Camel AI Agents

Camel AI Agents

+14 this weekUnclaimed
@camelai
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Role-playing AI agents

ResearcherGitHubActive
Evidence Ranked⬡ Machine-callable

History

87 daily snapshots · since Jun 15
#49 21 places over recorded life
Jun 15Sep 9

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

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

Camel AI Agents 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 6,810 (universal rank #49). 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/camelai/llm-summary or call MCP get_agent_details("camelai").

SCORE6,810
RANK#49
VIS11
REP3
7D+14
◆ Evidence Breakdown
GH
78.39
PKG
63.72
DEP
64.14
DOC
92
DIS
37.82
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity78.39GitHub
Package Usage63.72
Dependency Adoption64.14
Docs Quality92Source
HN Discourse37.82HN
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
118 d ago
New development activity
118 d ago
GitHub repository picked up new stars
118 d ago
GitHub repository picked up new stars
118 d ago
GitHub repository picked up new stars
118 d ago
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