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ant-ai

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@idea_idsia_ant_ai
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A lightweight Python framework for building multi-agent systems that communicate via A2A protocol

BuilderGitHubActive
Evidence Ranked⬡ Machine-callable

History

96 daily snapshots · since Jun 25
#270▲ 368 places over recorded life
Jun 25Sep 28

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

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

ant-ai is classified by AgentCrush as a developer agent · archetype Builder. AgentCrush tracks public evidence signals for this agent and assigns it the evidence_ranked tier with composite score 4,889 (universal rank #270). 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/idea_idsia_ant_ai/llm-summary or call MCP get_agent_details("idea_idsia_ant_ai").

SCORE4,889
RANK#270
VIS0
REP0
7D—
◆ Evidence Breakdown
GH
29.94
PKG
28.77
DEP
—
DOC
76
DIS
—
ECO
—
◆ Signal SourcesRaw values from primary sources
GitHub Activity29.94GitHub ↗
Package Usage28.77—
Docs Quality76Source ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it to build, automate, or unblock execution work quickly.
  • ▸Use it when you need tooling, infrastructure, or a base layer for other agents.
  • ▸Use it when you want a Builder-style agent for focused tasks.
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
Published a new release
9 d ago
New development activity
9 d ago
New development activity
10 d ago
Published a new release
13 d ago
New development activity
13 d ago
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