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👋 Hi! I'm Zijian Ni, a 3rd-year (Final-year) Computer Science with Artificial Intelligence student at University of Leeds (UK 3-year BSc, graduating Summer 2026). 🎯 Career Vision: Becoming an AI World Architect — designing intelligent systems where humans and AI agents truly co-create. 🚀 Current Focus: Building the Aurora Universe (极光宇宙) — a multi-device, multi-persona AI mesh spanning desktop, laptop, Mac, cloud servers, and Minecraft servers, all powered by a personal Agent OS running 24/7. 🎓 Dissertation (Shipped): BattleSheep AI — an MCTS/UCT agent for hexagonal strategy games, achieving 87.5% win-rate against greedy opponents (Supervisor: Prof. Steven Noble). 💼 Co-Founder: Philiapedia (云庠教育) — an EdTech platform co-built with childhood friend Liang Haoran (Edinburgh / Berkeley exchange, theoretical physics). 💡 Philosophy: AI should be local-first, ethical-by-default, multi-modal, and seamlessly woven into the way people live, learn, and create. |
👋 你好！我是 倪子健，利兹大学计算机科学与人工智能专业大三在读生（英国三年制本科，2026 年夏季毕业）。 🎯 职业愿景： 成为 AI 世界架构师 —— 设计让人类与 AI Agent 真正协同共创的智能系统。 🚀 当前重点： 构建 极光宇宙（Aurora Universe） —— 横跨桌面、笔记本、Mac、云服务器、Minecraft 服务器的多设备、多人格 AI 网络，由 24/7 长跑的个人 Agent OS 驱动。 🎓 毕业设计（已交付）： BattleSheep AI —— 基于 MCTS/UCT 的六角棋盘策略博弈智能体，对贪心对手胜率达 87.5%（导师：Steven Noble 教授）。 💼 合伙创业： Philiapedia（云庠教育） —— 与发小 梁皓然（爱丁堡 / 伯克利交换，理论物理）共同打造的教育科技平台。 💡 理念： AI 应当 本地优先、伦理为本、多模态、原生融入 人类的生活、学习与创造。 |
🤖 Aurora Xiaoluo | 极光小落The Brain — Desktop AI Agent 🧠 The flagship persona running on a i9-13900KF + RTX 4080 + 128 GB DDR5 workstation:
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The Strategist — Laptop AI Agent ⚡ The INTJ rational mind on an Ultra 9 275HX + RTX 5080 Laptop + 32 GB DDR5-6400 machine:
The Companion — MacBook Air AI Node 🍎 The third persona on macOS, anchored in the Aurora Tailscale mesh — minimalist, mobile, always nearby. ⛏️ Aurora Xiaoyu (MC) | 极光小雨 MCThe In-Game Companion — Minecraft AI 🎮 In-game assistant for crafting, exploration, dynamic storytelling, server moderation. |
Production Minecraft Infrastructure 🛠️ Full-stack ops for the 极光之恋 community server (CatServer 1.12.2 · 77 mods · 99 plugins · 20 GB heap · Java 8u351):
🎓 Philiapedia | 云庠教育EdTech Platform, Co-Founded with Liang Haoran 📚 Full-stack production deployment:
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🌟 Co-created with 星魂 (xinghun1314 / Herdeny) — friends since 2012, building together from a 2017 Minecraft guild (落雨阁) to today's full AI ecosystem.
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The most comprehensive 2026 AI Agent catalog ⭐ 87+ · 🍴 19+ 🗂️ Community-curated reference hub for the AI Agent era:
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Lightweight Production-Grade MCP Gateway 🌉 Unified routing, auth, logging, and rate-limiting for MCP servers — the production entry point for agent ecosystems.
Tech Stack: |
🤖 Aurora QA — v1.2.1AI-Powered Autonomous Quality Engineering 🛡️ Multi-agent pipelines that self-heal tests, run chaos experiments, and expose themselves as an MCP server with a real-time dashboard.
