Context
research-local-xiaomi is a local research command-line workflow around Xiaomi MiMo and OpenCode-style web search. It is framed as a reproducible research pipeline, not as a chat UI.
Problem
Research tasks often fail because the search plan, evidence, critique, and final output live in different places. The project keeps those steps explicit so the output can be inspected and repeated.
Constraints
- Local-first workflow with no hosted backend requirement.
- Structured output instead of free-form notes.
- Usage tracking and critique are part of the workflow, not afterthoughts.
Approach
The workflow separates planning, evidence gathering, critique, and report generation. That makes it easier to see where a claim came from and where the model needs a review pass.
Implementation highlights
- CLI-oriented flow for repeatable runs.
- Planning and critique stages before final report generation.
- Output structure designed for technical review.
- Local model workflow used as a practical constraint.
Result
The project demonstrates how Antonii designs research automation around local models, structured artifacts, and agentic review loops.
What it demonstrates
Local LLM workflow design, evidence-oriented prompting, CLI product thinking, and practical research automation.