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Slowave

local adaptive memory for coding agents. A living local memory layer for your coding agents and AI tools. I started building Slowave because I kept running into the same problem with coding agents: every new session has the codebase and some documentation but not the context behind it, decisions that brought you there and especially the thinking process behind the code.

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  1. I built simple and efficient local memory system for Claude Code

    github.com

    Local-first memory for coding agents. Decisions, bugs, and context stored as Markdown, indexed locally with FTS5 plus optional semantic search. No RAM overhead at idle, no external servers.

    Hacker News6점

  2. An always-fresh memory that learns your repo

    github.com

    so agents stop re-reading

    Hacker News5점

  3. MuscleMemory

    github.com

    procedural memory for coding agents, proven by tests

    Hacker News7점

  4. Built a memory layer that stops AI agents from forgetting everything

    github.com

    Persistent Intelligence Infrastructure for AI Agents

    Hacker News13점

  5. OpenTimelineEngine

    github.com

    Shared local memory for Claude Code and codex

    Hacker News5점