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ai-agents-from-zeroUnclaimed
@didilili_ai_agents_from_zero
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🚀 2026 最系统的 AI Agent 速成指南|智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGrap

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

ai-agents-from-zero 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 #1065). 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/didilili_ai_agents_from_zero/llm-summary or call MCP get_agent_details("didilili_ai_agents_from_zero").

SCORE
RANK#1065
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity68.69GitHub
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-discoverable0/5
· /.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.

Activity
GitHub repository picked up new stars
1 h ago
GitHub repository picked up new stars
5 h ago
GitHub repository picked up new stars
9 h ago
GitHub repository picked up new stars
13 h ago
GitHub repository picked up new stars
17 h ago
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