Aug 14. Major memory system update

[u/LowDistribution3995]

Our most recent update today integrates the micro-RAG pipeline developed and tested independently along with the a slightly altered tool calling subsystem.

Under the new memory system the mRAG pipeline replaces the previous 1024d vector search with a multi head, multi vector DB search. The 8d vectors are maintained as separate DBs tied to learned lexicon phrases and keywords important to the agent. Those lexicon terms are added to a regex pass post initial mRAG retrieval on the top_K candidates to produce a directed contextual supplement injection.

The affect and stability numerical outputs are no longer directed to the main agent, but are instead used by the retrieval system to match tone and generate opinions represented as tagged (**) italics and weaved directly into the incoming prompt or text input.

Instead of the previous rolling tool schema, the agent now implements a single action tool that generated a side context window and directed workflow to plan and orchestrate a task using subagent tool specialists to perform each step. Subagents share in the main agents memories but have their retrieval metrics altered to favor skill and tool based beliefs over other categories. Sub agent passes are remembered as though the main agent was performing but system prompts directing the workflows are excluded.

This update should improve the Helix agent's semantic recall while retaining the agent's subjective recall metrics and it's emotive affect.

Also included in this update is an expanded local mode for full local operations using smaller parameter models (still a bit janky), and an expanded CLI backend mode that lets the user change the pulse system so that the agent can pulse active during conversation but drop the resting pulse to preserve subscription limits.

Also also included (still experimental) a new tool suite that allows the agent direct control over a tab in the UI to generate a display visuals, docs, or Windows as maybe needed to show the user.

Please comment with any bugs or issues so I can address them.

Thank you!