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Provide local-first shared durable memory for MCP clients without accounts or API keys.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pathmark" yet — see the docs or source repo.
Use pathmark to save long-term context for this project: the stack is Next.js, PostgreSQL, and Prisma; prefer functional coding style; deploy to Vercel; reference this information in future chats.
The tool stores key project context for reuse across future MCP sessions.
Write these team conventions into pathmark memory: use Conventional Commits for commit messages, include test results in PRs, and name urgent fix branches hotfix/*, so both Claude Code and Cursor can read them.
Team conventions are durably stored and can be shared across different MCP clients.
Use pathmark to remember my research preferences: prioritize English papers and official docs; give conclusions before evidence; translate LLM as large language model consistently; follow these rules in future analysis.
Personal research preferences and terminology rules are saved for more consistent future analysis.
Provide persistent local memory and semantic search for MCP AI clients.
Share, search, and reuse local memory across multiple AI coding agents.
Help MCP clients remember preferences and retrieve key context across chats.
Persist Claude Code conversations and retrieve relevant context across sessions.
Provide persistent local semantic memory for MCP tools to store and search notes.
Provide shared memory for Claude across apps with sessions, handoffs, and artifacts.