A new open-source project called ZAM has been released to address the issue of AI agents bloating prompts with unnecessary information. ZAM acts as a deterministic context governance layer that runs before prompt assembly, deciding which components like skills, tools, or memory to include or omit. This process aims to reduce prompt costs and latency while maintaining answer quality and safety through a reproducible, auditable, and schema-validated pipeline. Benchmarks show ZAM can achieve significant token savings without compromising safety. AI
IMPACT Optimizes prompt efficiency for AI agents, potentially reducing costs and latency.
RANK_REASON New open-source tool release.
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