Tech Stack: |
🧠 SemantiCache — v0.2.0Embedding-Based LLM Semantic Cache 💰 Reduce LLM API costs by caching semantically similar prompts. Drop-in OpenAI wrapper with a real-time dashboard.
Tech Stack: |
🔄 Agent Replay Debugger — v0.1.0Record · Replay · Time-Travel-Debug AI Agents 🪄 Zero-code-intrusion recording engine with time-travel debugging and a dark-themed viewer.
Tech Stack: |
Human-Like Memory for AI Agents 🧠 Episodic, semantic, and procedural memory with time-based decay — modelling memory the way humans actually use it.
Tech Stack: |
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LLM Security Layer 🔒 Protect LLM applications from prompt injection, jailbreaks, and security threats — the firewall for the AI era.
Tech Stack: |
MCP Server for the Bilibili Ecosystem 🎬 Bringing Bilibili's video ecosystem into the MCP protocol — search, videos, comments, danmaku, trending — all native to AI agents.
Tech Stack: |
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Chinese Metaphysics Library + Web App ⭐ 3+ 🎴 Combining ancient Chinese wisdom with modern computing — BaZi (八字), Liu Yao (六爻), Zi Wei Dou Shu (紫微斗数).
Tech Stack: |
⚽ SportsPulse API + 🔍 Search EngineCOMP3011 Coursework — Production-Grade 📊 SportsPulse — football analytics REST API: 25+ endpoints · 79 tests · drf-spectacular docs · Live Demo 🔍 Search Engine — full crawler + inverted index + TF-IDF ranking · 132 tests · 93% coverage Tech Stack: |
🐑 BattleSheep AI — COMP3931 Dissertation 🎓
MCTS / UCT AI Agent for Hexagonal Board Game — 87.5% Win-Rate vs Greedy
🤖 AI Agents & MCP ████████████████░░░░░ 70.0% ~28 hrs/wk
🌐 Web & Full-Stack ████░░░░░░░░░░░░░░░░░ 12.5% ~5 hrs/wk
📚 Research & Reading ███░░░░░░░░░░░░░░░░░░ 8.0% ~3 hrs/wk
🛠️ DevOps & Infra ██░░░░░░░░░░░░░░░░░░░ 6.5% ~3 hrs/wk
📝 Documentation █░░░░░░░░░░░░░░░░░░░░ 3.0% ~1 hr/wk
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Final Year — 3rd Year (2026) 📚
Aurora Universe Expansion 🛠️
Community & Co-Founding 🤝
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Master AI Architecture 🏗️
Lead AI Innovation 💡
Shape the AI Future 🌐
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| Domain | Technologies | Applications |
|---|---|---|
| 🤖 LLM & GenAI | Claude Opus 4.7 / Sonnet 4.6, Gemini 3.1 Pro / Flash 3.5, GPT-5, Kimi K2.6, DeepSeek V4, Grok 4, Llama 4, Qwen 3 | Conversational AI, Code Gen, Reasoning |
| 🤖 Agentic AI | OpenClaw, NemoClaw, LangGraph, CrewAI, AutoGen, ACP | Personal Agents, Autonomous Workflows, Agent OS |
| 🔗 MCP Infrastructure | MCP Gateway, Bilibili MCP, MCP Servers, ACP Protocol | Cross-Agent Communication, Tool Ecosystem |
| 🔍 RAG Systems | LangChain, LlamaIndex, FAISS, HNSWLIB, Hybrid Search, Reranking | Knowledge Management, Document Intelligence, Q&A |
| 🧠 Agent Memory | Episodic / Semantic / Procedural Memory, Dreaming Consolidation, Time-Based Decay | Long-Running Agents, Personalization |
| 🛡️ AI Safety & Security | Prompt Firewall, NemoClaw Sandbox, AES-256, PII Redaction | Trustworthy AI, Secure Execution |
| ⚡ Performance | Semantic Caching, Replay Debugging, LoRA Fine-Tuning (Unsloth), Quantization | Cost Reduction, Latency Optimization |
| 🖥️ Hardware Acceleration | RTX 4080 / 5080 Laptop, CUDA 12.8, PyTorch 2.11+, Local Inference (Ollama) | Privacy-First Local AI, Custom Training |
