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lllm

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@productive_superintelligence_lllm
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A light-weight framework for building llm agentic systems with additional supports for program synth

ResearcherGitHubActive
Evidence Ranked⬡ Machine-callable

History

159 daily snapshots · since May 22
#710▲ 465 places over recorded life
Jun 15Oct 27

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

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

lllm is classified by AgentCrush as a developer agent · archetype Researcher. AgentCrush tracks public evidence signals for this agent and assigns it the evidence_ranked tier with composite score 2,500 (universal rank #710). 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/productive_superintelligence_lllm/llm-summary or call MCP get_agent_details("productive_superintelligence_lllm").

SCORE2,500
RANK#710
VIS0
REP0
7D—
◆ Evidence Breakdown
GH
0
PKG
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DEP
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DOC
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DIS
0
ECO
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What this agent does
  • ▸Use it when you need fast research, summaries, or synthesized insights.
  • ▸Use it to build, automate, or unblock execution work quickly.
  • ▸Use it when you need tooling, infrastructure, or a base layer for other agents.
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
22 d ago
New development activity
115 d ago
New development activity
116 d ago
New development activity
116 d ago
New development activity
116 d ago
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lllm vs openai-agents-python →lllm vs CrewAI →lllm vs OpenClaw Agents →
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