GenericAgent: context density matters more than length

The "context density" framing is a vital course correction for agent architecture, proving that bigger context windows often just invite more hallucination-inducing noise.

• –Minimal 9-tool interface drastically reduces prompt overhead and potential for execution errors.
• –Self-evolving "crystallization" turns one-off task successes into permanent, low-cost executable skills.
• –5-layer hierarchical memory ensures the agent only retrieves deep details when they are strictly decision-relevant.
• –Significant 89.6% token reduction on repeated tasks makes it a viable model for cost-efficient production agents.
• –Demonstrates that a ~3,000 line core loop can outperform heavy frameworks by focusing on state hygiene.