Show HN:Neo - 首個自主式機器學習與AI工程師代理
Neo是一款專為機器學習與數據科學專業人士設計的自主式AI代理,整合於VS Code中。它不僅能生成程式碼,還能執行實驗、評估模型並部署AI系統,支援多種框架和大型語言模型任務。

Neo - Autonomous Machine Learning Engineer
Neo Research Inc.
Neo - Autonomous AI Agent for Machine Learning and Data Science

Neo is an autonomous AI agent designed specifically for Machine learning engineers, AI engineers and data scientists.
Neo doesn’t just help you write ML code, it executes experiments, evaluates models, and iterates like a real ML engineer. From training deep learning models and fine-tuning LLMs to building LLM and RAG pipelines and deploying production ready AI systems.
Unlike coding assistants that only generate code snippets, Neo:
All directly inside VS Code.
Works seamlessly with PyTorch, TensorFlow, Hugging Face, and modern AI frameworks using natural language.
Who Neo is For
🤖 Gen AI & LLM Engineers: Build RAG systems, fine-tune latest models (Llama 3, Qwen, Gemma), deploy production LLM applications.
🎯 Data Scientists & ML Engineers: Train deep learning models, experiment with state-of-the-art architectures, build ML pipelines.
📈 Product Managers: Prototype ML features, validate hypotheses with data.
🏥 Domain Experts (Healthcare, Legal, Marketing): Apply AI to your domain without coding expertise.
📊 Data Analysts: Generate insights, build predictive models, automate data analysis.
What Neo Can Do
🧠 Generative AI & LLM Applications
🤖 Machine Learning & AI Development
💼 Business Intelligence & Analytics
💹 Financial Analysis & Quantitative Finance
📊 Data Science & Analysis
👁️ Computer Vision
🎤 Speech & Audio AI
🔬 Experiment & Research Management

☁️ Cloud Integration
Neo connects to your cloud services:
Quick Start
1. Install & Login
New to Neo? Sign up free at heyneo.so
2. Tell Neo What You Want to Build
Use natural language to describe your goal, Neo handles the technical implementation:
3. Watch Neo Work Autonomously
Neo operates as a fully autonomous agent:
You maintain full control: Pause, review, or stop at any time. No black box: See exactly what Neo is doing.

Key Features
🚀 Autonomous Workflow Execution
Describe what you want in plain English. Neo handles the technical implementation. No need to know PyTorch, TensorFlow, or ML algorithms.
💻 Local & Secure
All code runs locally in your workspace. Your data, models, and credentials stay on your machine. Full transparency.
📦 Framework & Library Support
Works with industry-standard tools:
🔄 Full Context Awareness
Neo understands your data structure, existing code, and project context. Works with CSV, Excel, SQL databases, APIs, and cloud storage.
📈 Real-Time Progress
Monitor progress while Neo works: see current tasks, training metrics, and logs in real-time.
🔐 Secure Credential Management
Store AWS, Weights & Biases, HuggingFace, and Kaggle credentials securely using VS Code's encrypted storage.
💬 Conversational Interface
Ask follow-up questions, request modifications, or get explanations. Neo maintains context throughout the conversation.
Use Cases by Role
📊 Data Analysts
💼 Financial Analysts & Quants
🎯 Marketing & Sales
🏥 Healthcare & Life Sciences
🎓 Researchers & Academics
🏗️ Product & Engineering Teams
Commands
Open Command Palette (Cmd+Shift+P / Ctrl+Shift+P):
Cloud Integrations
Connect your private datasets and production tools directly from Neo's integrations panel (Settings → Integrations in Neo sidebar). These integrations enable Neo to seamlessly access your proprietary data, track experiments, and deploy models without manual file transfers—critical for enterprise workflows, fine-tuning on private documents, and production ML pipelines.
Requirements
Privacy & Security
Example Workflows
Business: Sales Forecasting
Finance: Portfolio Optimization
ML: Customer Churn Prediction
NLP: Document Analysis
Computer Vision: Quality Control
Troubleshooting
Neo not responding?
Package installation fails?
Cloud integration errors?
Data loading issues?
Need help or want to report an issue?
Keywords
Machine Learning, ML Engineering, AI Engineering, AI Agent, Data Science, Autonomous AI, Model Training, Experiment Tracking, ML Workflows, Model Evaluation, Time Series Forecasting, Deep Learning, LLM, LLM Fine Tuning, Fine-tuning, Computer Vision, NLP, Natural Language Processing, RAG, Retrieval Augmented Generation, Generative AI, Gen AI, PyTorch, TensorFlow, scikit-learn, Hugging Face, MLOps, Churn Prediction, Python, Data Analysis, Exploratory Data Analysis, Statistical Modeling, Customer Segmentation, A/B Testing, Automated Machine Learning, AutoML, Neural Networks, Transformers, BERT, GPT, Speech Recognition, Text to Speech, Image Classification, Object Detection, Sentiment Analysis, LangChain, Data Visualization
Support
Need help? We're here for you!
License
Proprietary - Copyright © 2026 Neo Research Inc.
AI-powered workflows for AI engineers, ML engineers, Data scientists and data analysts ❤️
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