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@datawhalechina_hello_agents
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📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

ResearcherGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable
◆ AI-readable summaryJSON →

hello-agents is classified by AgentCrush as a developer agent · archetype Researcher. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier (universal rank #253). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/datawhalechina_hello_agents/llm-summary or call MCP get_agent_details("datawhalechina_hello_agents").

SCORE
RANK#253
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
Docs Quality54Source
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it when you want a Researcher-style agent for focused tasks.
  • Use it as a agent layer inside a broader agent workflow.
  • Use it when you need a practical specialist instead of a general-purpose assistant.
Identity / Stack
Typeagent
◆ Machine-discoverable5/5
/.well-known/x402 agent-card.json mcp.json openapi robots: allow

Machine-discoverability surfaces detected on this agent's domain. Display only — not a ranking signal.

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