An MCP server that provides persistent memory and context management across sessions
Intelligent memory management for MCP clients with confidence tracking, relationship mapping, and knowledge quality maintenance. Memento is an MCP server that provides persistent memory capabilities across multiple platforms: IDEs: Zed, Cursor, Windsurf, VSCode, Claude Desktop CLI Agents: Gemini CLI, Claude CLI, custom agents Programmatic Usage: MCP client (Python), Docker deployment, CLI…
Inferred from the transports this listing declares (stdio). A client not listed here hasn’t been ruled out — it just isn’t something Forge can confirm.
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Forge read 0 source files from the published package tarball and matched no MCP tool registrations. Extraction is pattern-based over shipped source: a server that builds its tool list at runtime, or that ships only bundled or minified code, registers nothing this can see. Treat it as “not detected”, not as “exposes none”.
Intelligent memory management for MCP clients with confidence tracking, relationship mapping, and knowledge quality maintenance. Memento is an MCP server that provides persistent memory capabilities across multiple platforms: IDEs: Zed, Cursor, Windsurf, VSCode, Claude Desktop CLI Agents: Gemini CLI, Claude CLI, custom agents Programmatic Usage: MCP client (Python), Docker deployment, CLI export/import Applications: Any MCP-compatible application Build a personal or team knowledge base that…
Forge's dependency resolver reads npm metadata only, so this PyPI package has no resolved tree. That is a gap in coverage, not a clean bill of health.