Keyoku

What it does

Most AI memory tools just store and retrieve. Keyoku goes further: auto-recall, auto-capture, knowledge graph, and a heartbeat system that acts on what matters without being asked. Three autonomy levels: observe, suggest, or act. Powered by a local Go engine with semantic search, memory decay, and dedup. TypeScript SDK & OpenClaw plugin.

The harness with muscle memory — Keyoku watches how you work in Claude Code, Cursor, or Codex, learns your patterns, and turns them into one-command workflows - Keyoku

Keyoku watches how you work in Claude Code, Cursor, or Codex, learns your repeated patterns, and turns them into workflows you run with one command. Approve once — never re-explain a process again. One command to install. Works out of the box — no API key required. Add a Gemini or Anthropic key when you want model-refined suggestions. Everything stays on your machine. Claude Code · Cursor · Codex │ ├─ PostToolUse hook ──► activity log (local JSONL) │ │ └─ MCP connection ▼ │ pattern detection │ heuristics find candidates, │ a small model refines them │ │ ▼ ▼ workflow_execute ◄── approved templates │ ├─ bash steps → run directly (timeouts, audit) ├─ agent steps → hand off to your coding agent…from github.com

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