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---
name: research-and-local-llm
description: >-
Canonical research and local/remote LLM usage: Ollama, DeepSeek/Perplexity
style research MCPs, web/youtube summary, and research swarms.
---
# Research and Local LLM (Canonical)
**Level: max.** Aliases: `ollama`, `deepseek-reasoning`, `perplexity`, `web-summary`, `ruvnet-research`, `notebooklm-mcp-cli`.
## Procedure
1. Rumuskan pertanyaan riset + kriteria selesai.
2. Pilih jalur: local (`ollama`) vs web research MCP vs NotebookLM corpus.
3. Simpan sumber/URL di `project/{id}/notes/` atau docs research.
4. Sintesis dengan sitasi; tandai klaim belum terverifikasi.
5. Jangan mengirim data pasien/rahasia ke layanan cloud tanpa izin.
## DoD
- [ ] Jawaban + sumber
- [ ] Asumsi jelas
- [ ] Kebijakan data dihormati
## Attribution
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Part of **AI Agents Rogue** by [Rogue Development](https://github.com/rogue-dev-studio) (`@rogue-dev-studio`).
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