Hi, I'm Adong / 阿东玩 AI
Building products that are fun and useful.
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BaiDu Senior R&D → Lenovo Agent Architect → ?
AI master's graduate from the University of Chinese Academy of Sciences · Institute of Automation; former BaiDu Senior R&D Engineer, now Lenovo Agent Architect / AI Native Innovation Lead.
9.5k+ GitHub stars on AgentGuide; first-author research targeting EMNLP / AAAI; led an 8-person Agent engineering team; and drove Agent capabilities into Lenovo's desktop product line. My technical work spans Agentic RL, Harness / Runtime, Memory & Context, Skills self-evolution, Model Routing and Agent Evaluation.
Built a 1M+ technical audience across Douyin, WeChat and Xiaohongshu, delivered Agent talks to 300+ Lenovo colleagues, and received the Lenovo China AI Pioneer Award and an Outstanding performance rating.
Currently holding Agent Algorithm Expert opportunities from all three BAT companies.
中文介绍 / Chinese bio
中国科学院大学（中科院自动化所）人工智能硕士，曾任 BaiDu 高级研发工程师，现任 Lenovo Agent 架构师 / AI Native 创新组负责人。
发起并主导 AgentGuide，获得 9.5k+ GitHub Stars；开展 EMNLP / AAAI 一作研究，带领 8 人 Agent 研发团队，推动 Agent 能力落地联想桌面产品线。研究与实践覆盖 Agentic RL、Harness / Runtime、Memory 与 Context Engineering、Skills 自进化、Model Routing 和 Agent Eval。
持续在抖音、微信公众号和小红书分享技术实践，技术受众达 100 万+；面向 300+ 位联想同事开展 Agent 技术分享，获得 联想中国 AI 先锋奖与 Outstanding 绩效。
目前已获得 BAT 三家的 Agent 算法技术专家机会。
Selected work · Research & engineering · Community & impact · Homepage
- Agent Harness / Runtime — stateful loops, tool orchestration, interruption and resume, sandboxing, permissions and verifiers for reliable long-horizon execution.
- Memory / Context Engineering — layered episodic and semantic memory, retrieval and compression, context budgets, trace-grounded skill reuse and isolation.
- Agentic RL — on-policy training, rollout infrastructure, reward design, data curriculum and failure-driven optimization for tool-using agents.
- Routing & Evaluation — step-level model routing under quality / cost / latency constraints, scenario datasets, ablations and reproducible evaluation protocols.
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9.5k+ GitHub stars An end-to-end guide from Agent algorithms to runnable systems: Runtime, Agentic RL, RAG, data synthesis, tool use and evaluation. |
327 GitHub stars An implementation-first desktop Agent Harness covering Agent Loop, Tool, Memory, Context, Sidecar and sandbox auditing. |
- hybrid-router-oss — hybrid edge / cloud model routing with quality, cost, latency and privacy as first-class signals.
- agent-ready-template — a Harness-first template for coding agents to understand a repository, follow boundaries and take over development.
1M+ technical audience across multiple platforms. I share practical work on Agents, LLM systems, training, inference and evaluation through “Adong Plays with AI”.
An open community for LLMs, RAG, Agents, training, inference and evaluation — with learning paths, project notes, paper discussions and engineering exchange.
Join the community / read the guide
Delivered 4 Agent engineering talks to 300+ Lenovo colleagues and joined multiple AI hackathons as a speaker.
Outstanding · Lenovo China AI Pioneer Award · Annual Professional Contribution Project Award
More awards & activity records
- 2025 OpenAtom Developer Conference — Distinguished Contribution Award & invited speaker
- OpenAtom Open Source Community — Contributor of the Year
- CAS MCP Cloud Service Competition — Third Prize
- Algorithm Design & Programming Challenge — Silver Medal
Personal homepage · Open-source discussions · Contact / collaboration