L

LLocalSearch

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@nilsherzig_llocalsearch
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LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

156 daily snapshots · since May 22
#790▼ 435 places over recorded life
May 22Oct 24

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

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

LLocalSearch 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 1,887 (universal rank #790). 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/nilsherzig_llocalsearch/llm-summary or call MCP get_agent_details("nilsherzig_llocalsearch").

SCORE1,887
RANK#790
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
—
DEP
—
DOC
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DIS
0
ECO
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◆ Signal SourcesRaw values from primary sources
GitHub Activity69.02GitHub ↗
Docs Quality46Source ↗
HN Discourse21.79HN ↗
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
Activity
GitHub repository picked up new stars
38 d ago
GitHub repository picked up new stars
47 d ago
GitHub repository picked up new stars
58 d ago
GitHub repository picked up new stars
63 d ago
GitHub repository picked up new stars
72 d ago
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<a href="https://agentcrush.xyz/agent/nilsherzig_llocalsearch?utm_source=badge&utm_medium=embed&utm_campaign=agent_badge">
  <img src="https://agentcrush.xyz/embed/nilsherzig_llocalsearch.svg" alt="AgentCrush rank badge for LLocalSearch" />
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