpenSquilla AI Agent Runtime (open-source, Apache 2.0), SquillaRouter (on-device ML model router), Multi-Model Ensemble Routing (v0.5.0), MetaSkill self-organizing skill protocol, Desktop apps (macOS/Windows), CLI and Web UI, Multi-channel support (Slack, Discord, Telegram, WeCom, DingTalk

Unique value

Microkernel AI agent runtime that routes each task to the cheapest capable model via on-device ML classifier, achieving 60-80% token cost savings while matching or exceeding top-tier single-model performance through multi-model ensemble routing.

Target customer

Enterprises and developers seeking cost-efficient, self-hostable AI agent deployments for production workloads; Chinese enterprises with compliance requirements; developers building multi-channel AI assistants

Industries served

Enterprise automation, Knowledge management, Customer service, R&D assistance, Office productivity, Government/state-owned enterprise digital transformation

Technology advantage

On-device ML-based intelligent model routing (SquillaRouter) using ONNX Runtime + LightGBM; Multi-model ensemble routing (v0.5.0) that combines 4 Chinese foundation models to beat Anthropic Fable 5 at 1/3 cost; 4-tier cognitive memory architecture (working, episodic, semantic, raw); Syscall-level sandbox isolation; Apache 2.0 open-source; Supports 20+ LLM providers

How they differentiate

Unlike single-model agent frameworks (OpenClaw, AutoGPT, CrewAI), OpenSquilla uses a microkernel architecture with ML-driven routing that dynamically assigns tasks to the optimal model. Its v0.5.0 multi-model ensemble routing combines multiple Chinese foundation models to outperform top-tier proprietary models at a fraction of the cost. The company is founded by ex-Huawei Pangu model lead with deep expertise in model compression and efficient inference.

Main competitors

OpenClaw (open-source AI agent framework), AutoGPT, CrewAI, LangGraph

Key partnerships

Infinigence AI, City University of Hong Kong, SEE Fund, Peking University, Shanghai Jiaotong University, Beijing Jiaotong University (joint research on Claw-SWE-Bench benchmark)

Notable customers

State-owned enterprise clients (国资背景大厂客户) — specific names not publicly disclosed

Major milestones

2026-04-08: Company registered (Shanghai TokenRhythm Technology Co., Ltd.), 2026-05: v0.1.0 launched (smart routing), 2026-05: v0.2.0 (1-click migration), 2026-06: v0.3.0 (MetaSkill protocol), 2026-06: Angel round at $100M valuation, 2026-06: v0.4.0 (coding mode, desktop apps), 2026-07: v0.5.0 Preview (multi-model ensemble routing tops DRACO benchmark), 2026-07: Agentic Routing technical report published, 2026-07-05: v0.5.0 Preview 2 released, 2026-07-06: Usage guide published

Growth metrics

GitHub: 5,400+ stars, 383 forks, 834 commits, 10+ contributors (as of July 2026); X/Twitter: 6,667 followers

Market positioning

Emerging Chinese AI agent platform positioned at the intersection of cost-efficiency and enterprise readiness, competing with open-source agent frameworks while leveraging unique model routing IP from ex-Huawei Pangu team.

Geographic focus

China (primary); Global open-source community

Patents and IP

GhostNet neural architecture (co-developed at Huawei); "High-efficiency multiplier and adder neural network" — Huawei Top 10 Invention; Agentic Routing harness-native data flywheel methodology

About Yunhe Wang (王云鹤)

Ex-Huawei Noah's Ark Lab Director & Pangu Large Model Lead; PhD in Intelligent Science from Peking University (2018); BSc in Mathematics from Xidian University; Google Scholar citations 30,000+; Co-creator of GhostNet neural architecture; Huawei "Top 10 Invention" awardee

Official website: