Slowave adds adaptive memory layer for AI agents across sessions

Slowave, a GitHub project, has added an adaptive memory layer that stores codebase decision context across AI agent sessions, addressing the loss of context when agents open a new session or switch tools. The project states the memory layer works across Claude Code, Codex, and other agent tools, so users do not have to restate earlier context.

Slowave adds adaptive memory layer for AI agents across sessions Slowave, a GitHub project, addresses the problem that AI agents lose context between sessions by providing a living local memory layer. According to the project repository, agents with large context windows lose that context when opening a new session or switching tools, requiring users to restate earlier context. Slowave stores adaptive memory for codebase decision context across Claude Code, Codex, and other agent tools. Topics Sources - Official Read article https://github.com/slowave-ai/slowave Go deeper This intelligence is sourced automatically from public sources across the web and synthesised by the Prefactor AI pipeline. Stories are reviewed before publication.