wenlan vs Waggle-mcp
wenlan: Wenlan is a living personal knowledge library for the AI-native age, built by your agents and grounded in its sources. It continuously evolves between sessions, distilling captures into source-cited wiki pages that feed retrieval.; Waggle-mcp: Waggle-mcp provides AI agents with a persistent, graph-backed memory that remembers decisions, reasons, and contradictions across sessions, overcoming the limitations of short context windows. It acts as a local-first memory layer for MCP-compatible AI clients, allowing for rich, structured context retrieval instead of simple text snippets.
TL;DR
Capture decisions, lessons, and facts from AI agent interactions to build a persistent knowledge base.
Maintaining long-term conversational memory for AI coding assistants across development sessions.
Side-by-Side Comparison
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