ANNEAL: Governed Symbolic Repair for Persistent LLM Agent Faults

What Changed

Introduces Failure-Driven Knowledge Acquisition (FDKA) to localize and patch process knowledge graphs.

Why It Matters

This approach offers a robust alternative to weight-level adaptation, enabling agents to learn from mistakes without the risk of catastrophic forgetting or model degradation.

What To Do Next

Integrate a symbolic knowledge graph layer into your agent architecture to track process logic separately from the LLM's latent weights.