diff --git a/README.md b/README.md
index 341bd5676..7ff660b4a 100644
--- a/README.md
+++ b/README.md
@@ -258,7 +258,7 @@ Set up a custom search API and add to your .env file:
 13. Set it as an environment variable named `GOOGLE_API_KEY` on your machine (see how to set up environment variables below).
 14. [Enable](https://console.developers.google.com/apis/api/customsearch.googleapis.com) the Custom Search API on your project. (Might need to wait few minutes to propagate)
 
-Set up a custom serach engine and add to your .env file:
+Set up a custom search engine and add to your .env file:
 15. Go to the [Custom Search Engine](https://cse.google.com/cse/all) page.
 16. Click "Add".
 17. Set up your search engine by following the prompts. You can choose to search the entire web or specific sites.
@@ -472,7 +472,7 @@ Memory pre-seeding is a technique for improving AI accuracy by ingesting relevan
 
 ⚠️ If you use Redis as your memory, make sure to run Auto-GPT with the `WIPE_REDIS_ON_START=False` in your `.env` file.
 
-⚠️For other memory backend, we currently forcefully wipe the memory when starting Auto-GPT. To ingest data with those memory backend, you can call the `data_ingestion.py` script anytime during an Auto-GPT run. 
+⚠️For other memory backends, we currently forcefully wipe the memory when starting Auto-GPT. To ingest data with those memory backends, you can call the `data_ingestion.py` script anytime during an Auto-GPT run. 
 
 Memories will be available to the AI immediately as they are ingested, even if ingested while Auto-GPT is running.