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MCP Servers · Memory

Abhigyan-Shekhar/Waggle-mcp

MCP server for external memory layer for AI agents + more .

Our verdict

Not reviewed yet

We have not reviewed Abhigyan-Shekhar/Waggle-mcp yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Abhigyan-Shekhar/Waggle-mcp

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

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

12 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

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

Key facts

What we have checked

Days since the last commit
2
Checked GitHub
GitHub forks
138
Checked GitHub
GitHub stars
44
Checked GitHub
Days to a first reply on issues
2.3
Checked GitHub
Open issues
171
Checked GitHub
Releases in the last 90 days
7
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

pip install -e ".[dev]"

Tools exposed

  • get_project_brief
  • recall_memory
  • propose_memory_change
  • apply_approved_memory_change
  • load_abhi_for_session

Clients the listing names (not checked here)

Claude Desktop, Claude Code, Cursor, Continue, VS Code, ChatGPT

Install

Add Abhigyan-Shekhar/Waggle-mcp to your client

Not verified yet

Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.

Claude Code

Config checked

Run in your terminal (runs on your computer)

claude mcp add --transport stdio abhigyan-shekhar-waggle-mcp -- uvx waggle-mcp@0.1.8

Version 0.1.8 · From the Official MCP registry, read · Format checked against Claude Code's config docs

Claude Desktop

Config checked

Add to claude_desktop_config.json (runs on your computer)

{
  "mcpServers": {
    "abhigyan-shekhar-waggle-mcp": {
      "command": "uvx",
      "args": [
        "waggle-mcp@0.1.8"
      ]
    }
  }
}

Version 0.1.8 · From the Official MCP registry, read · Format checked against Claude Desktop's config docs

Cursor

Config checked

Add to .cursor/mcp.json (runs on your computer)

{
  "mcpServers": {
    "abhigyan-shekhar-waggle-mcp": {
      "command": "uvx",
      "args": [
        "waggle-mcp@0.1.8"
      ]
    }
  }
}

Version 0.1.8 · From the Official MCP registry, read · Format checked against Cursor's config docs

VS Code

Config checked

Add to .vscode/mcp.json (runs on your computer)

{
  "servers": {
    "abhigyan-shekhar-waggle-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "waggle-mcp@0.1.8"
      ]
    }
  }
}

Version 0.1.8 · From the Official MCP registry, read · Format checked against VS Code's config docs

Codex

Config checked

Add to ~/.codex/config.toml (runs on your computer)

[mcp_servers.abhigyan-shekhar-waggle-mcp]
command = "uvx"
args = ["waggle-mcp@0.1.8"]

Version 0.1.8 · From the Official MCP registry, read · Format checked against Codex's config docs

  • ChatGPT: ChatGPT connects only to remote servers that need no API key.

Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.

Works with

What Abhigyan-Shekhar/Waggle-mcp connects to

5 clients, each with how we know and when we checked.

Works withTypeHow we knowChecked
Claude CodeClientInstall recipe matches the client's documented formatRuns locally, version 0.1.8Config checkedClaude Code docs
Claude DesktopClientInstall recipe matches the client's documented formatRuns locally, version 0.1.8Config checkedClaude Desktop docs
CursorClientInstall recipe matches the client's documented formatRuns locally, version 0.1.8Config checkedCursor docs
VS CodeClientInstall recipe matches the client's documented formatRuns locally, version 0.1.8Config checkedVS Code docs
CodexClientInstall recipe matches the client's documented formatRuns locally, version 0.1.8Config checkedCodex docs

Health and security

Is Abhigyan-Shekhar/Waggle-mcp looked after, and what do its setup files show

Health score

65 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 2 days ago
Releases15 of 157 releases in 90 days
Issue replies20 of 20First reply in 2.3 days (median)
Maintainer0 of 15Owned by a single user
Official source0 of 20Community server

Alternatives

Alternatives to Abhigyan-Shekhar/Waggle-mcp

RecordTypeHow we knowChecked
topoteretes/cogneeThis is an alternative to itMCP serverNamed in the listingNot dated
vectorize-io/hindsightThis is an alternative to itMCP serverNamed in the listingNot dated

Compare

Compare Abhigyan-Shekhar/Waggle-mcp side by side

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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