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Provide persistent memory for AI tools across clients with saved notes.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Taproot" MCP server from askskill: Run: claude mcp add --transport http 'com-taproothq-taproot' 'https://connect.taproothq.com/mcp'
Save the following project context to Taproot so I can reuse it across different MCP clients: project name is "Smart Support Revamp," goal is to raise first-response accuracy to 85%, and the current stack is Node.js, PostgreSQL, and Claude.
The tool saves a project note or memory entry that can be recalled in future sessions.
Retrieve my previously saved decision notes about the "pricing page redesign" from Taproot, summarize them into key points, and label confirmed versus pending items.
Relevant past notes are returned and organized into a clear decision summary.
Load my writing preferences saved in Taproot and follow them throughout this conversation: prefer a concise tone, lead with the conclusion, use short headings, and avoid overly promotional wording.
The AI retrieves and applies saved personal preferences for more consistent outputs in the new session.
Give AI assistants persistent memory and unified recall across clients and MCP tools.
Give Claude persistent memory and shared context using plain Markdown files.
Persist Claude Code conversations and retrieve relevant context across sessions.
Provide shared memory for Claude across apps with sessions, handoffs, and artifacts.
Lets AI retain conversation memory for more consistent long-term collaboration.
Store durable memory in a GitHub-hosted Obsidian vault via markdown tools.