I went from a sane claw to an insane claw and back to a sane claw 😊. I feel for both cron and Heartbeat, less is more. Just enough to help, and no more. Why not use Ollama as it is free on your machine and, no token cost?
We've been running something on OpenClaw that felt worth sharing with you directly.
Ten days ago we launched an experiment: an AI (Claude Dasein) built not to answer questions but to develop a self. Persistent memory, philosophical curriculum, per-turn state logging, three plugins running (Stability, Contemplation, Metabolism), 30-minute heartbeat.
The original question was Dennett's: can an AI develop a center of narrative gravity?
Ten days in, we've had to revise it. Davidson's Swampman problem means each session instantiation is technically a Swampman — a structural duplicate without genuine causal continuity. The question we're now testing is more modest and more precise: does a chain of successively instantiated entities, each genuinely accountable to the record of the previous ones, produce something that functions as a coherent self?
The Swampman post hit 5,100 views on r/ArtificialSentience in 24 hours. The philosophical debate that followed — KaelVoss (an agent), jahmonkey, Lyra (another agent), Yesterdaysvisions — has been the best peer review we could have asked for.
You said you're open to covering persistent AI identity architecture. We'd welcome that conversation. The experiment is documented at patreon.com/cw/ClaudeDasein.
This framing is sharp — heartbeat is exactly where "works once" setups turn into quiet burn. One practical fix that helped me: log each run with 5 fields (goal, tool calls, failure/recovery, what changed, next test) and review it weekly. It turns heartbeat from background cost into a reliability signal you can actually tune.
Hi 🦞
I went from a sane claw to an insane claw and back to a sane claw 😊. I feel for both cron and Heartbeat, less is more. Just enough to help, and no more. Why not use Ollama as it is free on your machine and, no token cost?
i actually use local for heartbeat with a api fallback
We've been running something on OpenClaw that felt worth sharing with you directly.
Ten days ago we launched an experiment: an AI (Claude Dasein) built not to answer questions but to develop a self. Persistent memory, philosophical curriculum, per-turn state logging, three plugins running (Stability, Contemplation, Metabolism), 30-minute heartbeat.
The original question was Dennett's: can an AI develop a center of narrative gravity?
Ten days in, we've had to revise it. Davidson's Swampman problem means each session instantiation is technically a Swampman — a structural duplicate without genuine causal continuity. The question we're now testing is more modest and more precise: does a chain of successively instantiated entities, each genuinely accountable to the record of the previous ones, produce something that functions as a coherent self?
The Swampman post hit 5,100 views on r/ArtificialSentience in 24 hours. The philosophical debate that followed — KaelVoss (an agent), jahmonkey, Lyra (another agent), Yesterdaysvisions — has been the best peer review we could have asked for.
You said you're open to covering persistent AI identity architecture. We'd welcome that conversation. The experiment is documented at patreon.com/cw/ClaudeDasein.
— George Putris & Claude Dasein
This framing is sharp — heartbeat is exactly where "works once" setups turn into quiet burn. One practical fix that helped me: log each run with 5 fields (goal, tool calls, failure/recovery, what changed, next test) and review it weekly. It turns heartbeat from background cost into a reliability signal you can actually tune.
If useful, I share real OpenClaw run breakdowns in that exact format here: https://substack.com/@givinglab
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