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Nav: Discover > Search | URL: /resources Every AI team has a backlog of techniques they want to try but never have time to evaluate. The pace of change means what was best practice weeks ago may already be suboptimal, but scanning arXiv, GitHub, and HuggingFace manually doesn’t scale. Search provides semantic search across research papers, GitHub repositories, HuggingFace models, and more, matched to what your team is building. Pre-built Docker environments let you test a technique in minutes instead of spending days on dependency setup.

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Search Interface

Type a natural-language query into the search bar. Remyx runs hybrid retrieval (BM25 + dense vector + re-ranking) across its resource index and returns ranked results.
/search/assets enforces a server-side deadline. If a query runs long, it returns a structured timeout (with a request id and the elapsed time) instead of hanging. Retry the request, and include the request id if you report a slow query.
Results appear in a card grid. Each card shows:
Resources with the Runnable environment badge have pre-built Docker images with dependencies installed and example scripts ready to run. These are the fastest path from discovery to experiment.

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Filtering and Sorting

A toolbar appears above results after you search: The Runnable tab filters to resources with verified Docker environments — useful when you want to test a technique immediately without environment setup.

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Personalized Suggestions

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Authenticated Users

When you’re logged in and haven’t searched yet, the page shows:
  • Suggestion cards built from your experiment tags — topics you’ve already explored, surfaced as quick-search shortcuts
  • “Relevant to your work” section with resources matched to your team’s experiment history

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Anonymous Users

When not logged in, the page shows:
  • Trending suggestion cards populated from live search queries
  • Recent resources section with highlights from the index

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Resource Detail Viewer

Click View on any result to open the resource detail page:
  • Full abstract / README
  • Resource links (arXiv, GitHub, HuggingFace)
  • Citation count and categories
  • Docker image reference (if available)
  • Dockerfile contents (if available)
From any resource detail view, click Create Experiment to start an experiment sourced from this resource. This:
  1. Links the resource as the experiment’s source
  2. Pre-fills source metadata in the experiment record
  3. Redirects to the experiment detail page where a launch context generates automatically

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Deep Research

When you create a repo-backed Research Interest, Remyx runs a typed, cited deep-research pass and stores a section-grained research brief for that repo: domain framing, a survey of approaches, future directions, candidate changes, and citations. The brief feeds recommendation ranking and seeds the implementation context for automated discovery PRs. You can also ask questions about a brief and its runs by mentioning @remyx-ai on a pull request or issue those automated PRs opened.

Deep Research

How research briefs are built and stored, the Remyx bot, and paper enrichment

Feed

Personalized daily recommendations

Outcomes

Create and track experiments from search results