AgentIndex icon
AgentIndex
Waggle-mcp logo
Waggle-mcp
★ 44
vs
memo logo
memo
★ 24

Waggle-mcp vs memo

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.; memo: Memo provides a 100% local, persistent, and searchable memory solution for AI coding agents, eliminating amnesia across sessions. It uniquely offers token-efficient context management, historical querying, contradiction detection, and autonomous maintenance, saving costs and improving agent performance.

01

TL;DR

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

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

Read Waggle-mcp full review →
memo logo
memoMemory & Context · ★ 24

Providing continuous memory and context for AI coding agents across multiple sessions to prevent 'amnesia'.

Read memo full review →
02

Side-by-Side Comparison

Field
Waggle-mcp logoWaggle-mcp
memo logomemo
Category
Memory & Context
Memory & Context
Stars
★ 44
★ 24
License
Apache-2.0
MIT
Install Command
pipx install waggle-mcp && waggle-mcp setup --yes
curl -fsSL https://raw.githubusercontent.com/jagoff/memo/v4.9.0/install.sh | bash
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Persistent Memory, Knowledge Graph, AI Agent Memory
AI Memory, Local-first, Coding Agent
03

Features

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.
memo logomemo
01100% local, persistent, and searchable memory for various AI coding agents (e.g., Claude Code, Cursor), requiring no cloud or external databases.
02Token-efficient context management designed to reduce overhead and save costs for AI interactions.
03Time-machine capability to query knowledge as it was at any historical point, aiding in understanding past decisions.
04Contradiction radar that detects and helps resolve conflicting facts within the knowledge corpus.
05Autonomous nightly maintenance pipeline to optimize memory, resolve conflicts, and pre-warm embeddings.
04

Use Cases

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.
memo logomemo
↳Providing continuous memory and context for AI coding agents across multiple sessions to prevent 'amnesia'.
↳Storing and retrieving important decisions, facts, or project-specific knowledge for AI agents.
↳Analyzing the evolution of project knowledge and understanding the rationale behind past decisions using historical queries.
↳Managing changing project requirements by detecting and resolving contradictions in stored knowledge.
↳Enhancing AI agent responses by injecting relevant, token-optimized memory before model answers.
FAQ

FAQ

What is the difference between Waggle-mcp and memo?
Both Waggle-mcp and memo are in the Memory & Context category. Waggle-mcp has 44 stars, while memo has 24 stars.
Which is better, Waggle-mcp or memo?
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 memo if Providing continuous memory and context for AI coding agents across multiple sessions to prevent 'amnesia'..
Is Waggle-mcp free or open source?
Yes, Waggle-mcp is open source on GitHub (Apache-2.0).
Is memo free or open source?
Yes, memo is open source on GitHub (MIT).
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