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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.

read1 min views1 publishedSep 14, 2026
Slowave adds adaptive memory layer for AI agents across sessions
Image: Getreadyforagents (auto-discovered)

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.

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