The whole matter, as files every agent can use.

import { generateText, isStepCount } from "ai";
import * as archil from "disk";
import { createDiskTools } from "@archildata/ai-sdk";
 
// One disk per matter
const { disk: matter } = await archil.createDisk({
  name: "matter-2026-0142",
});
 
// A mount token for the matter's sandboxes
const { token } = await matter.createToken("sandboxes");
 
// list_files, glob, grep, read_file, write_file,
// delete_file, run_bash: the matter as files
const result = await generateText({
  model: "anthropic/claude-sonnet-5.5",
  tools: {
    ...createDiskTools(matter),
    semantic_search: yourIndexTool, // keep your index
  },
  prompt: "List every document in PROD004 that cites "
    + "the side letter, and log each one to notes/.",
  stopWhen: isStepCount(30),
});

# In every sandbox: mount the matter, shared
export ARCHIL_MOUNT_TOKEN="<token>"
sudo --preserve-env=ARCHIL_MOUNT_TOKEN \
  archil mount dsk-XXXXXXXXXXXX /mnt/matter \
  --region aws-us-east-1 --conditional
 
# Unzip a production into a folder this sandbox
# checks out, then hand it back
mkdir /mnt/matter/PROD004
archil checkout /mnt/matter/PROD004
unzip -q /incoming/PROD004.zip -d /mnt/matter/PROD004
archil checkin /mnt/matter/PROD004
 
# Checkpoint before the agent runs
archil checkpoints create /mnt/matter before-run
 
# Not what you wanted? Branch from the checkpoint
# and mount the matter as it was
archil branches --region aws-us-east-1 create \
  dsk-XXXXXXXXXXXX retry-1 --from-checkpoint before-run