Source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/emcie-co/parlant
Markdown source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/emcie-co/parlant.md
Description: hello-agents and parlant share 17 technologies: FastAPI, uvicorn, aiosqlite, SQLite, OpenAI, fastmcp, starlette, Vite, React, Rich, MCP, tokenizers, tiktoken, jinja2, jsonschema, OpenTelemetry, and Tailwind CSS. Both are written in Python.

# hello-agents vs parlant

hello-agents and parlant share 17 technologies: FastAPI, uvicorn, aiosqlite, SQLite, OpenAI, fastmcp, starlette, Vite, React, Rich, MCP, tokenizers, tiktoken, jinja2, jsonschema, OpenTelemetry, and Tailwind CSS. 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
- [emcie-co/parlant](https://seerepo.com/r/emcie-co/parlant): Parlant is an open platform for building customer-facing chat agents with AI. Describe how the agent should behave, and your coding agent implements it for you.

## What they share and what sets them apart

- In common: FastAPI, uvicorn, aiosqlite, SQLite, OpenAI, fastmcp, starlette, Vite, React, Rich, MCP, tokenizers, tiktoken, jinja2, jsonschema, OpenTelemetry, Tailwind CSS
- Only in hello-agents: asyncpg, psycopg2-binary, Postgres, chromadb, Redis, oracledb, pymilvus, Qdrant, Hugging Face, Flask, anyio, AIOHTTP, Streamlit, Vue, vue-router, react-router-dom, cycler, fonttools, contourpy, Plotly, Gradio, matplotlib, alembic, SQLAlchemy, bcrypt, accelerate, onnxruntime, peft, safetensors, tavily-python, torch, transformers, scikit-learn, sentence-transformers, datasets, langchain-openai, LangGraph, paddlenlp, rank-bm25, spaCy, lxml, markdown, openpyxl, pdfminer.six, pypdf, python-docx, reportlab, xlrd, pdfplumber, pillow, feedparser, pymupdf, beautifulsoup4, annotated-types, email-validator, pydantic-core, Pydantic, opentelemetry-exporter-otlp-proto-grpc, loguru, D3, katex, markdown-it, vue-flow, Chart.js, vue-chartjs, highlight.js, dompurify, marked, react-markdown, Element, echarts, Leaflet, Mermaid, html2canvas, jspdf
- Only in parlant: nano-vectordb, authlib, keyring, openapi3-parser, coloredlogs, opentelemetry-instrumentation, structlog, boto3, tailwind-merge, class-variance-authority, next-themes, Radix UI, sonner, react-resizable-panels, CodeMirror, TanStack, vaul, Lucide, rehype-highlight, rehype-raw, remark-gfm, streamdown

## Side by side

| | hello-agents | parlant |
|---|---|---|
| Size | 226,661 lines written, 1,212 code files | 214,893 lines written, 334 code files |
| Who writes it | 2.4% of its commits signed by AI. With Codex, Cursor, and Claude Code | 1.1% of its commits signed by AI. With Claude Code, Codex, and GitHub Copilot |
| Activity | Last push October 13, 2026, 660 commits, 86,039 stars | Last push November 6, 2026, 5,148 commits, 18,325 stars |
| Tests | 97 test files. 6.9% of its code files have a test that imports them | 257 test files. 57.5% 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 parlant?

hello-agents, with 226,661 lines written; parlant has 214,893.

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 parlant?

hello-agents, with 86,039 stars; parlant has 18,325.

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

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

parlant, with 257 test files; hello-agents has 97.

The proof: [emcie-co/parlant's code at commit a071a81](https://github.com/emcie-co/parlant/tree/a071a81406e47b4a0ae3bfd448e4deb170ac2f4b)

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

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

The proof: [emcie-co/parlant's commits on GitHub](https://github.com/emcie-co/parlant/commits)

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

hello-agents: an AI signed 2.4% of its commits, with Codex, Cursor, and Claude Code; in parlant, 1.1%.

## Sources

- datawhalechina/hello-agents: Read on November 4, 2026, at commit 36f583c (https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)
- emcie-co/parlant: Read on November 6, 2026, at commit a071a81 (https://github.com/emcie-co/parlant/tree/a071a81406e47b4a0ae3bfd448e4deb170ac2f4b)

## 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.