Abhigyan-Shekhar/Waggle-mcp
by Various
MCP server for external memory layer for AI agents + more . Download from pypi , and get started
MCP
Abhigyan-Shekhar/Waggle-mcp
Added 1 June 2026
Overview
Waggle-mcp is an MCP server that provides an external memory layer for AI agents. It is installed via PyPI and allows agents to persist and retrieve information across sessions.
Best for
Best for
Developers experimenting with persistent memory for AI agents in Python
Use cases
- Give AI agents long-term memory for ongoing conversations
- Store and recall context across different agent sessions
- Build persistent knowledge bases for agent workflows
Notes
Waggle-mcp is an MCP server that provides an external memory layer for AI agents. It is installed via PyPI and allows agents to persist and retrieve information across sessions.
12 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Use cases
- Give AI agents long-term memory for ongoing conversations
- Store and recall context across different agent sessions
- Build persistent knowledge bases for agent workflows
Pros
- Simple installation via pip
- Enables persistent memory for stateless agents
- Open-source and extensible
Cons
- Very early stage with only 12 GitHub stars
- Limited documentation and community support
- Unclear performance and reliability at scale
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Simple installation via pip
- Enables persistent memory for stateless agents
- Open-source and extensible
Cons
- Very early stage with only 12 GitHub stars
- Limited documentation and community support
- Unclear performance and reliability at scale
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