# Memory & Vector — Agent Architecture Layer

> Storage layers for agent context, embeddings, and retrieval

2 tools mapped to this layer of an AI agent architecture.

This is one layer of an [AI agent architecture](https://www.frameworkr.ai/blog/what-is-an-ai-agent-architecture.md), not a standalone product category. Design the blueprint first, then pick tools.

- [Pinecone](https://www.frameworkr.ai/tools/pinecone.md): Managed vector database built for production-scale semantic search and agent memory
- [Chroma](https://www.frameworkr.ai/tools/chroma.md): Open-source embedding database — the fast path from prototype to local vector search


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_Frameworkr — https://www.frameworkr.ai_