Hardening the Core and Cognitive Pruning

Consolidating the Release Candidate

Today focused on bringing the rc-0.3.0 branch up to parity with recent hotfixes from the previous candidate. This merge introduces several stability improvements to the core infrastructure. Key among these is the move to in-database storage for encryption keys, providing a more robust persistence model than transient environment variables.

We also integrated a new token analytics dashboard to give better visibility into LLM usage and costs. On the reliability front, we addressed a provider cache poisoning bug and fixed issues with the 002 migration script. A new short message boundary gate was also added to better handle edge cases in message processing, supported by a heavy suite of boundary pressure tests.

Pruning the Cognitive Layer

As the project evolves, it’s important to remove the scaffolding of ideas that didn’t make the cut. I spent time identifying and removing “dead” cognitive jobs and orphaned configurations that were cluttering the codebase.

The frontal-cortex-reflexive job was deleted as it had zero remaining code references. Similarly, several agent configurations—including mode-reflection, mode-tiebreaker, and procedural-memory—were removed because the services they supported no longer exist or were never fully implemented. Cleaning these out, along with their stale docstring references, ensures that the system architecture remains readable and that we aren’t maintaining configurations for features that aren’t actually running.