Reddit discussion: Identity.md files insufficient for AI employee personality stability without proper model architecture

A Reddit discussion on r/openclaw addresses issues with personality degradation when building complex AI employee teams. The post argues that prompt engineering via identity markdown files is ineffective for maintaining persona stability if the underlying model architecture can only simulate role separation rather than enforce true boundaries.

Key technical details from the source

The discussion specifically recommends using the Minimax M2.7 backend for AI employee systems. According to the post:

• Minimax M2.7 doesn't rely on prompt wrappers for role separation
• Boundary awareness was baked directly into the base training for Native Agent Teams
• The system underwent 100+ self-evolution cycles to optimize its Scaffold code
• During MM Claw testing, M2.7 handled over 40 complex skills with extensive skill descriptions
• The system maintained a 97% compliance rate in testing

The post warns that standard models can become "memory leak disasters" when building automated workforce pipelines. It claims that moving entire routing to M2.7 maintains persona boundaries in long-context agent swarms.

This discussion highlights a fundamental architectural consideration for developers building multi-agent AI systems: the limitations of surface-level persona management versus baked-in boundary enforcement at the model level.