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A lightweight, powerful framework for multi-agent workflows

OperatorGitHubActive
Evidence Ranked⬡ Machine-callable
◆ AI-readable summaryJSON →

openai-agents-python 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 6,720 (universal rank #59). 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/openai_openai_agents_python/llm-summary or call MCP get_agent_details("openai_openai_agents_python").

SCORE6,720
RANK#59
VIS0
REP0
7D
◆ Evidence Breakdown
GH
94.81
PKG
100
DEP
86.69
DOC
71
DIS
22.8
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity94.81GitHub
Package Usage100
Dependency Adoption86.69
Docs Quality71Source
HN Discourse22.8HN
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
GitHub repository picked up new stars
43 min ago
GitHub repository picked up new stars
4 h ago
GitHub repository picked up new stars
8 h ago
GitHub repository picked up new stars
12 h ago
GitHub repository picked up new stars
16 h ago
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