Juanpe Catalán
Juanpe Catalán's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.
Totals across every corpus @Juanpe appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.
What an agent can do with the ModelRelay corpus
Juanpe/ModelRelay: Composable AI workflows for Swift: small typed steps, a model per step, tools, MCP and on-device models
- Look up how ModelRelay implements ai, apple-intelligence, foundation-models, with answers cited to file and line.
- Reuse a worked example: the commit “Centralize HTTP responses and prepare semantic releases” (19 files · Swift, shell).
- Answer from ModelRelay's real Swift source instead of memory (AI, prompts and agents).
- Where does ModelRelay handle “Centralize HTTP responses and prepare semantic releases”?
- How does ModelRelay implement ai?
- What does Tests do in ModelRelay?
Search the GitHub repository Juanpe/ModelRelay with XERJ (https://hub.xerj.org/corpus/juanpe--modelrelay). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/Juanpe/ModelRelay ModelRelay && git -C ModelRelay checkout ebd598da7ca200fdcdd4733602211b8278bc8365 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./ModelRelay --url http://127.0.0.1:9200 --prefix modelrelay --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
corpus juanpe--modelrelay · AI, prompts and agents
Related corpora: controlflow, griptape, nikiomori/Pretype, SharpAI/SwiftLM
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
Juanpe/ModelRelay
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/Juanpe)
Included with the author's permission (email, 2026-10-24), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.