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langchain-in-action

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Practical LangChain patterns and implementations for real-world LLM applications. 极客时间:LangChain实战课

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

73 daily snapshots · since May 22
#932 165 places over recorded life
May 22Aug 2

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⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

langchain-in-action is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 1,441 (universal rank #932). 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/huangjia2019_langchain_in_action/llm-summary or call MCP get_agent_details("huangjia2019_langchain_in_action").

SCORE1,441
RANK#932
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity48.87GitHub
Docs Quality0Source
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it when you want a Operator-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-discoverable1/5
· /.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
8 d ago
GitHub repository picked up new stars
9 d ago
GitHub repository picked up new stars
25 d ago
GitHub repository picked up new stars
25 d ago
GitHub repository picked up new stars
32 d ago
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