Building JoyMux · Local Agent Runtime: Local Agent Runtime so agent have a stable environment

Hi Product Hunt! 👋 I’m Joy, creator of JoyMux. I built JoyMux out of sheer necessity. I run multiple AI coding agents every day on my Mac, and my system was constantly jammed—high memory pressure, duplicated context, frozen terminals, and frequent crashes that forced full re-runs (and doubled my API bills). JoyMux is a local execution runtime and control layer that sits underneath the AI agents you already use—including Codex, Claude Code, Gemini CLI, OpenCode, Aider, Goose, and Continue. Key Capabilities: Hard-Reset & Instant Recovery: When an agent crashes, JoyMux lets you hard-reset to the last valid checkpoint and replay durable event logs without losing state or starting over. Zero-Loss Agent Handoffs: If a primary agent hits a wall or fails, a secondary agent can immediately step into the exact local context stream and continue the work. Token Optimization: By shaping context locally and cutting redundant retries, JoyMux dramatically reduces wasted token usage. Persistent Daemon: Sessions survive UI closes, system detaches, or terminal crashes. Your agents keep working in the background. Multi-Agent Lanes: Run concurrent agent harnesses on the same macOS or Linux machine without resource pile-ups. It runs completely locally on your computer with no IDE lock-in. I’d love to hear your feedback, answer any technical questions about local execution layers, or hear how you manage local agent workflows!