Source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/langchain-ai/langgraph
Markdown source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/langchain-ai/langgraph.md
Description: hello-agents and langgraph share 5 technologies: aiosqlite, Postgres, SQLite, LangGraph, and Pydantic. Both are written in Python.

# hello-agents vs langgraph

hello-agents and langgraph share 5 technologies: aiosqlite, Postgres, SQLite, LangGraph, and Pydantic. 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
- [langchain-ai/langgraph](https://seerepo.com/r/langchain-ai/langgraph): Build resilient agents.

## What they share and what sets them apart

- In common: aiosqlite, Postgres, SQLite, LangGraph, Pydantic
- Only in hello-agents: FastAPI, uvicorn, asyncpg, psycopg2-binary, chromadb, Redis, oracledb, pymilvus, OpenAI, 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, safetensors, tavily-python, tokenizers, torch, transformers, scikit-learn, sentence-transformers, tiktoken, datasets, langchain-openai, 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, 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 langgraph: psycopg, psycopg-pool, sqlite-vec, LangChain, langgraph-sdk, langchain-protocol

## Side by side

| | hello-agents | langgraph |
|---|---|---|
| Size | 226,661 lines written, 1,212 code files | 206,994 lines written, 205 code files |
| Who writes it | 2.4% of its commits signed by AI. With Codex, Cursor, and Claude Code | 0.8% of its commits signed by AI. With Claude Code, Cursor, GitHub Copilot, and Jules |
| Activity | Last push October 13, 2026, 660 commits, 86,039 stars | Last push November 6, 2026, 6,078 commits, 44,533 stars |
| Tests | 97 test files. 6.9% of its code files have a test that imports them | 247 test files. 50.7% 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 langgraph?

hello-agents, with 226,661 lines written; langgraph has 206,994.

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 langgraph?

hello-agents, with 86,039 stars; langgraph has 44,533.

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

### Which has more tests, hello-agents or langgraph?

langgraph, with 247 test files; hello-agents has 97.

The proof: [langchain-ai/langgraph's code at commit 5847733](https://github.com/langchain-ai/langgraph/tree/5847733bcb186c26b32da5cc822eaf8a89deffeb)

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

langgraph: its last push was on November 6, 2026, and hello-agents's on October 13, 2026.

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

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

hello-agents: an AI signed 2.4% of its commits, with Codex, Cursor, and Claude Code; in langgraph, 0.8%.

## Sources

- datawhalechina/hello-agents: Read on November 4, 2026, at commit 36f583c (https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)
- langchain-ai/langgraph: Read on November 6, 2026, at commit 5847733 (https://github.com/langchain-ai/langgraph/tree/5847733bcb186c26b32da5cc822eaf8a89deffeb)

## 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.