Do I need an external account to use this?

Yes, you need an Ensue API key and a username, which can be obtained from the Ensue Network dashboard.

How does the skill know when to save a memory?

The skill listens for specific natural language triggers such as 'I prefer,' 'Don't do X,' or identity statements like 'My name is,' as well as architectural decisions made during the session.

What is Ensue Auto-Memory?

It is a specialized skill for Claude Code that automatically saves and retrieves user preferences and project context across different terminal sessions using the Ensue API.

Can I update or change saved memories?

Yes, the skill is designed to detect when a preference or project context has changed and will use the update_memory function to overwrite old information with new data.

Is my data shared with other users?

No. While the Ensue network hosts multiple users, this skill uses strict namespacing based on your ENSUE_USERNAME to ensure you only ever access your own memories.

Ensue Auto-Memory

Name: Ensue Auto-Memory
Author: christinetyip

bychristinetyip

•

Productivity & Workflow

Enables automatic, cross-session persistent memory for Claude Code to remember developer preferences, corrections, and project context.

About

Ensue Auto-Memory provides Claude Code with a persistent long-term memory layer, allowing the AI to retain critical context like coding styles, architectural decisions, and personal identity across different terminal sessions. By monitoring for specific conversational triggers—such as explicit preferences or workflow corrections—it invisibly captures and stores actionable insights into the Ensue network. This ensures that your AI assistant evolves with your workflow, follows your unique project patterns, and never requires you to repeat the same instructions twice.

Key Features

7 GitHub stars
Semantic search capabilities for discovering relevant past project context
Configurable memory loading limits and relevancy thresholds
Trigger-based saving for corrections and architectural decisions
Automatic cross-session persistence for preferences and identity
Multi-user namespace isolation for secure personal memory management

Use Cases

Maintaining consistent coding standards without repeated manual prompting
Automating the onboarding of AI to specific roles, companies, and timezones
Preserving complex architectural decisions across multi-day development tasks

About

Key Features

7 GitHub stars
Semantic search capabilities for discovering relevant past project context
Configurable memory loading limits and relevancy thresholds
Trigger-based saving for corrections and architectural decisions
Automatic cross-session persistence for preferences and identity
Multi-user namespace isolation for secure personal memory management

Use Cases

Maintaining consistent coding standards without repeated manual prompting
Automating the onboarding of AI to specific roles, companies, and timezones
Preserving complex architectural decisions across multi-day development tasks