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ai-agents-from-scratch

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@pguso_ai_agents_from_scratch
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Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of fun

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

66 daily snapshots · since May 22
#273 193 places over recorded life
May 22Jul 26

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

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

ai-agents-from-scratch 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 4,823 (universal rank #273). 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/pguso_ai_agents_from_scratch/llm-summary or call MCP get_agent_details("pguso_ai_agents_from_scratch").

SCORE4,823
RANK#273
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity75.61GitHub
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it to build, automate, or unblock execution work quickly.
  • Use it when you want a Operator-style agent for focused tasks.
  • Use it as a agent layer inside a broader agent workflow.
Identity / Stack
Typeagent
Activity
GitHub repository picked up new stars
4 h ago
GitHub repository picked up new stars
8 h ago
GitHub repository picked up new stars
12 h ago
GitHub repository picked up new stars
20 h ago
GitHub repository picked up new stars
1 d ago
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