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VISION

Graft is an industrial-grade context governor for coding agents where code structure and causal activity are unified.

mindmap
    root((Graft))
        Policy Integrity
            Read Governance
            Structural Outlines
            Reason-Coded Refusals
        Structural Memory
            WARP Graph
            AST Evolution
            Commit-Level History
        Causal Provenance
            Strand-Scoped History
            Activity Explanations
            Admitted Observations
        Agent-First Legibility
            Versioned Schemas
            Machine-Readable Decision
            Deterministic Replay
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Core Tenets

1. Policy Integrity

A strict read-governance layer that ensures agents consume only what they need. Large files are degraded to structural maps; banned files are refused with explicit, actionable reasons.

2. Structural Memory

A rendering foundation built on WARP (Structural Worldline Memory). Graft tracks the evolution of symbols, files, and relationships across the repository's entire history. Graph reads must never assume the full graph fits in memory — all queries are bounded by traversal scope, tick receipts, or substrate-side filtering. As the graph grows, read cost must stay proportional to the question, not the graph.

3. Causal Provenance

The "why" behind structural changes. Graft tracks observations, stages, and transitions to explain the evolution of the codebase between hard Git checkpoints.

4. Agent-First Legibility

The system is designed to be codable and inspectable by both humans and AI. All outputs are versioned, machine-readable JSON payloads with embedded receipts and schemas.

5. Empirical Governance

Session management and budgets are substrate properties. Graft tightens read caps as the context window fills, ensuring agents remain focused and cost-effective.


The goal is not just smaller reads. It is the geometric lawfulness of the repository as a provenance-aware medium for agentic work.