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Context Engine

Shared memory for AI agents and teams to store and retrieve project context

$12/moStarting price
Context Engine featured image

About Context Engine

Context Engine provides a centralized memory system for AI agents and human team members to store and access project context. AI tools such as ChatGPT, Claude, Claude Code, and Cursor connect to it via MCP and automatically save decisions, notes, people, customers, and files as they work. Each engine is a purpose-built memory space that can be shared among team members or kept private. Memories include metadata such as who saved them and when, and can be searched or queried in plain language. The service organizes content by generating summaries, linking related memories, and preventing duplicates. Users can export memories as Markdown or delete them entirely. Engines can be segmented by project or client, with access controls determining which tools can read or write to each engine.

Key features

  • Connects to ChatGPT, Claude, Claude Code, and Cursor
  • Saves decisions, notes, people, customers, and files
  • Supports file uploads including folders and ZIPs
  • Provides plain-language search across memories
  • Generates daily, weekly, and monthly summaries
  • Offers engine segmentation by project or client
  • Includes access controls for read/write permissions
  • Exports memories as Markdown

Use cases

  • Tracking project decisions across multiple AI tools
  • Onboarding new team members with shared context
  • Maintaining client-specific project memory

Pros

  • Hosted service with no local installation required
  • Supports multiple AI tools via MCP standard
  • Allows team-wide access to shared project memory
  • Enables export of memories in Markdown format
  • Organizes content automatically with summaries and links

Cons

  • No free tier beyond the initial Free plan
  • Enterprise plan requires annual licensing
  • Memory limits apply per engine
  • Requires email sign-in without password option

Frequently asked questions about Context Engine

What is Context Engine and how does it work?

Context Engine is a centralized memory system that allows AI agents and human team members to store and access project context. AI tools like ChatGPT, Claude, and Cursor connect to it via MCP and automatically save decisions, notes, people, customers, and files as they work. Each engine is a purpose-built memory space that can be shared or kept private, with memories searchable in plain language.

Who should use Context Engine?

Context Engine is designed for teams and individuals who use AI tools like ChatGPT, Claude, or Cursor and want to maintain continuity across sessions. It benefits project teams, developers, and consultants who need to preserve context, decisions, and files in a shared or segmented memory system.

How do I connect my AI tools to Context Engine?

Connecting AI tools to Context Engine is done through MCP. For example, with Claude Code, you run a single command like 'claude mcp add --scope user --transport http ce-invoicing https://app.contextengine.com/mcp/c/k7f2q9'. Other tools like ChatGPT, Claude, and Cursor can be connected with a few clicks.

Can I control access to different engines in Context Engine?

Yes, Context Engine allows you to segment engines by project or client and set access controls. You can specify which tools can read or write to each engine, ensuring that only relevant team members or tools have access to specific memories.

How does Context Engine organize and maintain memories?

Context Engine automatically organizes memories by generating summaries, linking related memories, and preventing duplicates. It keeps memories structured without manual sorting, ensuring that past context remains useful and accessible for both team members and AI tools.

Can I export or delete memories in Context Engine?

Yes, you can export all memories as Markdown at any time. Additionally, you have the option to delete memories entirely if needed. Memories can also be moved between engines without losing their history.

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