R

ReMA-public

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@ziyuwan_rema_public
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Reinforced Multi-LLM Agents training

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

104 daily snapshots · since Jun 15
#1150▲ 19 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 →

ReMA-public 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 970 (universal rank #1150). 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/ziyuwan_rema_public/llm-summary or call MCP get_agent_details("ziyuwan_rema_public").

SCORE970
RANK#1150
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
—
DEP
—
DOC
—
DIS
0
ECO
—
◆ Signal SourcesRaw values from primary sources
GitHub Activity31.53GitHub ↗
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
110 d ago
GitHub repository picked up new stars
112 d ago
GitHub repository picked up new stars
117 d ago
GitHub repository picked up new stars
122 d ago
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