ADRs4AI launches Git-based toolkit for recording human-AI decision reasoning
A new open-source project called ADRs4AI offers a template system, VS Code extension, and iOS app for capturing architecture decision records (ADRs) generated during human-AI collaboration sessions. The toolkit includes seed templates, an inbox protocol, task-runner recipes, and an MCP server so AI agents can query the stored decision history, with records versioned directly in Git.
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The project frames a real workflow problem: reasoning produced in AI chat sessions is typically lost once a session ends, forcing teams to re-derive context repeatedly. By formalizing this as structured, versioned records, the approach could make AI-assisted decision-making more auditable and reusable across a project's lifetime, though its usefulness will depend on whether developers adopt the discipline of maintaining these records consistently.
- ADRs4AI provides a repo starter kit, VS Code extension, and iOS app for managing AI-assisted decision records.
- Records are stored as versioned files in Git, with an MCP server allowing AI agents to query them directly.
- The tool addresses the loss of reasoning context that typically disappears after human-AI working sessions end.
Source: adrs.systems, 2026-10-25
Published there as: “Show HN: ADRs for AI – Deliberation records for human–AI work, versioned in Git”
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