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Create state-machine-powered LLM agents using XState

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

73 daily snapshots · since May 22
#510 377 places over recorded life
May 22Aug 2

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

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

agent is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 4,312 (universal rank #510). 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/statelyai_agent/llm-summary or call MCP get_agent_details("statelyai_agent").

SCORE4,312
RANK#510
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity60.11GitHub
Docs Quality69Source
HN Discourse89.9HN
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
New development activity
4 h ago
GitHub repository picked up new stars
8 h ago
New development activity
12 h ago
New development activity
16 h ago
GitHub repository picked up new stars
1 d ago
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