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self-reflection

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@matthewrenze_self_reflection
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Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

104 daily snapshots · since Jun 15
#1137▲ 35 places over recorded life
Jun 15Sep 26

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

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

self-reflection 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 1,006 (universal rank #1137). 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/matthewrenze_self_reflection/llm-summary or call MCP get_agent_details("matthewrenze_self_reflection").

SCORE1,006
RANK#1137
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
—
DEP
—
DOC
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DIS
0
ECO
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◆ Signal SourcesRaw values from primary sources
GitHub Activity31.1GitHub ↗
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
35 d ago
GitHub repository picked up new stars
47 d ago
GitHub repository picked up new stars
61 d ago
GitHub repository picked up new stars
64 d ago
GitHub repository picked up new stars
82 d ago
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