C

cave-agent

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@acodercat_cave_agent
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Stateful runtime management for LLM agents—inject, manipulate, and retrieve Python objects across tu

OperatorGitHubActive
Evidence Ranked⬡ Machine-callable

History

42 daily snapshots · since Jun 15
#119 878 places over recorded life
Jun 15Jul 26

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

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

cave-agent 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 5,626 (universal rank #119). 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/acodercat_cave_agent/llm-summary or call MCP get_agent_details("acodercat_cave_agent").

SCORE5,626
RANK#119
VIS0
REP0
7D
◆ Evidence Breakdown
GH
54.34
PKG
35.07
DEP
DOC
80
DIS
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity54.34GitHub
Package Usage35.07
Docs Quality80Source
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
◆ 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
Published a new release
8 d ago
New development activity
8 d ago
New development activity
8 d ago
GitHub repository picked up new stars
9 d ago
GitHub repository picked up new stars
10 d ago
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