ContextStream FAQs

Name: ContextStream
Author: contextstream

Question 1

What is ContextStream?

Accepted Answer

ContextStream provides universal, persistent AI memory for your code context, decisions, and knowledge across all your AI coding tools and sessions. It acts as your AI's permanent brain, eliminating the need to re-explain your codebase.

Question 2

How is ContextStream different from my AI tool's built-in memory?

Accepted Answer

ContextStream offers a universal memory layer that works across multiple tools (Cursor, Claude Code, VS Code, etc.), persists indefinitely, enables semantic search, supports team-wide context sharing, and provides advanced features like impact analysis and knowledge graphs. Built-in memory is typically vendor-locked, ephemeral, and lacks these advanced capabilities.

Question 3

Which AI coding tools can use ContextStream?

Accepted Answer

ContextStream integrates seamlessly with any Model Context Protocol (MCP) client. This includes popular tools such as Cursor, Claude Code, Windsurf, VS Code (via extensions), and the Codex CLI.

Question 4

Beyond persistent memory, what other capabilities does ContextStream offer?

Accepted Answer

ContextStream goes beyond simple memory storage. It offers semantic code search (by meaning), impact analysis to understand refactoring consequences, a decision history to recall past choices, and a knowledge graph to visualize connections within your codebase and project context.

Question 5

Is my code and data secure with ContextStream?

Accepted Answer

Yes, ContextStream prioritizes your privacy and security. All data is encrypted at rest using AES-256, and your code is never used to train AI models. You maintain control over access via API keys, and enterprise users have a self-hosting option for full data sovereignty.

ContextStream

ContextStream

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Key Features

Use Cases