ai-memory is a persistent memory system for AI coding agents that enables continuity across different agent vendors and CLI sessions.
The tool solves the problem of context loss when switching between different AI coding agents or interrupting and resuming work. Rather than re-explaining project architecture, failed approaches, and open questions each time, ai-memory stores agent state and reasoning in a structured format that persists across sessions. This allows developers to pause work with one agent vendor and seamlessly continue with another, or resume the same agent later without losing accumulated context.
Developers should adopt this tool if they work with multiple AI coding agents or frequently interrupt and resume coding tasks. It suits projects where maintaining continuity across agent handoffs is valuable, particularly in exploratory development or when comparing different agent capabilities on the same codebase. The README positions it specifically for scenarios like quitting Claude Code mid-task and continuing with OpenAI Codex in the same directory without repeating explanations.
The project responds to issues and pull requests within a day. Development activity centers on enhancements and bug fixes. The project is growing steadily.
