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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

59 daily snapshots · since Jun 15
#1125 47 places over recorded life
Jun 15Aug 12

⚓ 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 1,002 (universal rank #1125). 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").

SCORE1,002
RANK#1125
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity30.64GitHub
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
1 d ago
GitHub repository picked up new stars
16 d ago
GitHub repository picked up new stars
19 d ago
GitHub repository picked up new stars
37 d ago
GitHub repository picked up new stars
67 d ago
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