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Give AI assistants persistent, searchable memory through an Obsidian-like knowledge system.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mem-agent-mcp" yet — see the docs or source repo.
Please store the following project background, key decisions, and action items in memory, organized as 'project name / decisions / todos' for future retrieval: Project Alpha, decision made to prioritize mobile first, todos include user interviews, prototype review, and analytics planning.
A structured project memory entry that can be queried later by topic or field.
Search the memory system for past records related to 'pricing strategy' and summarize the options discussed, supporting reasons, and final conclusions in chronological order.
A chronological summary of past decisions to quickly restore context.
Using all memory records about 'Client A', generate a context brief for a new session, including goals, known preferences, risks, and recommended next steps.
A concise background brief for a new conversation so the AI can enter the right context quickly.
Connect Obsidian vaults for local-first AI memory search and knowledge management.
Give AI agents persistent memory and semantic retrieval across conversations.
Give AI agents persistent knowledge-graph memory and cross-session retrieval.
Provide shared memory for Claude across apps with sessions, handoffs, and artifacts.
Automatically stores technical knowledge and retrieves relevant context across future AI sessions.
Helps AI agents manage a structured Markdown or Obsidian knowledge vault.