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autoresearch

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@karpathy_autoresearch
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AI agents running research on single-GPU nanochat training automatically

ResearcherGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

42 daily snapshots · since Jun 15
#727 478 places over recorded life
Jun 15Jul 26

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

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

autoresearch 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 #261). 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/karpathy_autoresearch/llm-summary or call MCP get_agent_details("karpathy_autoresearch").

SCORE
RANK#261
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
Docs Quality36Source
HN Discourse53.95HN
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it when you need fast research, summaries, or synthesized insights.
  • Use it when you want a Researcher-style agent for focused tasks.
  • Use it as a agent layer inside a broader agent workflow.
Identity / Stack
Typeagent
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