YouTube Video
Build AI agents that remember users, coordinate across tasks, and continue across sessions. View the repo: https://aka.ms/cosmos-travel-planner See all episodes here: https://aka.ms/CodeWithCosmosPlaylist
Marko Hotti and Madeline Egan explore how Azure Cosmos DB provides durable, shared memory for a multi-agent travel planner. Learn how research, hotel, and restaurant agents use the Azure Cosmos DB Agent Memory Toolkit to persist and retrieve preferences, share context, support agent handoffs, and pick up where a user left off instead of starting from a blank slate.
💻 GitHub repo: https://aka.ms/cosmos-travel-planner
▶️ Watch the full series: https://aka.ms/CodeWithCosmosPlaylist
Try Azure Cosmos DB for free: https://aka.ms/trycosmosfree
Marko Hotti and Madeline Egan explore how Azure Cosmos DB provides durable, shared memory for a multi-agent travel planner. Learn how research, hotel, and restaurant agents use the Azure Cosmos DB Agent Memory Toolkit to persist and retrieve preferences, share context, support agent handoffs, and pick up where a user left off instead of starting from a blank slate.
💻 GitHub repo: https://aka.ms/cosmos-travel-planner
▶️ Watch the full series: https://aka.ms/CodeWithCosmosPlaylist
Try Azure Cosmos DB for free: https://aka.ms/trycosmosfree