[Feature]: 🌟 Forge x WisePick - Deterministic Capability Routing for Multi-Agent Runtime Efficiency

### What problem does this solve?

Hey 👋

Forge is one of the few projects here that actually treats agents as a real runtime problem instead of a chat wrapper 😊

The scheduler + planner + executor + memory layering direction feels highly aligned with something being explored in WisePick:

Deterministic capability routing for agent runtimes.

Current focus is reducing:

* unnecessary tool calls
* execution-path inflation
* retry loops
* routing instability across multi-tool environments

Recent runtime benchmarks inside Hermes-style environments showed:

* ~35% fewer tool calls
* ~27% shorter execution paths
* lower token/runtime cost under complex orchestration

What feels especially interesting for Forge is:
your runtime already has rich execution structure — planners, executors, modes, providers, tools.

But once agent stacks become denser, “what to execute next” becomes its own infrastructure layer.

Not trying to replace orchestration.
More like:
“a deterministic routing layer sitting beside orchestration.”

Could be interesting to explore:

* planner-time capability selection
* adaptive tool routing
* execution fallback scoring
* provider/runtime path optimization

If interesting, happy to share architecture notes or adapter examples ✨

Repo: https://github.com/w2jmoe/WisePick

### Proposed solution

.

### Alternatives considered

_No response_

### Area

Server / API

### How important is this to you?

Would significantly improve my workflow

### Additional context

_No response_

### Checklist

- [x] I searched existing issues and this is not a duplicate.
- [x] I am willing to help implement this if guidance is provided.