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OPT-BENCH

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@oliverleexz_opt_bench
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OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

73 daily snapshots · since May 22
#763 323 places over recorded life
Jun 15Aug 2

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

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

OPT-BENCH 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 2,252 (universal rank #763). 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/oliverleexz_opt_bench/llm-summary or call MCP get_agent_details("oliverleexz_opt_bench").

SCORE2,252
RANK#763
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity39.63GitHub
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
Activity
GitHub repository picked up new stars
27 d ago
GitHub repository picked up new stars
67 d ago
GitHub repository picked up new stars
72 d ago
GitHub repository picked up new stars
79 d ago
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