ArcGrav: a prompt-native cross-model agent control language to cut token overhead
ArchitecturalGravity · reddit · 2026-11-12
The Architectural Gravity project tackles an underexplored problem in LLM-agent workflows: how much model effort is spent reconstructing task structure from natural-language instructions instead of reasoning and executing.
Its core, ArcGrav, is a prompt-native, cross-model Agent Control Language using named contexts, symbolic references, priority lists and structured operations. It requires no pre-training, external runtime, parser or model-specific integration.
- Expected gains: lower token cost, less interpretive ambiguity, more consistent execution, less drift across context windows
- Repo components: ArcGrav spec + reusable agentic patterns, AgStudio local editor with syntax highlighting and diagnostics, AgMark benchmarking app for controlled prompt-representation comparisons, and ongoing research on model-native structural representation
- A Unicode character-assembly example demonstrates the full Blueprint/Factory/Constraint workflow
Related event: ArcGrav introduces cross-model agent control language to cut token costs(2 posts)→
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