A solution for long-term memory in AI coding CLIs, enabling seamless handoff between different agent vendors.
Last Updated Oct 19, 2026
About
ai-memory is an open-source solution designed to provide long-term memory for AI coding command-line tools (CLIs). It addresses the issue of losing context when switching between sessions or different AI vendors, allowing developers to seamlessly transition between various AI agents without losing important information.
Key Features
Persistent Storage: Saves AI conversation and decision history to local or remote storage for cross-session memory.
Vendor Agnostic: Built to be compatible with multiple AI agent vendors, facilitating easy switching without memory loss.
Easy Integration: Offers a simple API and command-line interface for quick integration into existing workflows.
Manual Management: Allows users to view, edit, or delete stored memories, ensuring data control.
Pricing & Fees
- Increased Efficiency: Reduces the need to re-explain context, enabling AI to quickly understand project background.
- Flexibility: Supports switching from one AI agent to another without losing critical information.
- Open Source and Free: Fully open code, customizable and self-hostable.
- Privacy-Friendly: Users have full control over their data, with options for local or self-hosted storage.
Who It's For
Ideal for developers using AI coding assistants (such as GitHub Copilot, Codex, etc.), especially professionals who work across multiple projects or tools and require long-term contextual memory. Also beneficial for teams that want to share project memory to enhance overall development efficiency.
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