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Output Destinations

Augent pipelines audio from URL to structured notes — download, transcribe, analyze, and format in a single call. The client controls where those results land.

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Obsidian

Augent has a dedicated Obsidian integration with real-time sync. See Obsidian Setup.

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Notion

Tell your agent to format output as a Notion-compatible page and save it somewhere accessible. 
Take notes from this podcast and save them as a markdown file I can import to Notion:
https://youtube.com/watch?v=xxx
Augent’s take_notes tool saves .txt files formatted with headers, bullets, callouts, and tables. Notion imports markdown directly — drag the file into a Notion page or use Import → Markdown in the sidebar. For structured data (search results, transcriptions), use the output parameter to export as .csv or .xlsx, then import into a Notion database.

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Apple Notes

Apple Notes doesn’t support markdown, but it handles plain text and basic formatting. 
Take notes from this interview and save a clean summary to my Desktop:
https://youtube.com/watch?v=xxx
The .txt output from take_notes opens in any text editor. Copy and paste into Apple Notes, or set up a Shortcut to automate it. For bulk workflows, export transcriptions and search results to .csv or .xlsx using the output parameter and import into Apple Notes via the share sheet.

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Logseq

Logseq reads markdown from its graph directory. Point Augent’s output there. 
Take notes from this lecture and save to ~/Documents/LogseqGraph/pages/:
https://youtube.com/watch?v=xxx
Use the output_dir parameter on take_notes to save directly into your Logseq graph’s pages/ folder. Logseq picks up new files automatically. The .txt format with markdown headers and bullets renders natively in Logseq.

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Automation

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n8n

One node triggers Augent’s full pipeline — download, transcription, semantic search, speaker identification, and structured notes. No stitching together separate APIs.
  1. Add an Execute Command node to your workflow
  2. Run a single Augent command:
augent notes "https://youtube.com/watch?v=xxx" --output ~/pipeline/notes.txt
  1. Route the output to the next node in your workflow
For granular control, individual tools are also available: 
augent transcribe /path/to/audio.mp3 --format json --output /path/to/output.json
augent search /path/to/audio.mp3 "open source,self-hosted" --format csv --output /path/to/results.csv
Combine with triggers (new file in folder, webhook, RSS feed) to fully automate content pipelines. Example: new podcast episode drops → Augent handles the full pipeline — download, transcribe, analyze, and format notes — results land in Notion or Obsidian.

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Make

Add Augent as a node in any Make scenario. One trigger kicks off the full audio-to-notes pipeline — the same end-to-end processing available in n8n.
  1. Add a Shell module to your scenario
  2. Run Augent the same way as n8n above
  3. Route the structured output to any of Make’s 1,000+ app connectors

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Export Formats

Every search and transcription tool supports the output parameter for saving results to disk:
FormatExtensionUse case
CSV.csvSpreadsheets, databases, automation pipelines
XLSX.xlsxStyled spreadsheets with bold headers and formatted timestamps
JSON.jsonAPIs, scripts, programmatic access
SRT.srtSubtitles for video editors
VTT.vttWeb video players
Markdown.mdDocumentation, notes apps
{
  "audio_path": "/path/to/audio.mp3",
  "keywords": ["launch date", "pricing"],
  "output": "~/Desktop/results.xlsx"
}
The output parameter works on transcribe_audio, search_audio, deep_search, search_proximity, and search_memory.