Topic discussion monitoring with a digest to your messenger

The scenario watches discussions on your keywords across a forum and a social network, and the AI sends short digests to your messenger.

  • Searches discussions by keyword
  • Watches a forum and a social network
  • AI makes a short digest
  • Answers and breakdowns in your messenger
MongoDB Chat Memory
Set it upScriptera

How it works

To connect Slack and MongoDB Chat Memory, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: Schedule Trigger
  2. Then: Reddit
  3. Then: Get Only Search Result1
  4. Check: Merge Sources1
  5. Then: Wrap as Data Object2
  6. Then: Set Memory ID Session
  7. Then: AI Summarizer Overview
  8. Then: Clean and Chunk
  9. Then: Send Auto Reply
  10. Then: n8n Community Fetch
  11. Then: Get Only Search Result2
  12. Then: Structured Output Parser
  13. Then: MongoDB Chat Memory
  14. Then: If Reddit?
  15. Then: Get Post Content
  16. Then: Comment
  17. Then: Get Comment
  18. Then: Comment Summary 1
  19. Check: Merge Link Content
  20. Then: Wrap as Data Object
  21. Then: AI Summarizer Deep-dive
  22. Then: Format for Telegram Output
  23. Then: Send reply
  24. Then: Call 'Auto-post Facebook "The n8n Insider"'
  25. Then: If n8n Community?
  26. Then: Get Topic Content
  27. Then: Get Comment1
  28. Then: Comment Summary 2
  29. Check: Platform?
  30. If yes: n8n Community Fetch JSON
  31. Then: Get Only n8n community Search Result
  32. Check: Merge Search Result
  33. If yes: Has keyword?
  34. If yes: Reddit Search page JSON (no keyword)
  35. Then: Get Only Reddit Search Result
  36. If no: Has time?
  37. If yes: Reddit Search page JSON (has time)
  38. If no: Reddit Search page (no time)
  39. Then: MongoDB Chat Memory1
  40. Then: MongoDB Chat Memory2
  41. Then: Google Gemini Chat Model1
  42. Check: Open link Reddit or n8n Comunity?
  43. Then: MongoDB Chat Memory3
  44. Then: Clean and Chunk2
  45. Then: Send reply1
  46. Starts when: Telegram Trigger - User Message
  47. Then: Detect User Intent
  48. Check: Branch by Intent
  49. If yes: Send a text message
  50. If no: Send a text message1
  51. If no: AI Summarizer Clarify
  52. Then: Send Typing Action
  53. Then: Google Gemini Chat Model jaynguyena01
  54. Then: Groq Chat Model1
  55. Then: Groq Chat Model

You can launch this Slack + MongoDB Chat Memory integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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