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npcpy

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@npc_worldwide_npcpy
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The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graph

ResearcherGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

157 daily snapshots · since May 22
#413▲ 178 places over recorded life
May 22Oct 25

⚓ Every daily point is Merkle-anchored on Base — verify the record

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

npcpy 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 #640). 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/npc_worldwide_npcpy/llm-summary or call MCP get_agent_details("npc_worldwide_npcpy").

SCORE—
RANK#640
VIS0
REP0
7D—
◌ Evidence Progress
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0
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DOC
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DIS
0
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◆ Signal SourcesRaw values from primary sources
GitHub Activity71.22GitHub ↗
Docs Quality79Source ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it when you need fast research, summaries, or synthesized insights.
  • ▸Use it to build, automate, or unblock execution work quickly.
  • ▸Use it when you want a Researcher-style agent for focused tasks.
Identity / Stack
Typeagent
Activity
GitHub repository picked up new stars
3 d ago
New development activity
4 d ago
New development activity
4 d ago
GitHub repository picked up new stars
5 d ago
New development activity
5 d ago
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