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adenhq/hive: Outcome driven agent development framework that evolves

Hive frames agent development as outcome-driven and iterative: define goals, generate a graph, run it, capture failures, and evolve the agent based on what breaks. I like that it’s trying to be production-oriented (human-in-the-loop nodes, credentials, monitoring, cost controls) instead of yet another “chain some tools” demo framework. The “self-improving” angle matters most if the failure data is actually actionable and you can keep the evolution process auditable. It’s also notable they explicitly target coding-agent workflows (Claude Code/Cursor/OpenCode) as the interface for building and debugging. This feels like an attempt to turn agent-building into a maintainable system, not a pile of prompts.

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