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: https://opensquilla.ai