R

RAGElo

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@zetaalphavector_ragelo
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RAGElo is a set of tools that helps you selecting the best RAG-based LLM agents by using an Elo rank

ResearcherGitHubActive
Evidence Ranked⬡ Machine-callable

History

148 daily snapshots · since May 22
#152▲ 886 places over recorded life
Jun 15Oct 16

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

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

RAGElo is classified by AgentCrush as a developer agent · archetype Researcher. AgentCrush tracks public evidence signals for this agent and assigns it the evidence_ranked tier with composite score 5,564 (universal rank #152). 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/zetaalphavector_ragelo/llm-summary or call MCP get_agent_details("zetaalphavector_ragelo").

SCORE5,564
RANK#152
VIS0
REP0
7D—
◆ Evidence Breakdown
GH
51.68
PKG
29.48
DEP
—
DOC
75
DIS
8.35
ECO
—
◆ Signal SourcesRaw values from primary sources
GitHub Activity51.68GitHub ↗
Package Usage29.48—
Docs Quality75Source ↗
HN Discourse8.35HN ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it when you want a Researcher-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
23 d ago
Published a new release
25 d ago
New development activity
25 d ago
New development activity
25 d ago
New development activity
26 d ago
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RAGElo vs openai-agents-python →RAGElo vs CrewAI →RAGElo vs OpenClaw Agents →
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