Show HN: Bounded Loops and Graphs

Category: ai-ml

Tags: ai-agents, reliability, verification, dag, audit-log

Score: 7.5/10 (Innovation: 7, Technical: 8, Documentation: 8, Utility: 7)

Bounded Loops & Graphs is a Python framework that wraps AI agent loops with independent, verifiable gates and pre-declared bounds, ensuring agents cannot self-certify completion. It provides a hash-chained ledger for auditable runs and supports both single loops and DAG-based graphs with human approvals. This addresses a critical reliability gap in autonomous agent workflows.

Target audience: AI engineers, backend developers, devops

Repository: https://github.com/qualixar/bounded-loops · Python · Apache-2.0 · 4 stars

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