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PublishedOctober 17, 2026 at 03:25 AM
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version: "1.0.3" name: file-document description: Store a document, email, or text for future reference with entity linking and provenance. See also: ingest-sources for multiple files; capture-meeting if it's meeting notes; summarize-doc to get a summary without filing. effort-level: medium


File Document

Store any document, email, or text for future reference with proper entity linking and provenance tracking.

Usage

/file-document or natural language:

  • "Save this email"
  • "File this for later"
  • "Keep this document"
  • "Store this transcript"

When to Use

This command is for ad-hoc document capture. Use it when:

  • User shares an email they want to preserve
  • User pastes content they want to reference later
  • User uploads a document (PDF, contract, proposal)
  • User shares research or web content worth keeping
  • Anything the user might want to cite or review later

Note: For meeting transcripts specifically, use /capture-meeting which includes extraction.

Quick Flow

1. Identify the Content

Ask if not obvious:

  • "What is this? (email, document, transcript, research, other)"
  • "Who is this about or from?"

2. Gather Metadata

Determine:
├── source_type: gmail, transcript, upload, capture
├── filename: YYYY-MM-DD-[entity]-[topic].md
├── about: [list of entity names mentioned]
└── summary: One-line description

3. File It

claudia memory document store \
--filename "Descriptive name" \
--source-type "gmail|transcript|upload|capture" \
--summary "Brief description" \
--about "entity1,entity2" \
--project-dir "$PWD" \
< content.md

(Pipe the FULL raw text via stdin; never summarize)

4. Confirm

**Filed**
**File:** [filename]
**Location:** [storage path]
**Linked to:** [entity names]
**Summary:** [one-line summary]
The document is now searchable and linked to [entities].
You can find it later with:
- "Show me documents about [entity]"
- "Find the email from [person]"
- claudia memory document search --entity "[name]" --project-dir "$PWD"

Source Types

TypeUse WhenExample
gmailEmail content"Here's an email from Sarah..."
transcriptMeeting notes/recordings"Notes from today's call..."
uploadPDFs, contracts, formal docs"Here's the contract..."
captureResearch, web content, misc"I found this article..."

File Routing

Documents are automatically routed to entity-aware folders:

If about a person:
people/sarah-chen/emails/2026-02-04-proposal.md
people/sarah-chen/documents/2026-02-04-contract.pdf
If about an organization:
clients/acme-corp/emails/2026-02-04-partnership.md
If about a project:
projects/rebrand/documents/2026-02-04-brief.md
If no entity linked:
general/documents/2026-02-04-misc.md

Examples

Email

User: "Here's an email from Chris about the partnership terms. Save it."
claudia memory document store \
--filename "2026-02-04-chris-lang-partnership.md" \
--source-type "gmail" \
--summary "Chris Lang re: partnership terms and next steps" \
--about "Chris Lang" \
--project-dir "$PWD" < email.md
Response:
"Filed Chris's email about partnership terms.
Saved to: people/chris-lang/emails/2026-02-04-partnership.md
You can find it later by asking about Chris's documents."

Research

User: "Here's some info I found about competitor pricing. Keep this."
claudia memory document store \
--filename "2026-02-04-competitor-pricing-research.md" \
--source-type "capture" \
--summary "Competitor pricing analysis notes" \
--project-dir "$PWD" < research.md
Response:
"Filed your competitor pricing research.
Saved to: general/documents/2026-02-04-competitor-pricing-research.md"

Contract

User: "Save this contract from Acme Corp"
claudia memory document store \
--filename "2026-02-04-acme-corp-contract.md" \
--source-type "upload" \
--summary "Service agreement with Acme Corp" \
--about "Acme Corp" \
--project-dir "$PWD" < contract.md
Response:
"Filed the Acme Corp contract.
Saved to: clients/acme-corp/documents/2026-02-04-contract.md"

Linking to Memories

If you also extract facts from the document:

  1. File the document first (get document_id from JSON response)
  2. Extract memories using claudia memory save or claudia memory batch
  3. Call claudia memory document store --memory-ids "id1,id2,..." to link provenance

This creates the chain: memory -> document -> file on disk.

Quality Checklist

  • [ ] Full content preserved (not summarized)
  • [ ] Descriptive filename with date
  • [ ] Correct source_type selected
  • [ ] Entities identified and linked
  • [ ] Summary is accurate and searchable
  • [ ] User knows where to find it later

Tone

  • Quick and efficient
  • Confirm what was saved
  • Tell them how to find it later
  • Don't over-explain the system
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