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Create code-grounded shared memory for developers and coding agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Kage" yet — see the docs or source repo.
Please turn this debugging session into a Kage memory: the issue was intermittent payment callback timeouts, caused by a mismatch between webhook retry settings and Nginx timeouts. Generate a structured memory entry with the conclusion, relevant code locations, supporting citations, and recommended checks.
A structured Kage memory draft with code citations and a checklist.
Based on the existing Kage memories in this repository, tell the coding agent which team conventions must be followed when adding a new API endpoint. Focus on naming conventions, auth middleware, error code format, and testing requirements, and cite the source of each memory.
A topic-based summary of team conventions with traceable source citations.
Review Kage memories related to the user authentication module and identify which ones may be stale due to recent code changes. For each memory, list the staleness risk, affected files, and what should be updated or withdrawn in the PR.
A stale-memory review report to help the team update or retire outdated knowledge.
Give AI coding agents searchable local project memory with safe structured updates.
Provide Git-native project memory for AI coding agents with safe, reviewable context.
Give AI coding agents persistent cross-session memory for project knowledge.
Give AI coding agents verifiable local memory that reduces repeated mistakes.
Gives AI coding assistants team memory, decision tracking, and pre-commit conflict alerts.
Give AI coding agents persistent memory across sessions for people, decisions, and context.