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Context Engine
Context Engine is a shared memory service where AI tools and human teams store decisions, files, and notes.
Context Engine is a shared memory service for AI agents and human teams. Claude, ChatGPT, Cursor, and Claude Code save decisions, notes, people, and files to it as they work, while team members read it, ask questions, and add files. When a tool starts, it receives a short brief of recent changes and decisions so users do not repeat themselves. Supported tools include Claude, ChatGPT, Cursor, and Claude Code via MCP or HTTP. Users can export data as Markdown or delete engines at any time, with separate databases for each engine.
Context Engine at a glance
- Best for: Software engineer, Product manager, Founder
- Runs on: Web, API, self-hosted
- Pricing: Free plan; Pro $12/month; Unlimited $39/month; Enterprise from $6,000/year
- Released: September 2026
- Category: AI productivity tool
- Website: contextengine.com
Key features
- Connects AI tools via MCP or HTTP
- Stores decisions, notes, and files
- Answers questions in plain words
- Links related memories automatically
- Exports data as Markdown and JSON
- Maintains full change history
- Organizes memories into separate engines
Use it for
- Sharing memory between AI coding tools
- Managing client projects in separate engines
- Answering team questions about past decisions
- Storing customer requests and contact details
Alternatives to Context Engine
- MyContext — Keeps your personal context completely private on your device.
- Context7 — Provides up-to-date documentation for AI agents and code editors.
- ContextWire — Unifies 105 search engines with LLM extraction and zero query cost.
- claude-mem — It shares persistent, searchable agent memory across sessions and devices.
- Context Mode — Saves up to 98 percent of context per session by keeping raw data out of the LLM.
- ContextStream — It maintains project context and history to reduce agent errors.
- ContextPod — Transfers full conversation history between different AI chat platforms.
- ContextMCP — Maintains fresh, accurate context for AI agents using AST-aware chunking.
- ContextQA — Auto-generate tests, heal broken selectors, and catch hallucinations instantly.
- Notion: Context for your agents — Centralizes team knowledge and automates workflows with AI.
- Make0 Brain — Maintains persistent and portable memory across different AI applications.
- Billion Context — Compresses conversation history to run single AI coding sessions for days.
All Context Engine alternatives