Waggle-mcp
★ 44
vs
mnemo
★ 12
Waggle-mcp vs mnemo
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.; mnemo: Mnemo is an open, free, and unlimited persistent AI memory system featuring hybrid search and embedded synchronization. It integrates full-text search with vector search, temporal decay, and importance boosting for advanced retrieval.
01
TL;DR
Waggle-mcpMemory & Context · ★ 44
Maintaining long-term conversational memory for AI coding assistants across development sessions.
mnemoMemory & Context · ★ 12
Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
02
Side-by-Side Comparison
Field
Waggle-mcpmnemoCategory
Memory & Context
Memory & Context
Stars
★ 44
★ 12
License
Apache-2.0
Apache-2.0
Install Command
pipx install waggle-mcp && waggle-mcp setup --yes
/plugin marketplace add n24q02m/claude-plugins && /plugin install mnemo-mcp@n24q02m-plugins
Updated
1w ago
2d ago
Open Source
Yes
Yes
Tags
Persistent Memory, Knowledge Graph, AI Agent Memory
AI Memory, Hybrid Search, Vector Database
03
Features
Waggle-mcp01Persistent 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.
mnemo01Hybrid retrieval combining full-text search (FTS5) and vector search, fused via Reciprocal Rank Fusion, then re-ranked with temporal decay and importance boost.
02Automatic entity extraction and relation tracking to build a temporal knowledge graph, boosting top search results by graph proximity.
03Multi-machine sync via Google Drive with JSONL-based merge sync, and end-to-end encrypted passport sync using AES-256-GCM and Argon2id for secure cross-device bootstrap.
04LLM-driven compression of older memories and LLM summarization of related memories for STM-to-LTM consolidation, achieving significant token reduction.
05Zero-config local setup using Fastretrieval's built-in Qwen3 ONNX embedding and reranking models, requiring no external API keys for basic operation.
04
Use Cases
Waggle-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.
mnemo↳Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
↳Building and querying a temporal knowledge graph to understand historical states and relationships of entities within an AI system's memory.
↳Synchronizing AI memory across multiple machines or devices securely, enabling a consistent knowledge base for agents.
↳Improving the efficiency of LLM interactions by compressing older memories and consolidating related information.
↳Integrating with various AI clients (e.g., Claude Code, Gemini CLI, Cursor) as an MCP server for advanced memory management.
FAQ
FAQ
What is the difference between Waggle-mcp and mnemo?
Both Waggle-mcp and mnemo are in the Memory & Context category. Waggle-mcp has 44 stars, while mnemo has 12 stars.
Which is better, Waggle-mcp or mnemo?
The best choice depends on your use case. Choose Waggle-mcp if Maintaining long-term conversational memory for AI coding assistants across development sessions., and mnemo if Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making..
Is Waggle-mcp free or open source?
Yes, Waggle-mcp is open source on GitHub (Apache-2.0).
Is mnemo free or open source?
Yes, mnemo is open source on GitHub (Apache-2.0).
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