class LooLo:
"""Researcher · Vibe Coder · Agent Developer"""
name = "luoolu"
alias = "LooLo — Algorithm Architect & AGI Explorer"
location = "Earth (for now)"
roles = ["Researcher", "Vibe Coder", "Agent Developer"]
focus = ["AGI", "Computer Vision", "RL", "Time-Series", "LLM Agents"]
philosophy = "The boundary between intelligence and code is dissolving — fast."
goal = "Build systems that think, perceive, and autonomously decide."
currently = {
"researching": "Foundation models for sequential decision-making",
"vibe_coding": "Turning ideas into reality with AI-assisted flow",
"building": "Multi-agent autonomous systems with tool use & planning",
}
open_to = [
"research collaborations",
"frontier AI discussions",
"agent development partnerships",
"interesting problems that need creative solutions",
]
def __repr__(self):
return "A mind obsessed with making machines think — and coding in the vibe."
|
|
+---------------------+
| Orchestrator LLM |
| (Planning & Reason) |
+----------+----------+
|
+------------+------------+
| | |
+----v----+ +----v----+ +----v----+
| Research | | Code | | Review |
| Agent | | Agent | | Agent |
+----+-----+ +----+----+ +----+----+
| | |
+----v----+ +----v----+ +----v----+
| Web | | File | | Security|
| Search | | System | | Scan |
| Tools | | Tools | | Tools |
+---------+ +---------+ +---------+
Building multi-agent systems where specialized AI agents collaborate autonomously — each with distinct tools, memory, and reasoning capabilities.
| Layer | What I Build | Stack |
|---|---|---|
| Orchestration | Multi-agent pipelines with planning & delegation | Claude Code LangGraph CrewAI |
| Tool Integration | MCP servers, function calling, API orchestration | MCP Protocol Tool Use REST/gRPC |
| Memory & State | Persistent agent memory, context management | Vector DB FAISS Redis |
| Evaluation | Agent benchmarks, reliability testing, evals | Custom Evals W&B Pytest |
Vibe Coding Workflow
════════════════════
1. IDEATE Dream it up, describe the vision
↓
2. PROMPT Translate intent into AI instructions
↓
3. GENERATE Let AI write the first draft
↓
4. CURATE Review, refine, inject domain expertise
↓
5. SHIP Deploy and iterate at lightning speed
Tools: Claude Code · Cursor · GitHub Copilot · v0
┌─────────────────────────────────────────────────────────────────────────────┐
│ ACTIVE RESEARCH & DEVELOPMENT │
│ │
│ [Research] │
│ ▸ RL-enhanced time-series forecasting for complex sequential data │
│ ▸ Foundation model adaptation for geological computer vision │
│ ▸ Sparse reward RL in partially-observable real-world environments │
│ │
│ [Agent Development] │
│ ▸ Multi-agent LLM systems for autonomous scientific reasoning │
│ ▸ Tool-augmented agents with MCP protocol integration │
│ ▸ Self-improving agent loops with evaluation-driven iteration │
│ │
│ [Vibe Coding] │
│ ▸ AI-first development workflows & rapid prototyping pipelines │
│ ▸ Claude Code extensions & custom skill development │
└─────────────────────────────────────────────────────────────────────────────┘
Live demos of AGI concepts and cutting-edge algorithms. Click -> explore -> fork
| Demo | Description | Stack | |
|---|---|---|---|
| CV | Machine Vision | DINOv2 + Mask2Former thin-section segmentation | PyTorch CUDA MMSeg |
| TS | Time-Series | KL-8 sequence prediction · AutoGluon v1.2 + RL v44 | AutoGluon Ray XGBoost |
| RL | Reinforcement Learning | PPO / QR-DQN / Meta-Ensemble sequential agents | SB3 Gymnasium RLlib |
| AGI | AGI Playground | Multi-agent LLM + Vision LLM co-reasoning system | LangChain GPT-4V FAISS |
Morning Research papers, experiment design, literature review
Afternoon Vibe coding — prototype ideas with AI assistance
Evening Agent development — build & test multi-agent pipelines
Night Open source contributions & community collaboration




