Glia

AI assistantCodingData

GLIA is a persistent memory tool designed specifically for AI coding agents and browser chat assistants like Claude, Cursor, ChatGPT, and Windsurf. It provides a shared, local database memory that eliminates the need for cloud storage or subscriptions, enabling AI assistants to remember information persistently and improve their coding assistance capabilities.

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May 2026

AI assistant, Coding

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Pros and cons

Pros

Local-first architecture ensures data privacy and offline accessibility
Shared memory bridge allows context to persist across different AI tools
Eliminates the need for recurring cloud storage subscriptions for memory
Reduces context-window fatigue by storing long-term project information locally

Cons

Requires manual integration or setup with specific browser/IDE assistants
Local-only storage prevents automatic synchronization across multiple devices
Performance and retrieval speed may depend on local hardware specifications
Users must verify ongoing compatibility with frequently updated AI agent APIs

FAQ

How does Glia handle data privacy compared to cloud-based AI memory?

Glia utilizes a local database memory system, meaning your data stays on your machine rather than being uploaded to a third-party cloud. This approach is designed for developers who need persistent context for their AI coding agents but want to maintain control over their project data and avoid the privacy risks associated with external storage or subscription-based cloud services.

Which AI assistants can I use with Glia's persistent memory?

Glia is designed to work with a variety of popular AI tools, including browser-based assistants like ChatGPT and Claude, as well as specialized coding environments like Cursor and Windsurf. By providing a shared memory layer, it allows these different agents to access the same persistent information, ensuring a more cohesive experience when switching between different AI development platforms or chat interfaces.