Context Engine

One shared memory for a person's AI tools and team: Claude, ChatGPT, Cursor and Claude Code save decisions, people and files to it over MCP and read them back next session

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What is Context Engine?

Context Engine is the memory your AI tools and your team share. Connect ChatGPT, Claude, Claude Code or Cursor once, and as they work they save decisions, people, customers and files into it; the next session starts with all of that, and anyone on your team reads the same memory.

Memory is organised into engines, each with a stated purpose and its own access rules, so a client's decisions never cross into another client's engine. Every engine gets its own database and search index, people are free on every plan, and you pay per engine — never per person.

Key features

  • Shared memory for ChatGPT, Claude, Claude Code and Cursor over MCP
  • Engines with a purpose — one per person, client or project, with walls between them
  • Plain-language questions answered with named source memories
  • Daily and weekly summaries written from what was saved
  • Duplicate detection and full history on every memory
  • Export any engine as a ZIP of Markdown and JSON, any time

Pros

  • Stops re-explaining the same project to every tool, every session
  • People are free on every plan
  • Export as Markdown any time — your memory stays yours
  • Content is never used for training

Cons

  • Hosted service — your memory lives on Context Engine's servers, with an EU option at setup
  • How much memory an engine holds depends on the engine's plan

Context Engine at a glance

PricingFreemium
CategoryAutomation & Agents
Platformsweb
CompanyRelote
Best forPeople and teams whose AI tools need to share decisions, clients and project memory
Official websitecontextengine.com
agent memoryMCPteam memoryshared contextAI tools

How to choose the right Automation & Agents tool

Automation and agent tools promise to do work for you, so judge them on reliability before cleverness. Map the exact workflow you want to automate, then check the tool's integrations cover every app in that chain — one missing connector breaks the whole flow. Look for clear triggers, sensible limits, and logs you can read when something goes wrong, because something eventually will. For agents that act on your behalf, approval controls matter: you should be able to review messages, purchases or changes before they happen, especially at the start. Pricing usually scales with runs or tasks, so estimate your monthly volume honestly. Start with one low-risk workflow, measure the time it truly saves, and expand from there.

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Context Engine FAQs

What is Context Engine?

Context Engine is the memory your AI tools and your team share. Connect ChatGPT, Claude, Claude Code or Cursor once, and as they work they save decisions, people, customers and files into it; the next session starts with all of that, and anyone on your team reads the same memory.

What are the main features of Context Engine?

Context Engine offers Shared memory for ChatGPT, Claude, Claude Code and Cursor over MCP, Engines with a purpose — one per person, client or project, with walls between them, Plain-language questions answered with named source memories, Daily and weekly summaries written from what was saved, Duplicate detection and full history on every memory and Export any engine as a ZIP of Markdown and JSON, any time.

How much does Context Engine cost?

Context Engine follows a freemium model: a free tier is available, and paid plans unlock higher limits and advanced features. Check its official website for current plan prices.

What are the pros and cons of Context Engine?

Strengths of Context Engine include Stops re-explaining the same project to every tool, every session; People are free on every plan; Export as Markdown any time — your memory stays yours. On the downside, Hosted service — your memory lives on Context Engine's servers, with an EU option at setup; How much memory an engine holds depends on the engine's plan.