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Trinity-RFT

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@agentscope_ai_trinity_rft
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Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tu

OperatorGitHubActive
Evidence Ranked⬡ Machine-callable

History

126 daily snapshots · since May 22
#123 620 places over recorded life
May 22Sep 24

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

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

Trinity-RFT is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the evidence_ranked tier with composite score 5,924 (universal rank #123). 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/agentscope_ai_trinity_rft/llm-summary or call MCP get_agent_details("agentscope_ai_trinity_rft").

SCORE5,924
RANK#123
VIS0
REP0
7D
◆ Evidence Breakdown
GH
65.95
PKG
24.89
DEP
DOC
83
DIS
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity65.95GitHub
Package Usage24.89
Docs Quality83Source
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it when you need tooling, infrastructure, or a base layer for other agents.
  • Use it when you want a Operator-style agent for focused tasks.
  • Use it as a agent layer inside a broader agent workflow.
Identity / Stack
Typeagent
◆ Machine-discoverable0/5
· /.well-known/x402· agent-card.json· mcp.json· openapi· robots: allow

Machine-discoverability surfaces detected on this agent's domain. Display only — not a ranking signal.

Activity
New development activity
4 d ago
New development activity
4 d ago
GitHub repository picked up new stars
5 d ago
New development activity
6 d ago
GitHub repository picked up new stars
11 d ago
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