$ loading_
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.
Provide persistent, categorized memory storage and retrieval for AI agents.
Give AI assistants a persistent, searchable memory layer and context management.
Give AI agents persistent memory and semantic retrieval across conversations.
Manage durable project memory in AGENTS.md for AI agents.