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ashmoonori-afk/README.md

GwangHoon Moon

Building practical AI-native tools for real-world work

I explore the intersection of AI agents and marketing operations, focusing on small, useful tools that make complex workflows easier to manage.

Interests

  • Agent architecture, memory, and observable workflows
  • Marketing operations and automation for small teams
  • Practical automation for everyday work
  • Focused tools that solve real operational problems

Current Focus

  • AI-native agent tools that help operators work with less friction
  • Marketing tools grounded in real campaign workflows

Tokscale

Tokscale Stats

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  1. birkin birkin Public

    A minimal-core Python agent that treats memory, execution, and self-improvement as inspectable local state.

    Python 12 2

  2. birkin-mnemosyne birkin-mnemosyne Public

    Zero-dependency memory palace + safe model-agnostic curation for LLM agents (extracted from Birkin)

    Python 4

  3. ai-cmo-platform ai-cmo-platform Public

    AI CMO operating system for Korean small businesses. One consultation → agency-grade, paste-ready marketing: strategy, channel mix, hooking copy, brand kit, homepage, ads — native to Naver, Kakao, …

    Python 3

  4. agent_factory agent_factory Public

    AI driven Python engine AI agent Factory works on Codex / Claude code

    Python

  5. agentic-investment-pool agentic-investment-pool Public

    Agentic investment analysis engine that evaluates markets and securities from news and financial data using deterministic and non-deterministic decision pipelines—not an autonomous trading bot.

    TypeScript 3 1

  6. Design-Claude-Burnguard Design-Claude-Burnguard Public

    Sick of claude design token. this works on your local machine with claude code or codex. fully local project

    TypeScript 18 2