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Securely give AI agents cross-session memory, context retrieval, and task continuity.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "XMemo" yet — see the docs or source repo.
Save these repo conventions to XMemo: backend uses TypeScript, API responses must use camelCase, and lint plus unit tests are required before commits. Use these preferences first when helping me continue this project later.
The tool stores the project conventions and later returns guidance aligned with them.
Retrieve my saved memory from XMemo about yesterday’s payment module refactor, including completed work, todo items, key design decisions, and open risks, then turn it into a brief for continuing development.
A structured task brief is produced so the user can seamlessly continue yesterday’s work.
Query XMemo for my usual coding style and architectural preferences, such as error handling, logging rules, folder structure, and testing habits, then generate starter recommendations for a new service based on them.
It returns a summary of relevant personal preferences and recommends a scaffold or implementation approach that matches them.
Give AI agents persistent memory with retrieval and relevance ranking.
Save and reuse AI memory across platforms for more consistent workflows.
Give AI agents local long-term memory with private hybrid retrieval.
Provide a shared persistent memory layer for coding agents across tools.
Give AI coding agents persistent local shared memory across agents.
Provide isolated namespaces and persistent memory across multi-user AI sessions.