Savile (System for Agentic Versioning, Intelligence, and Logical Evaluation) offers a high-fidelity, local-first Model Context Protocol (MCP) server designed for storing, versioning, syncing, and evaluating AI agent prompts and skills. By treating agent personas, frameworks, and evaluations as first-class code artifacts, it addresses prompt drift and ensures reproducibility through a Git-native logic bridge. This robust system facilitates collaborative AI development, guarantees deterministic evaluation with its 'Crucible' component, and promotes sovereign development without vendor lock-in, connecting version-controlled logic directly to AI execution environments.
Key Features
01Automated Evaluation (The Crucible) for mathematical grading of logic against thresholds
02Sovereign Development to build AI agent infrastructure without vendor lock-in
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04Local-First Architecture for secure, on-device prompt and logic residency
05Git-Native Logic Storage for versioning and syncing agent personas and frameworks
06MCP Server (Python) for dynamic logic vault broadcasting
