I built a "brain" for AI coding agents — it never forgets and never stops

I got tired of re-explaining context to my AI every single prompt. It forgets what it did 5 minutes ago. It stops after one step and waits. You end up babysitting it more than coding yourself. So I built Long-Horizon — a skill that turns any AI coding tool into an autonomous agent with a persistent graph memory. Every decision, lesson, and pattern becomes a node. Nodes connect via typed edges (leads_to, caused_by, learned_from). Over time, the AI builds a web of project knowledge it can traverse for context. ┌─────────┐ ┌────│ ROOT │────┐ │ │(project)│ │ ▼ └─────────┘ ▼ ┌────────┐ ┌────────┐ │decision│─leads─▶ │ task │ │"Use JWT"│ │"Build │ └───┬────┘ │ API" │ │ └───┬────┘ ▼ ▼ ┌────────┐ ┌────────┐ │ lesson │◀─related─│pattern │ └────────┘ └────────┘ Real-time cyberpunk visualization that shows the brain growing as the AI works: No vector DB. No cloud. No API keys. Pure Node.js, filesystem only. Works offline. One command installs for your tool: npx long-horizon init npx long-horizon adapt cursor # or: windsurf, claude, aider, codex, all Also ships an MCP server with 11 tools for direct AI integration. Once installed, you don't need to say "use Long-Horizon" or prefix your prompts. The AI reads the skill file and operates autonomously by default. Just talk normally: Build a user dashboard with charts and dark mode. The AI loops until done. npx long-horizon init Would love feedback. What would make this more useful for your workflow?