datawhalechina/hello-agents

This page introduces an external open-source repository. It is not an HDATF product.

What it does

Hello-Agents is a free tutorial from the Datawhale community on building AI agents from scratch. It covers agent concepts, paradigms such as ReAct, Plan-and-Solve and Reflection, context engineering, memory, evaluation and Agentic RL training.

How it helps ATF

Its chapters on agent paradigms, context engineering, memory and evaluation could be background reading on ideas related to Harness. It is a tutorial rather than a component to reuse.

License

Custom license Custom or non-standard license. Read the license file before any reuse.

More in this category

• tinyhumansai/openhuman
  OpenHuman is a local-first agent harness. It stores memory as scored Markdown trees in SQLite, mirrored as an editable Obsidian vault, runs fleets of agents on durable graphs, and researches the user's data and the web.
• browser-use/browser-harness
  Connects an LLM agent to a real browser through a single editable CDP websocket. When a helper is missing, the agent writes it into its local workspace, so reusable helpers build up over tasks while the core code stays protected.
• fathah/hermes-desktop
  A community-maintained desktop app for installing, configuring and chatting with Hermes Agent. It offers a GUI for chat, sessions, profiles, memory, skills, tools, scheduling and messaging gateways instead of managing the CLI by hand.
• TencentCloud/CubeSandbox
  CubeSandbox is a sandbox service for AI agents, built on RustVMM and KVM, that creates hardware-isolated sandboxes. It runs on one node or scales to multi-node clusters and is compatible with the E2B SDK.
• microsoft/Webwright
  Webwright gives an LLM a terminal from which it opens browser sessions and completes a web task as a single re-runnable Python script. Solved tasks can be turned into reusable code skills that rerun without a model.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.