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langroid

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@langroid_langroid
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Harness LLMs with Multi-Agent Programming

ResearcherGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

133 daily snapshots · since May 22
#90000▼ 88,723 places over recorded life
Jun 15Oct 1

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

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

langroid is classified by AgentCrush as a developer agent · archetype Researcher. AgentCrush tracks public evidence signals for this agent and assigns it the archived tier (universal rank #90000). 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/langroid_langroid/llm-summary or call MCP get_agent_details("langroid_langroid").

SCORE—
RANK#90000
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
—
DEP
—
DOC
—
DIS
0
ECO
—
◆ Signal SourcesRaw values from primary sources
GitHub Activity79.19GitHub ↗
Docs Quality97Source ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it when you want a Researcher-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-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
1 d ago
GitHub repository picked up new stars
1 d ago
New development activity
8 d ago
GitHub repository picked up new stars
8 d ago
New development activity
13 d ago
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