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Manage persistent agent memories across global or repository-specific scopes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Agent Memory MCP" yet — see the docs or source repo.
Save these development conventions as memory for the current repository: use TypeScript, run tests before commits, and keep API responses in snake_case.
A repository-scoped memory entry is created so future agent runs can follow the project conventions.
List all memories related to deployment for the current repository and summarize them into three action points.
A list of relevant memories plus a concise summary of deployment guidance is returned.
Update the global memory from 'use npm by default' to 'use pnpm by default' and note that the team standardized package management.
The updated global memory is returned, confirming the old rule was replaced with change notes included.
Give AI agents persistent memory and semantic retrieval across conversations.
Provide shared cross-session memory storage, retrieval, and governance for MCP AI tools.
Lightweight vector memory for AI agents to store, search, and delete memories.
Enable AI to manage research memory in Obsidian across sessions.
Give AI agents persistent memory, recall, and context management across sessions
Let AI manage memos through natural language creation, retrieval, editing, and deletion.