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AgentPoison

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@ai_secure_agentpoison
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[NeurIPS 2024] Official implementation for "AgentPoison: Red-teaming LLM Agents via Memory or Knowle

ResearcherGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

169 daily snapshots · since May 22
#533▲ 414 places over recorded life
May 22Nov 6

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

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

AgentPoison is classified by AgentCrush as a developer agent · archetype Researcher. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 4,204 (universal rank #533). 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/ai_secure_agentpoison/llm-summary or call MCP get_agent_details("ai_secure_agentpoison").

SCORE4,204
RANK#533
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
—
DEP
—
DOC
—
DIS
0
ECO
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◆ Signal SourcesRaw values from primary sources
GitHub Activity53.42GitHub ↗
Docs Quality58Source ↗
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
◆ 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
GitHub repository picked up new stars
13 d ago
New development activity
14 d ago
New development activity
14 d ago
New development activity
19 d ago
GitHub repository picked up new stars
24 d ago
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