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Persist and retrieve searchable cross-session memories for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agent-memory-mcp-server" yet — see the docs or source repo.
Write the following into memory under namespace=customer-support: user ID U123, preferred language Chinese, product plan Enterprise, with tags preference, language, and plan.
Returns a saved memory record including namespace, key-value content, and related metadata.
Search memories related to "API rate limiting strategy" in namespace=project-alpha, return the top 5 by relevance, and summarize key conclusions useful for current development.
Returns a list of matching memories and a short summary to quickly restore project context.
Read the last saved task state, completed steps, and pending items from namespace=research-bot, then continue with the next research step accordingly.
Returns the restored task state and recommended next actions to continue based on memory.
Store and query namespaced key-value memory for persistent agent context.
Manage persistent agent memories across global or repository-specific scopes.
Give AI agents persistent memory, retrieval, and context management across conversations.
Give AI agents persistent memory and semantic retrieval across conversations.
Enable AI assistants to store, search, and manage persistent semantic memories.
Give AI agents persistent memory, shared reasoning, and auditable collaboration.