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Give AI coding agents persistent cross-session memory for project knowledge.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codebase-memory" yet — see the docs or source repo.
Store these project conventions in memory: backend uses NestJS, APIs return camelCase fields, the test framework is Vitest, and lint plus unit tests must run before commits.
The tool stores a reusable project conventions record for future coding tasks.
Retrieve the saved architecture memory for this codebase and summarize service boundaries, core module responsibilities, and database conventions.
Returns a summary of stored project knowledge to help the agent understand the current architecture.
Using the previously stored project memory, continue implementing the user permissions module while following existing naming conventions, directory structure, and error handling patterns.
Generates a more consistent implementation or code based on historical memory, reducing repeated explanations.
Provides local persistent memory for coding agents with low-cost context retrieval.
Give AI coding agents searchable local project memory with safe structured updates.
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Build persistent code memory for cross-session analysis, search, and documentation.
Provide Git-native project memory for AI coding agents with safe, reviewable context.
Give coding agents persistent, evidence-backed project memory across sessions.