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Give AI agents persistent memory, retrieval, and context management across conversations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mem0-agent-memory" yet — see the docs or source repo.
Use mem0-agent-memory to save these long-term memories for user Zhang Min: prefers Chinese communication, wants order updates by email, and is focused on refund progress. Then retrieve memories related to communication preferences and summarize them.
Returns the stored memory records and a summary of retrieved communication preference memories.
Write these project memories into mem0-agent-memory: backend uses FastAPI, code style follows black, test framework is pytest, and database is PostgreSQL. Then query memories related to the test framework and code style.
Outputs confirmation of successful storage and matching results for the project's technical conventions.
Use mem0-agent-memory to save key context for the research topic 'evaluation methods for generative AI,' including common metrics, major paper authors, and hypotheses to validate. Then search for 'evaluation metrics' and list the most relevant memories.
Provides the stored research context and returns the most relevant memories about evaluation metrics.
Give AI agents persistent memory, shared reasoning, and auditable collaboration.
Give AI agents persistent memory and semantic retrieval across conversations.
Manage persistent agent memories across global or repository-specific scopes.
Give AI agents persistent memory, recall, and context management across sessions
Enable AI assistants to store, search, and manage persistent semantic memories.
Store and query namespaced key-value memory for persistent agent context.