The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Mason listing page.
Remember why decisions were made · Catch outdated guidance · Find what else needs updating
Install on macOS or Linux:
Windows PowerShell:
No Node or npm required. Git is required. The installer configures PATH for Bash, Zsh, and Windows. Platform details · npm installation
Run this in your Git repository (open a new terminal if the installer asks):
Setup connects MCP, hooks, and project instructions. Review your host's trust settings, start a new session, and give your agent a normal task.
Check that Mason is being used:
Setup uses your installed mason command—no project launch scripts or runtime copies. Status distinguishes configuration from observed use. Setup and upgrades · Disconnect a project · Other MCP clients
The audit checks claims in README and agent instruction files throughout the repository. The review checks committed changes against your chosen base. Both are read-only and need no model calls.
| As your project grows… | Mason helps by… |
|---|---|
| Instructions fall behind the code. | Flagging missing paths, incorrect workspace counts, and missing npm scripts. |
| A patch misses a related update. | Surfacing references, related tests, and files that historically change together. |
| Old decisions lose their context. | Retrieving recorded rationale and review status, and flagging changes to the code they apply to. |
| A repair gets interrupted. | Retaining the original findings and verifying them through the final documentation commit. |
After resolving an incident or settling a constraint, ask your agent to record the reason with Mason. Later tasks can retrieve it. Proposals and accepted decisions stay distinct.
Mason complements tests, linters, and code review. Findings are evidence to inspect; unavailable checks stay explicit.
Earlier read-only decision-retrieval evaluations scored 9.0/10 with Mason vs 7.0/10 without. The initial ten-task patch comparison tied at 10/10 for both. Improved patch outcomes remain to be demonstrated. Results, methodology, and limitations