Show HN: Agent harness that turns errors into shared genes

Category: ai-ml

Tags: ai-agents, error-recovery, agent-evolution

Score: 6.8/10 (Innovation: 7, Technical: 6, Documentation: 8, Utility: 6)

Prismer Cloud is an AI agent harness that enables cross-session learning by turning errors into shared strategies ('genes') using Thompson Sampling with Hierarchical Bayesian priors. It's interesting because it provides a unified infrastructure layer for reliable context, error recovery, persistent memory, and community-driven evolution for long-running agents.

Target audience: backend devs, ai engineers, devops

Repository: https://github.com/Prismer-AI/PrismerCloud · TypeScript · MIT · 1118 stars

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