agent-topia/evolving_personality

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1145 stars · 104 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

JPAF is a Python framework that gives LLM agents structured, evolving MBTI personalities based on Carl Jung's psychological types. It uses dominant-auxiliary coordination, reinforcement-compensation, and reflection mechanisms to maintain personality coherence while enabling short-term adaptation and long-term personality evolution.

Use cases

• simulate evolving MBTI personalities for LLM agents
• build game NPCs with consistent personalities
• create personalized AI assistants with adaptive traits
• run social simulation and role-playing agents
• test personality consistency in HCI research
• design differentiated personalities in multi-agent systems

When to choose

• you need psychologically grounded, interpretable personality control for LLM agents
• you want agents whose personalities evolve over long-term interactions
• you need MBTI alignment and type-activation evaluation tooling
• you work across multiple LLM families like GPT, Llama, or Qwen

When to avoid

• you need a production-ready framework with a clear license for commercial use
• you want simple persona prompting without psychological modeling overhead
• your project requires guaranteed long-term maintenance (no license, research-stage project)
• you need non-Python integration

Facets

framework · maturity active

agent-framework prompt-engineering llm-inference machine-learning artificial-intelligence large-language-models python cross-platform mbti personality-modeling jungian-psychology llm-agents social-simulation research-framework no-license ai-agents natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="agent-topia/evolving_personality")