# Auto Resource `Beta` Auto Resource is ReMe's entry point for interpreting resources and is currently in **Beta**. Resource files first enter `resource/`, preferably under a date directory, and are then interpreted into daily resource cards. Each card's filename comes from the LLM-generated frontmatter `name`, and `source_resource` links the card back to its original file.

ReMe Auto Memory and Auto Resource writing daily memory cards

For the general file semantics of workspace layers, `resource/`, and `daily/`, see [Memory as File](./memory_as_file.md). For the flow that writes conversations to daily, see [Auto Memory](./auto_memory.md). ```text resource/[YYYY-MM-DD/] ├─ step 1: daily/YYYY-MM-DD/.md # interpreted resource card ├─ step 2: source_resource points to the original resource └─ step 3: daily/YYYY-MM-DD.md # daily index linking the cards ``` ## What It Records Auto Resource does more than copy file content. It extracts information that will make the resource easier to retrieve and understand later: - Core content: what the resource is mainly about. - Structure: its sections, tables, fields, and data organization. - Key details: important numbers, names, dates, and conclusions. - Context and purpose: why the resource exists and how it relates to current work. - Actionable items: tasks, deadlines, and follow-up work. In short, it turns "a file was archived" into "the resource is usable." ## Original Resource Entry Point Auto Resource uses `resource/` as the entry point for source material. Date directories are recommended, and their date determines which daily memory layer receives the interpreted card. A file directly under `resource/` is also supported and uses today in the application timezone when it is first processed. On later days, an exact `source_resource` match keeps updates and deletion tied to that original daily card instead of creating a new card or leaving an orphan. Example directory: ```text workspace/ resource/ quick-note.txt # enters today's daily layer 2026-06-20/ market-report.md meeting-notes.csv ``` Text resources such as `md`, `txt`, `json`, `jsonl`, `csv`, `yaml`, and `html` are the primary fit. Image resources (`png`, `jpg`, `jpeg`, `webp`, `gif`, `bmp`, `tiff`, `heic`) produce caption cards as described in [Image Resources](#image-resources). Internally, one `AutoResourceStep` receives each change batch and sends every item to the first configured processor whose class-level matcher accepts it. `AutoImageResourceStep` handles image suffixes and `AutoTextResourceStep` is the final fallback. A new modality can therefore add a registered processor, its prompt, and one `dispatch_steps` entry without changing the router. ## Image Resources Image files are interpreted the same way: a vision model writes a caption card that links back to the original image. The card body starts with an `![[resource/...]]` embed link and the frontmatter carries `kind: image` and `media_type`, so text search reaches image content through the caption. The vision model is the `vision` instance of `as_llm` when configured, and otherwise falls back to the `default` instance — a multimodal default model needs no extra configuration. Images wider or taller than 2048px are downscaled, and provider-unfriendly formats are re-encoded, in memory for the request only; the original file under `resource/` is never modified. Before a full decode, image dimensions are checked against a default limit of 40,000,000 pixels; images over the limit and Pillow decompression-bomb warnings fail only that resource. EXIF orientation is applied to the in-memory request copy before resizing or conversion. Oversized JPEGs first use decoder-level downsampling, followed by a final thumbnail pass when needed. The VLM request MIME and the card's frontmatter `media_type` use the format Pillow detects from the image bytes, rather than trusting the filename extension. When an image changes, its card is rewritten in place; when the image is deleted, the card is removed with it. Image preprocessing uses Pillow from the `core` extra. HEIC resources additionally require the optional `image-heif` extra: `pip install "reme-ai[image-heif]"`. Other supported image formats do not load or require the HEIF plugin. ## Resource Cards Each resource file produces one daily resource card. The system initially uses the resource file's stem as a temporary path. After the matching processor writes the card, the file is renamed according to its frontmatter `name`: ```text resource/2026-06-20/market-report.md ↓ daily/2026-06-20/market-report-highlights.md ``` The resource card links to the original file through frontmatter: ```yaml source_resource: "[[resource/2026-06-20/market-report.md]]" ``` When a resource changes, Auto Resource finds and updates the corresponding card through an exact `source_resource` match. When a resource is deleted, only the explicitly linked daily note is removed. A same-stem note without that provenance marker is treated as user-owned and left untouched; new resource cards use a collision-free path instead. ## Daily Index Resource cards enter the same daily memory layer as Auto Memory cards. The day's `YYYY-MM-DD.md` page acts as an index and organizes those resource cards: ```text daily/ 2026-06-20.md 2026-06-20/ market-report-highlights.md meeting-notes-summary.md ``` To review which resources were processed on a day, start with `YYYY-MM-DD.md`. To inspect what was distilled from one resource, open its corresponding resource card. ## Preserving the Original Resource The interpreted daily note is optimized for readability; the original resource is retained for trust and verification. Auto Resource does not move the original file. It remains at its original path under `resource/`. Resources can therefore enter the daily memory flow while their source files stay in their original location. ## What Happens Next Auto Resource only creates resource interpretations in the daily layer. To distill long-term knowledge from resources into `digest/`, use [Auto Dream](./auto_dream.md). The default live index covers daily cards and digest nodes. Manual `reindex` only rebuilds search indexes from chunks already accepted by an ingestion path; it does not add the original resource files to search. See [Memory Search](./memory_search.md).