Save tokens with Claude Code with this plugin (github.com)

A new Claude Code plugin, known as token-warden, has been introduced to optimize coding agents by ensuring that their "agent memory" is efficient and cost-effective. This plugin requires every rule in the memory to demonstrate a positive return on investment by saving at least twice the tokens it consumes, effectively treating memory management as an engineering challenge. As a result, only verified, beneficial rules persist, leading to measurably reduced costs in future coding sessions. The significance of this development lies in its rigorous, data-driven approach to rule maintenance. Each rule undergoes continuous benchmarking and must consistently prove its value or face eviction. This self-funding and self-auditing mechanism ensures that coding agents evolve over time, becoming more efficient as they learn from past sessions without incurring overhead costs. The structured four-stage optimization loop enables systematic data collection and analysis, maintaining cost efficiency while minimizing session interruptions. This plugin not only advances economic considerations in AI/ML development but also sets a precedent for more disciplined memory management in AI systems.