docs: remove duplicate multimodal page and normalize em/en-dashes (#6112)

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Kartik
2026-07-06 20:22:20 +05:30
committed by GitHub
parent a7ecf781cd
commit b8141aaea8
14 changed files with 74 additions and 340 deletions
+6 -6
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@@ -11,17 +11,17 @@ Adding memory is how Mem0 captures useful details from a conversation so your ag
## Key terms
- **Messages** – The ordered list of user/assistant turns you send to `add`.
- **Infer** – Controls whether Mem0 extracts structured memories (`infer=True`, default) or stores raw messages.
- **Metadata** – Optional filters (e.g., `{"category": "movie_recommendations"}`) that improve retrieval later.
- **User / Session identifiers** – `user_id`, `agent_id`, `app_id`, or `run_id` that scope the memory for future searches.
- **Messages**: The ordered list of user/assistant turns you send to `add`.
- **Infer**: Controls whether Mem0 extracts structured memories (`infer=True`, default) or stores raw messages.
- **Metadata**: Optional filters (e.g., `{"category": "movie_recommendations"}`) that improve retrieval later.
- **User / Session identifiers**: `user_id`, `agent_id`, `app_id`, or `run_id` that scope the memory for future searches.
## How does it work?
Mem0 offers two flows:
- **Mem0 Platform** – Fully managed API with dashboard and scaling.
- **Mem0 Open Source** – Local SDK that you run in your own environment.
- **Mem0 Platform**: Fully managed API with dashboard and scaling.
- **Mem0 Open Source**: Local SDK that you run in your own environment.
Both flows take the same payload and add memories through an additive pipeline.