MirrorMind: MBTI → YAML → Persistent AI Persona Protocol #31861
HWAN-OH
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Show and tell
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Hello LangChain community
Like many of you, I've been fascinated by the power of agents but also frustrated by their inherent statelessness.
Each conversation feels like Groundhog Day, and managing context windows for deep, multi-turn dialogues is a constant battle.
I believe the solution isn't just bigger memory modules, but a more fundamental approach:
→ giving agents a lightweight, persistent, and evolvable identity layer.
Introducing MirrorMind
MirrorMind is an open-source identity protocol that allows you to encode an LLM agent’s core persona using simple YAML structures.
It includes parameters like:
This protocol is model-agnostic and can be injected into GPT, Claude, Gemini, etc.
📄 Protocol spec:
https://github.com/HWAN-OH/MirrorMind-Identity-Protocol
✨ I believe this identity layer could be a natural extension to LangChain agents or agent executors,
adding personality-driven consistency and intent on top of your structured planning and memory modules.
🎮 Now, for the “Show and Tell” part
To make this more tangible (and fun), I’ve built a small interactive tool that converts any MBTI type into a fully structured MirrorMind YAML persona.
You can instantly use it as a prompt header in GPT/Claude.
▶ Try it here:
https://hwan-oh.github.io/mbti-to-mirrormind/
About me
I'm not a professional developer. I'm a C-level executive in Korea's energy sector (HD Hyundai).
I started this project to solve my own pain points in strategic planning and team communication.
The whole thing was built through thousands of experimental conversations with AI agents — and the results were surprisingly effective.
If this resonates with your vision for long-term agent modeling, I'd love to hear your thoughts.
I'm completely open to ideas on integration, critique, or collaboration.
Thank you again for building such an incredible framework.
Warm regards,
SH Oh
[email protected]
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