Source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/SuanmoSuanyangTechnology/MemoryBear
Markdown source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/SuanmoSuanyangTechnology/MemoryBear.md
Description: hello-agents and MemoryBear share 52 technologies: FastAPI, uvicorn, asyncpg, psycopg2-binary, Postgres, Redis, OpenAI, Hugging Face, Flask, React, fastmcp, starlette, anyio, AIOHTTP, Vite, react-router-dom, soupsieve, matplotlib, Rich, alembic, SQLAlchemy, python-jose, passlib, bcrypt, MCP, onnxruntime, scikit-learn, tiktoken, langchain-openai, LangGraph, lxml, markdown, openpyxl, pypdf, python-docx, xlrd, pdfplumber, pillow, pymupdf, pypdf2, beautifulsoup4, jinja2, annotated-types, email-validator, Pydantic, jsonschema, OpenTelemetry, D3, Tailwind CSS, react-markdown, echarts, and html2canvas. Both are written in Python.

# hello-agents vs MemoryBear

hello-agents and MemoryBear share 52 technologies: FastAPI, uvicorn, asyncpg, psycopg2-binary, Postgres, Redis, OpenAI, Hugging Face, Flask, React, fastmcp, starlette, anyio, AIOHTTP, Vite, react-router-dom, soupsieve, matplotlib, Rich, alembic, SQLAlchemy, python-jose, passlib, bcrypt, MCP, onnxruntime, scikit-learn, tiktoken, langchain-openai, LangGraph, lxml, markdown, openpyxl, pypdf, python-docx, xlrd, pdfplumber, pillow, pymupdf, pypdf2, beautifulsoup4, jinja2, annotated-types, email-validator, Pydantic, jsonschema, OpenTelemetry, D3, Tailwind CSS, react-markdown, echarts, and html2canvas. 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
- [SuanmoSuanyangTechnology/MemoryBear](https://seerepo.com/r/SuanmoSuanyangTechnology/MemoryBear): MemoryBear Equip AI with human-like memory capability

## What they share and what sets them apart

- In common: FastAPI, uvicorn, asyncpg, psycopg2-binary, Postgres, Redis, OpenAI, Hugging Face, Flask, React, fastmcp, starlette, anyio, AIOHTTP, Vite, react-router-dom, soupsieve, matplotlib, Rich, alembic, SQLAlchemy, python-jose, passlib, bcrypt, MCP, onnxruntime, scikit-learn, tiktoken, langchain-openai, LangGraph, lxml, markdown, openpyxl, pypdf, python-docx, xlrd, pdfplumber, pillow, pymupdf, pypdf2, beautifulsoup4, jinja2, annotated-types, email-validator, Pydantic, jsonschema, OpenTelemetry, D3, Tailwind CSS, react-markdown, echarts, html2canvas
- Only in hello-agents: aiosqlite, chromadb, SQLite, libsql-client, oracledb, pymilvus, Qdrant, python, react-dom, Streamlit, Vue, vue-router, cycler, fonttools, contourpy, ipywidgets, Plotly, Gradio, seaborn, accelerate, bitsandbytes, camel-ai, mermaid, peft, safetensors, tavily-python, textblob, tokenizers, hello-agents, torch, transformers, agentscope, sentence-transformers, autogen-agentchat, autogen-ext, datasets, langdetect, paddlenlp, rank-bm25, spaCy, imaplib2, pdfminer.six, reportlab, feedparser, pymupdf4llm, kubernetes, opentelemetry-exporter-otlp-proto-grpc, loguru, ant-design-vue, @ant-design/icons-vue, katex, markdown-it, vue-flow, @monaco-editor/loader, Chart.js, vue-chartjs, highlight.js, dompurify, marked, Element, vue-echarts, @element-plus/icons-vue, Leaflet, @amap/amap-jsapi-loader, jspdf
- Only in MemoryBear: Actix Web, amqp, psycopg, py-key-value-aio, s3transfer, Celery, Neo4j, oss2, kombu, elasticsearch-dsl, valkey, Elasticsearch, werkzeug, Tokio, prompt-toolkit, authlib, ecdsa, itsdangerous, keyring, cryptography, pyjwt, crcmod, langchain-mcp-adapters, langfuse, langgraph-sdk, langsmith, xinference-client, LangChain, dashscope, langid, opencv-python, langchain-aws, langchain-ollama, nltk, chonkie, ModelScope, Ollama, xgboost, docutils, et-xmlfile, html5lib, mako, markdown-it-py, markupsafe, mdurl, python-magic-bin, rich-rst, ruamel-yaml, ruamel-yaml-clib, webencodings, python-magic, olefile, python-calamine, python-pptx, tika, mammoth, markdownify, demjson3, jsonschema-path, jsonschema-specifications, marshmallow, openapi-pydantic, referencing, beartype, Flower, opentelemetry-semantic-conventions, volcengine-python-sdk, botocore, prometheus-client, tracing, boto3, psutil, concurrent-log-handler, tracing-subscriber, @codemirror/theme-one-dark, antd, lexical, AntV, echarts-for-react, react-infinite-scroll-component, dnd-kit, CodeMirror, echarts-wordcloud, react-syntax-highlighter, Mermaid, react-fast-marquee, react-window, js-yaml, pdfjs-dist, rehype-katex, rehype-raw, remark-breaks, remark-gfm, remark-math, xlsx

## Side by side

| | hello-agents | MemoryBear |
|---|---|---|
| Size | 227,369 lines written, 1,215 code files | 773,759 lines written, 3,244 code files |
| Who writes it | 3.3% of its commits signed by AI. With Codex, Claude Code, and Cursor | 0.8% of its commits signed by AI. With Claude Code and Codex |
| Activity | Last push November 11, 2026, 667 commits, 86,829 stars | Last push November 13, 2026, 5,353 commits, 10,206 stars |
| Tests | 103 test files. 6.8% of its code files have a test that imports them | 48 test files. 2.3% 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 MemoryBear?

MemoryBear, with 773,759 lines written; hello-agents has 227,369.

The proof: [SuanmoSuanyangTechnology/MemoryBear's code at commit 9ba1071](https://github.com/SuanmoSuanyangTechnology/MemoryBear/tree/9ba1071e12388e320dc4d871c5ad6ac4c539ff55)

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

hello-agents, with 86,829 stars; MemoryBear has 10,206.

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

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

hello-agents, with 103 test files; MemoryBear has 48.

The proof: [datawhalechina/hello-agents's code at commit 2a506bc](https://github.com/datawhalechina/hello-agents/tree/2a506bc7e0e3e2235435559b7f2825057ce9a09c)

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

MemoryBear: its last push was on November 13, 2026, and hello-agents's on November 11, 2026.

The proof: [SuanmoSuanyangTechnology/MemoryBear's commits on GitHub](https://github.com/SuanmoSuanyangTechnology/MemoryBear/commits)

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

hello-agents: an AI signed 3.3% of its commits, with Codex, Claude Code, and Cursor; in MemoryBear, 0.8%.

The proof: [the commits each tool signed in datawhalechina/hello-agents](https://seerepo.com/r/datawhalechina/hello-agents/ai)

## Sources

- datawhalechina/hello-agents: Read on November 12, 2026, at commit 2a506bc (https://github.com/datawhalechina/hello-agents/tree/2a506bc7e0e3e2235435559b7f2825057ce9a09c)
- SuanmoSuanyangTechnology/MemoryBear: Read on November 13, 2026, at commit 9ba1071 (https://github.com/SuanmoSuanyangTechnology/MemoryBear/tree/9ba1071e12388e320dc4d871c5ad6ac4c539ff55)

## 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.