FriedrichAI Workspace Controls: Model Switching, Saved Chats, and Kanban Next

This update continues the push toward making FriedrichAI feel less like a single chat window and more like a local AI workspace.

The newest testing build adds two major framework pieces:

- Local model management
- Saved chat management

Model management lets FriedrichAI detect local GGUF models, switch selected models, reset back to the default bundled model, and restart cleanly after a model change. This is still local-first: users can add models inside the FriedrichAI workspace without needing cloud accounts or API keys.

Saved chat management adds separate local chats. You can create chats, switch between them, reopen earlier work, and summarize the active chat. The backend now saves chat state locally and reloads useful context when a chat is opened.

Current command examples:

/model status
/model list
/model set
/model reset/chat list
/chat new
/chat open
/chat current
/chat summary

There is also an early UI layer for these controls so users do not need to type every command manually.

Next up is the Kanban/work board system. The goal is simple: let FriedrichAI track tasks, project steps, blockers, and next actions locally, then connect that board to the existing project-reading and chat systems.

This is still Early Access framework work, but the direction is clear:

Local models.
Local chats.
Local project memory.
Local task boards.
No cloud required.
No tracking.
No required API keys.

FriedrichAI is moving toward a private local workspace assistant, not just a chatbot.