Source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/mlc-ai/mlc-llm
Markdown source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/mlc-ai/mlc-llm.md
Description: hello-agents and mlc-llm share 8 technologies: FastAPI, uvicorn, OpenAI, safetensors, torch, transformers, tiktoken, and datasets. Both are written in Python.

# hello-agents vs mlc-llm

hello-agents and mlc-llm share 8 technologies: FastAPI, uvicorn, OpenAI, safetensors, torch, transformers, tiktoken, and datasets. Both are written in Python.

- [datawhalechina/hello-agents](https://seerepo.com/r/datawhalechina/hello-agents): 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
- [mlc-ai/mlc-llm](https://seerepo.com/r/mlc-ai/mlc-llm): Universal LLM Deployment Engine with ML Compilation

## What they share and what sets them apart

- In common: FastAPI, uvicorn, OpenAI, safetensors, torch, transformers, tiktoken, datasets
- Only in hello-agents: aiosqlite, asyncpg, psycopg2-binary, Postgres, chromadb, Redis, SQLite, oracledb, pymilvus, Qdrant, Hugging Face, Flask, fastmcp, starlette, anyio, AIOHTTP, Streamlit, Vite, Vue, vue-router, React, react-router-dom, cycler, fonttools, contourpy, Plotly, Gradio, matplotlib, Rich, alembic, SQLAlchemy, bcrypt, accelerate, MCP, onnxruntime, peft, tavily-python, tokenizers, scikit-learn, sentence-transformers, langchain-openai, LangGraph, paddlenlp, rank-bm25, spaCy, lxml, markdown, openpyxl, pdfminer.six, pypdf, python-docx, reportlab, xlrd, pdfplumber, pillow, feedparser, pymupdf, beautifulsoup4, jinja2, annotated-types, email-validator, pydantic-core, Pydantic, jsonschema, OpenTelemetry, opentelemetry-exporter-otlp-proto-grpc, loguru, D3, katex, Tailwind CSS, markdown-it, vue-flow, Chart.js, vue-chartjs, highlight.js, dompurify, marked, react-markdown, Element, echarts, Leaflet, Mermaid, html2canvas, jspdf
- Only in mlc-llm: Jetpack Compose, androidx.core:core-ktx, androidx.navigation:navigation-compose, lifecycle-runtime-ktx, appcompat, com.google.android.material:material, ui-graphics, MarkdownUI, prompt-toolkit, androidx.compose.material:material-icons-extended, apache-tvm-ffi, flashinfer-python, sentencepiece

## Side by side

| | hello-agents | mlc-llm |
|---|---|---|
| Size | 226,661 lines written, 1,212 code files | 80,952 lines written, 325 code files |
| Who writes it | 2.4% of its commits signed by AI. With Codex, Cursor, and Claude Code | 0.2% of its commits signed by AI. With Claude Code, Gemini CLI, and GitHub Copilot |
| Activity | Last push October 13, 2026, 660 commits, 86,039 stars | Last push October 30, 2026, 1,823 commits, 23,302 stars |
| Tests | 97 test files. 6.9% of its code files have a test that imports them | 69 test files. 16.3% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, hello-agents or mlc-llm?

hello-agents, with 226,661 lines written; mlc-llm has 80,952.

The proof: [datawhalechina/hello-agents's code at commit 36f583c](https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)

### Which has more GitHub stars, hello-agents or mlc-llm?

hello-agents, with 86,039 stars; mlc-llm has 23,302.

The proof: [datawhalechina/hello-agents on GitHub](https://github.com/datawhalechina/hello-agents)

### Which has more tests, hello-agents or mlc-llm?

hello-agents, with 97 test files; mlc-llm has 69.

The proof: [datawhalechina/hello-agents's code at commit 36f583c](https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)

### Which was updated more recently, hello-agents or mlc-llm?

mlc-llm: its last push was on October 30, 2026, and hello-agents's on October 13, 2026.

The proof: [mlc-ai/mlc-llm's commits on GitHub](https://github.com/mlc-ai/mlc-llm/commits)

### Which has more commits signed by AI, hello-agents or mlc-llm?

hello-agents: an AI signed 2.4% of its commits, with Codex, Cursor, and Claude Code; in mlc-llm, 0.2%.

## Sources

- datawhalechina/hello-agents: Read on November 4, 2026, at commit 36f583c (https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)
- mlc-ai/mlc-llm: Read on November 4, 2026, at commit 44fd06d (https://github.com/mlc-ai/mlc-llm/tree/44fd06d04f22c87820e205b0f2b2e5e6a1f6ca85)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.