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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.
Store coding history, decisions, and fixes for AI agents in your repo.
Keep persistent project memory for coding agents with a compact repo digest.
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Build local codebase memory for AI agents with search and architecture inspection.
Give AI coding agents persistent semantic memory with embedding-based retrieval.