Context Engine
Shared memory for AI tools and teams that preserves project knowledge across sessions, applications, and collaborators.
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Product Overview
What is Context Engine?
Context Engine provides a persistent knowledge layer for AI tools and the people working with them. It connects to applications such as ChatGPT, Claude, Claude Code, and Cursor, allowing them to save and retrieve decisions, contacts, notes, and files. Knowledge is organized into purpose-specific engines with controlled access, helping teams maintain continuity without repeatedly explaining their projects. Users can browse the same information, ask source-backed questions, and export their data.
Key Features
Cross-Tool Memory
Share saved knowledge across supported AI tools, with session briefs covering recent activity and changes since a tool's previous visit.
Purpose-Specific Engines
Organize knowledge by project, client, or team, with separate storage and connection-level read or write permissions.
Search and Source-Backed Answers
Retrieve memories through semantic and keyword search, or ask questions in plain language with answers linked to their supporting memories.
Automatic Knowledge Organization
Generate daily, weekly, and monthly summaries, connect related memories, and flag same-name entries to reduce duplicates.
Team Collaboration and History
Let teammates browse shared knowledge, upload files, and track changes with contributor attribution and previous versions.
Open Integrations and Export
Connect custom agents through MCP or HTTP, and export an engine as a ZIP containing Markdown and JSON.
Use Cases
- AI-Assisted Development : Keep architecture decisions, coding conventions, and project requirements available when switching between coding assistants.
- Client Knowledge Management : Maintain separate memories and connections for each client to keep requirements, contacts, and decisions compartmentalized.
- Team Knowledge Sharing : Make discoveries from individual AI sessions accessible to colleagues instead of leaving them buried in private conversations.
- Project Continuity : Resume ongoing work with recent updates and earlier decisions available to both team members and their AI tools.
- Custom Agent Memory : Give internally built agents and scripts a persistent store for saving context and retrieving knowledge across runs.
FAQs
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