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Store and retrieve persistent AI memories across sessions with contextual search.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MemoryClaw" yet — see the docs or source repo.
Use MemoryClaw to store this user's long-term preferences: prefers concise replies, uses the team plan, and is in UTC+8. In future sessions, retrieve relevant memories first and answer accordingly.
The tool stores user preferences and recalls them in later sessions to produce more consistent, personalized replies.
Save this project memory to MemoryClaw: backend uses FastAPI, database is PostgreSQL, authentication uses JWT, and we are currently fixing a payment webhook issue. Next time I mention this project, retrieve and summarize the relevant context first.
The tool persistently stores project details and later returns relevant technical background and progress summaries.
Store the key details from this research session in MemoryClaw: the topic is comparing open-source vector databases, focusing on performance, scalability, licensing, and ecosystem. In a new session, retrieve these memories first before continuing the analysis.
The tool preserves the research topic and evaluation framework so later sessions can quickly resume and deepen the comparison.
Store durable memory in a GitHub-hosted Obsidian vault via markdown tools.
Share persistent memory across AI sessions to improve continuity and collaboration.
Enable persistent memory across Claude Code sessions for preferences, notes, and skills.
Provide governed shared memory, permissions, and auditability for AI agents.
Give Claude Code persistent cross-device memory with semantic recall and self-maintenance.
Persist, search, and reinject context across Claude Code sessions.