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Weftgate 0.2 Brings Local Context, Memory, and Code Verification for AI Coding Agents

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Weftgate 0.2 is a locally run Python package designed to give AI coding agents more precise, relevant project context instead of large, unfocused code dumps. The tool offers three core functions: generating structured source-location cards, storing repository-scoped decision notes in a local SQLite database, and running checkpoint verifications against configured test commands. Memory notes are tied to file hashes and hidden if the referenced files change, ensuring agents are not misled by outdated information. The package integrates with editors including Codex, Claude Code, Cursor, and Antigravity via CLI and MCP, with no API keys or embedding downloads required. The release is backed by 199 local tests and approximately 91% line coverage, though the developer notes that not every editor build has been interactively certified.

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Weftgate 0.2 Brings Local Context, Memory, and Code Verification for AI Coding Agents · ShortSingh