MCP Servers · Memory
Abhigyan-Shekhar/Waggle-mcp
MCP server for external memory layer for AI agents + more .
Our verdict
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.
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
- GitHub forks
- 138
- GitHub stars
- 44
- Days to a first reply on issues
- 2.3
- Open issues
- 171
- Releases in the last 90 days
- 7
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_briefrecall_memorypropose_memory_changeapply_approved_memory_changeload_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
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 checkedRun in your terminal (runs on your computer)
claude mcp add --transport stdio abhigyan-shekhar-waggle-mcp -- uvx waggle-mcp@0.1.8Claude Desktop
Config checkedAdd to claude_desktop_config.json (runs on your computer)
{
"mcpServers": {
"abhigyan-shekhar-waggle-mcp": {
"command": "uvx",
"args": [
"waggle-mcp@0.1.8"
]
}
}
}Cursor
Config checkedAdd to .cursor/mcp.json (runs on your computer)
{
"mcpServers": {
"abhigyan-shekhar-waggle-mcp": {
"command": "uvx",
"args": [
"waggle-mcp@0.1.8"
]
}
}
}VS Code
Config checkedAdd to .vscode/mcp.json (runs on your computer)
{
"servers": {
"abhigyan-shekhar-waggle-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"waggle-mcp@0.1.8"
]
}
}
}Codex
Config checkedAdd to ~/.codex/config.toml (runs on your computer)
[mcp_servers.abhigyan-shekhar-waggle-mcp]
command = "uvx"
args = ["waggle-mcp@0.1.8"]- 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 with | Type | How we know | Checked |
|---|---|---|---|
| Claude Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.1.8Config checked | Claude Code docs |
| Claude Desktop | Client | Install recipe matches the client's documented formatRuns locally, version 0.1.8Config checked | Claude Desktop docs |
| Cursor | Client | Install recipe matches the client's documented formatRuns locally, version 0.1.8Config checked | Cursor docs |
| VS Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.1.8Config checked | VS Code docs |
| Codex | Client | Install recipe matches the client's documented formatRuns locally, version 0.1.8Config checked | Codex docs |
Health and security
Is Abhigyan-Shekhar/Waggle-mcp looked after, and what do its setup files show
Health score
65 out of 100
| Part | Points | What we saw |
|---|---|---|
| Recent activity | 30 of 30 | Last push 2 days ago |
| Releases | 15 of 15 | 7 releases in 90 days |
| Issue replies | 20 of 20 | First reply in 2.3 days (median) |
| Maintainer | 0 of 15 | Owned by a single user |
| Official source | 0 of 20 | Community server |
Alternatives
Alternatives to Abhigyan-Shekhar/Waggle-mcp
| Record | Type | How we know | Checked |
|---|---|---|---|
| topoteretes/cogneeThis is an alternative to it | MCP server | Named in the listing | Not dated |
| vectorize-io/hindsightThis is an alternative to it | MCP server | Named in the listing | Not dated |
Compare
Compare Abhigyan-Shekhar/Waggle-mcp side by side
Sources
Where this comes from
- GitHubRegistry
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.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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