jjyaoao/HelloAgents
A agent framework based on the tutorial hello-agents observed · 2026-10-18
Health v2 · maintenance only
84/100
- Activity 98
- Release rhythm 98
- Longevity 28
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 3.5
- age_days: 404
- days_rel: 14
- days_push: 14
- n_releases_24m: 13
Adoption not part of the score
3250 stars · 745 forks observed · 2026-10-18
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
HelloAgents is a Python multi-agent framework built on OpenAI-compatible APIs, offering tool response protocols, context engineering, session persistence, sub-agent mechanisms, and observability features. It also serves as the companion codebase for the Datawhale Hello-Agents tutorial, with a dedicated learning branch.
Use cases
- build multi-agent llm applications in python
- learn how agent frameworks work step by step
- create a react agent with custom tools
- add session persistence and context management to an llm agent
- connect an agent to openai, claude, gemini, or ollama endpoints
- track agent decisions and token usage with tracing and logging
When to choose
- you want a batteries-included agent framework with tooling, persistence, and observability
- you are following the Datawhale Hello-Agents tutorial and want matching code
- you need OpenAI-compatible, Anthropic, and Gemini provider support in one framework
When to avoid
- you need a permissively licensed library for commercial products - it is CC BY-NC-SA
- you want a minimal, unopinionated agent loop
- you need a framework in a language other than Python (a community Go port exists separately)
Facets
framework · maturity active
agent-framework llm-inference prompt-engineering chatbot workflow-automation logging tracing artificial-intelligence large-language-models developer-tools education python cross-platform multi-agent react-agents tool-registry session-persistence context-engineering skills openai-compatible tutorial-companion non-commercial-license ai-agents
1 source
- readme: https://github.com/jjyaoao/HelloAgents · fetched 2026-10-18 · e7123be27557
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jjyaoao/HelloAgents | main | 84 |
For agents
markdown · JSON · MCP: product_card(name="jjyaoao/HelloAgents")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem