| type | reference | |||
|---|---|---|---|---|
| description | Three ways to create a Research Interest — free-form context, from a repo, or from a project. | |||
| tags |
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A Research Interest is a natural-language description of what your team tracks. The recommendation pipeline matches new arXiv papers (and other sources) to it. Every create command kicks off a first recommendation pass automatically — add --wait to block until picks are ready, or --no-refresh to skip.
remyxai interests create \
--name "LLM Efficiency" \
--context "Quantization, speculative decoding, KV cache compression"--context also accepts a HuggingFace or GitHub URL, which the server expands into context.
remyxai interests from-repo <github-url> analyzes the repo, generates a profile of the project (themes, architecture, history), and uses it as the interest's context:
remyxai interests from-repo https://github.com/your-org/your-repo \
--name "My Project" --daily-count 3 --automate review --wait--automate {none|review|auto}— paper-PR automation on the repo:none(default) — just create the interestreview— open a setup PR to reviewauto— set it up automatically
For the full repo setup (bulk-install, credentials, secrets), see install-paths.md.
remyxai interests from-project <name-or-uuid> builds the interest's context from a Remyx project's experiments:
# Track all experiments on the project
remyxai interests from-project "Spatial VQA" --wait
# Or curate a subset, and pin the context
remyxai interests from-project <uuid> -e "baseline-run" -e "dpo-v2" --no-auto-update-e/--include-experiment— track a specific experiment (repeatable); omit to track all--no-auto-update— pin the context instead of refreshing as new experiments land
remyxai interests list # show all your interests
remyxai interests get <name-or-uuid> # show one interest's details
remyxai interests update <id> --context ... # edit fields
remyxai interests toggle <id> # flip active/inactive
remyxai interests delete <id> # removeAn inactive interest is excluded from the daily digest until toggled back on. Deleting an interest also removes all its recommendations.
Interests are prompt-anchor artifacts — the recommendation pipeline consumes the context as natural-language framing for the ranker. Good interest contexts:
- Name specific method families ("Quantization, speculative decoding, KV cache compression"), not broad domains ("LLMs")
- Include the codebase's shape when relevant ("This is a training library; algorithm-add papers implementing new optimizers are the primary target")
- Explicitly scope out adjacent-but-off-domain areas ("Not interested in general-purpose agent frameworks; only LoRA / PEFT optimizer methods")
interests from-repo produces a reasonable context automatically for most repos. Hand-editing via interests update --context ... afterward tightens the ranker's picks when the auto-extract is too broad or catches the wrong theme.