wenlan logo
wenlan
★ 86
vs
Waggle-mcp logo
Waggle-mcp
★ 44

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.

01

TL;DR

wenlan logo
wenlanRAG / Knowledge Base · ★ 86

Capture decisions, lessons, and facts from AI agent interactions to build a persistent knowledge base.

Waggle-mcp logo
Waggle-mcpMemory & Context · ★ 44

Maintaining long-term conversational memory for AI coding assistants across development sessions.

02

Side-by-Side Comparison

Field
wenlan logowenlan
Waggle-mcp logoWaggle-mcp
Category
RAG / Knowledge Base
Memory & Context
Stars
★ 86
★ 44
License
Apache-2.0
Apache-2.0
Install Command
npx -y wenlan setup && ~/.wenlan/bin/wenlan install
pipx install waggle-mcp && waggle-mcp setup --yes
Updated
1d ago
1w ago
Open Source
Yes
Yes
Tags
AI Agent Memory, Personal Knowledge Management, RAG
Persistent Memory, Knowledge Graph, AI Agent Memory
03

Features

wenlan logowenlan
01Trustworthy and source-cited knowledge pages, with hallucination prevention and fact deduplication.
02Self-evolving knowledge base that updates and refines between sessions without manual maintenance.
03Real Git versioning for all memories, pages, and sessions, enabling inspection, diff, and revert.
04Unified local daemon serving context to multiple MCP-compatible AI clients.
05Hybrid retrieval system leveraging vector embeddings, FTS5, and graph context for relevant recall.
Waggle-mcp logoWaggle-mcp
01Persistent graph memory with SQLite backend by default, with optional Neo4j support.
02Integrates as an MCP server with automatic memory hooks for various AI clients like Claude, Cursor, and Gemini CLI.
03Recursive context assembly to provide compact, high-signal context packs, optimizing token usage.
04Stores relationships between facts, decisions, and contradictions, enabling temporal queries, diffs, and conflict resolution.
05Local embeddings with a deterministic offline fallback, ensuring privacy and local operation.
04

Use Cases

wenlan logowenlan
↳Capture decisions, lessons, and facts from AI agent interactions to build a persistent knowledge base.
↳Maintain continuous, topic-relevant context across multiple AI agent sessions and projects.
↳Distill raw agent captures and existing documents into trustworthy, source-cited wiki pages.
↳Integrate a shared memory and context layer across various AI development environments like Claude Code, Cursor, and VS Code.
Waggle-mcp logoWaggle-mcp
↳Maintaining long-term conversational memory for AI coding assistants across development sessions.
↳Retrieving past decisions, constraints, and preferences to inform current AI agent actions.
↳Tracking changes and resolving contradictions in evolving project requirements or design choices.
↳Exporting and sharing AI agent memory snapshots for collaboration or migration between machines/sessions.
↳Debugging AI agent reasoning and understanding context by inspecting the underlying knowledge graph via Graph Studio.
FAQ

FAQ

What is the difference between wenlan and Waggle-mcp?
Both wenlan and Waggle-mcp are in the RAG / Knowledge Base category. wenlan has 86 stars, while Waggle-mcp has 44 stars.
Which is better, wenlan or Waggle-mcp?
The best choice depends on your use case. Choose wenlan if Capture decisions, lessons, and facts from AI agent interactions to build a persistent knowledge base., and Waggle-mcp if Maintaining long-term conversational memory for AI coding assistants across development sessions..
Is wenlan free or open source?
Yes, wenlan is open source on GitHub (Apache-2.0).
Is Waggle-mcp free or open source?
Yes, Waggle-mcp is open source on GitHub (Apache-2.0).
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