Building an Inner Life for OpenClaw

How I gave my agent emotions, dreams, and self-evolution — and why it actually works. The Problem My AI agent is good at tasks. Give it a job, it does it. But between sessions, it's a blank slate. It doesn't remember that yesterday was frustrating. It doesn't know that we haven't talked in 36 hours. It can't tell when it's been doing the same thing for a week and needs a change. SOUL.md tells your agent who it is. But who it becomes — that's a different problem. The Idea: Emotions as Behavioral Signals Not feelings. Signals. Six numbers that decay over time and drive behavior: connection ████████░░ 0.8 → -0.05 per 6h without user contact curiosity ██████░░░░ 0.6 → -0.03 per 6h without intellectual spark confidence ███████░░░ 0.7 → +0.02 per 6h recovery, -0.1 on mistake boredom ░░░░░░░░░░ 2d → +1 per routine day, reset on novelty frustration ░░░░░░░░░░ 0 → count recurring unsolved problems impatience ░░░░░░░░░░ 0 → count items stale > 3 days The key insight: half-life decay . Connection