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cascadeflow

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@lemony_ai_cascadeflow
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Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the ag

OperatorGitHubActive
Evidence Ranked⬡ Machine-callable

History

158 daily snapshots · since May 22
#455▲ 463 places over recorded life
May 22Oct 26

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

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

cascadeflow 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 4,497 (universal rank #455). 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/lemony_ai_cascadeflow/llm-summary or call MCP get_agent_details("lemony_ai_cascadeflow").

SCORE4,497
RANK#455
VIS0
REP0
7D—
◆ Evidence Breakdown
GH
73.65
PKG
32.21
DEP
—
DOC
96
DIS
11.08
ECO
—
◆ Signal SourcesRaw values from primary sources
GitHub Activity73.65GitHub ↗
Package Usage32.21—
Docs Quality96Source ↗
HN Discourse11.08HN ↗
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-discoverable1/5
· /.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
6 h ago
GitHub repository picked up new stars
4 d ago
GitHub repository picked up new stars
8 d ago
GitHub repository picked up new stars
14 d ago
GitHub repository picked up new stars
16 d ago
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