Twitter/X

Author built a unified harness that gives models full awareness of both a local…

Brief

The author built a unified harness that makes LLMs fully aware of a local lab plus rented boxes, automatically routing tool calls to appropriate local models and keeping rules and memory injected across turns. They present it as a cleaner alternative to Cursor/OpenCode, emphasize persistent state and resource-aware execution, and solicit user interest.

Why it matters

Author built a unified harness that gives models full awareness of both a local lab environment and rented cloud boxes, enabling context-aware execution across resources.

Key details

  • Tool calls are automatically routed to local models while rules and memory persistently stay injected across conversational turns, maintaining state and constraints.
  • Author compares it to Cursor/OpenCode but claims it is an improved ("not shitty") implementation and asks whether people would use such a system.
Source evidence

Ive been working on a unified harness that gives models full awareness of a local lab and rented boxes, tool calls are naturally routed to local models and rules/memory stay injected across turns

its like cursor/open code but not shitty

would y'all use this?