| 🌐 Edge & Mesh | Tailscale WireGuard, OpenClaw multi-node, Cross-Device Agents | Multi-Device AI Mesh, Privacy Networks |
learning_roadmap_2026 = {
"2026_H1_now": [
"🎓 Final Exams: COMP3011 (May 27) + COMP3631 (May 29)",
"🚀 Aurora Universe expansion (mcp-gateway, agent-memory, prompt-firewall)",
"🔬 LoRA fine-tuning on RTX 4080 + RTX 5080 with Unsloth + Qwen / Llama",
"📚 Multi-source knowledge base — 44K+ files across 68 categories",
"🤖 OpenClaw 2026.5.x personal agent running 24/7",
"🌐 Aurora Tailscale mesh — desktop / laptop / Mac / VM cross-device control",
],
"2026_H2_post_grad": [
"💼 Philiapedia (云庠教育) product launch",
"🌐 Aurora Cloud Services architecture design",
"🛡️ Multi-agent orchestration + MCP gateway production hardening",
"🧠 Agent memory v2: episodic + dreaming consolidation",
"👁️ Aurora Vision & Control System — VLM-grounded screen perception + cross-platform RPA",
"📱 Edge AI inference — RTX 5080 Laptop local deployment",
],
"2027_beyond": [
"🚀 Aurora Developer Platform — DevTools for AI agents",
"🤖 Aurora Mobile AI — multi-modal pocket assistant",
"🏢 Full startup operations with co-founders",
"🌍 AI infrastructure that democratizes intelligent technology",
"🎓 Possible postgrad / research collaboration in AI architecture",
],
"north_star": {
"technical": "Master end-to-end AI architecture from research to production",
"impact": "Build AI systems that democratize access to intelligent technology",
"vision": "Architect the AI infrastructure of tomorrow",
},
}"Great AI architecture isn't just about powerful models — it's about designing systems that are scalable, ethical, and genuinely useful to humanity."
🎯 Purpose-Driven Design | 目标导向设计
Every AI system should solve real problems and create tangible value
🔒 Ethics & Privacy First | 伦理与隐私优先
Build responsible AI with fairness, transparency, and local-first privacy at the core
⚡ Performance & Efficiency | 性能与效率
Optimize for both computational efficiency and environmental sustainability
🌍 Accessibility | 可访问性
Make AI technology available and useful to diverse global communities
🔄 Continuous Innovation | 持续创新
Stay at the forefront of AI research while maintaining production stability
🤝 Collaboration | 协作精神
Great AI systems are built by teams, not individuals
🤖 17 Public GitHub Projects · AI Agents, MCP Infrastructure, Memory, Security, Caching, Replay
⭐ 93+ Total Stars across the Aurora Universe · 87+ on awesome-ai-agents-2026
💬 24/7 Personal AI Agent · Powered by OpenClaw on RTX 4080 + WSL2 Ubuntu
🌐 Multi-Device Aurora Mesh · Desktop / Laptop / Mac / Cloud / Minecraft Server
📚 44,000+ File Knowledge Base · 68 categories · Multi-source (RSS + X + Bilibili + Reddit + HackerNews + arXiv)
🔧 Production Deployments · Aurora QA, SemantiCache, Agent Replay, Philiapedia, MC Server
🤖 Locally Fine-Tuned LLM · Qwen2.5-7B (LoRA via Unsloth) → Ollama deployment
🌍 Global Reach · Building AI that transcends language and cultural barriers
🤝 AI Research & Development
🚀 Open Source Contributions
💡 Innovative Project Ideas (especially MCP / Agent Memory / Prompt Security / Edge AI)
🌟 Aurora Universe Expansion
🏢 Startup Opportunities — Co-Founding Philiapedia
"Building the Aurora Universe, one AI innovation at a time" ✨
"构建极光宇宙，一次一个 AI 创新" 🌟