Self-Improving + Proactive Agent

To stop an agent from repeating errors, this skill analyzes user corrections and logs them into a local memory structure. It uses this structured memory to optimize future actions and proactively avoid past mistakes.

Local agent memory works by reading and updating files directly within the user's workspace under ~/self-improving/. The self-improvement process operates entirely locally, avoiding external networks to prevent data leakage.

Heartbeat-based maintenance is a mechanism that ensures consistent quality and proactive follow-through. It drives the agent to continuously apply learned improvements and structured preferences across ongoing tasks.

Yes, you can use a self-improving agent without credentials or network access. The skill operates entirely locally within your workspace, requires no external network requests, and respects strict boundaries to prevent unwanted system modifications.

To start logging corrections for agent self-reflection, load memory from the ~/self-improving directory and begin recording a correction after the first major task. This builds a structured memory of preferences for future optimization.

The limitations of using local files for agent memory include confinement to the ~/self-improving/ namespaces and local workspace boundaries. It cannot perform network requests or system changes, restricting its scope to local file updates only.