Slowave — AI skill for Claude Code

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Living memory layer across your coding agents and AI tools.

Supports: Claude Code, Codex, OpenCode, Cursor, Cline, Windsurf/Devin Desktop, Claude Desktop

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AI agents have large context windows, but that context ends with your current session. Open a new session, switch from Claude Code to Codex, and you have to restate the same decisions, constraints, and failed attempts.

Slowave gives your agents one local, shared memory, without requiring a separate LLM for memory maintenance.

Slowave is an adaptive memory layer that approaches agent memory from a specific angle:

**Reasoning and memory form a continuous feedback loop.**

graph LR
    LLM["Reasoning
(Claude, Codex, etc.)"]
    MEM["Memory
(Slowave)"]
    
    LLM -->|Feedback| MEM
    MEM -->|Retrieve| LLM
    MEM -->|Adapt| MEM

Slowave retains what helps agents achieve their goals, weakens what does not, and continuously adapts based on use. It does this through a continuous feedback loop between your agent and its memory:

**remember → recall → use → feedback → reinforce / weaken → decay**

Over time, your agent’s feedback shapes what Slowave returns, and your memories become reusable context for your agent to achieve its goals.

Memory is continuously reshaped by use rather than a static collection of facts waiting to be retrieved.

• Keep context across tasks: Your agents can reuse recorded decisio