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Give AI coding assistants persistent local memory with search and knowledge linking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Gingugu" yet — see the docs or source repo.
Store the following project conventions in long-term memory: backend uses NestJS; database fields use snake_case; all external API errors map to unified error codes; frontend component files use PascalCase. Save them under the "architecture standards" namespace and relate them together.
The tool stores structured project standards as long-term memories with links for later retrieval and reuse.
Search our long-term memory for past decisions about authentication and authorization models, prioritizing content related to RBAC, JWT, and multi-tenancy. Summarize which decisions have the highest confidence and which still need confirmation.
The tool returns relevant memories, semantic matches, and a confidence-ranked summary of prior decisions.
Consolidate recently saved debugging findings, API constraints, and pending fixes: merge duplicates, flag conflicting information, add relationships between memories, and produce a current project context summary.
The tool deduplicates and links memories, then generates a clearer overview of the current project context.
Give AI coding agents persistent local shared memory across agents.
Give AI assistants persistent memory with tagged retrieval, links, and source references.
Give AI coding agents searchable local project memory with safe structured updates.
Give AI assistants persistent memory with automatic retrieval and organization.
Give AI coding agents persistent memory across sessions for decisions and bugs.
Provides local persistent memory for coding agents with low-cost context retrieval.