Provides hashline-based file editing using line-addressed edits and content hashes for integrity verification. It enables LLMs to perform precise file modifications while ensuring edits are rejected if the file content has changed since the last read.
Provides file read, edit, and write operations with exact-match editing and hash-based consistency checks, designed for models that prefer structured schemas over patch grammars.
Provides bounded repository context and edit-grant MCP tools to coding agents such as Codex, indexing local repositories and enabling fingerprint-checked patch application.
Enables AI coding agents and hosts to enforce deterministic repository boundaries via MCP, providing structured reads, supervised edits, snapshots, audits, and recovery with machine-readable evidence.
Snapshot-based file editing for AI agents. Enables safe file edits by sending only new content against immutable, content-addressed snapshots with 3-way merging and ambiguity protection.
