Context Storage FAQs

Question 1

What is Context Storage?

Accepted Answer

Context Storage is a high-performance Model Context Protocol (MCP) server that provides persistent multimodal context storage for LLM agents, facilitating seamless context sharing across multiple agents working on the same task.

Question 2

What types of data can Context Storage manage?

Accepted Answer

It supports multimodal context storage, allowing you to store and retrieve both text and images (up to 10MB per image, 100MB total per request) for comprehensive agent memory.

Question 3

How does Context Storage enable context sharing among agents?

Accepted Answer

It utilizes thread-based scoping, allowing multiple LLM agents working on the same task to share and access a common context pool through unique thread IDs, ensuring consistent and relevant information.

Question 4

Is Context Storage compatible with existing AI tools?

Accepted Answer

Yes, it is MCP Standard Compliant, meaning it integrates seamlessly with Claude Code, LangGraph, and any other MCP-compatible client or framework, providing flexible deployment options.

Question 5

What makes Context Storage high-performance?

Accepted Answer

Built for speed, Context Storage leverages SQLite with WAL mode, strategic indexing, and async operations to ensure efficient storage, retrieval, and management of context, even under heavy load.

Context Storage

Context Storage

Key Features

Use Cases

Key Features

Use Cases