Waggle-mcp

Name: Waggle-mcp Review
Item: Waggle-mcp
Rating: 3.4
Author: Aaron Matthews

Connector Development Usable

Works inClaude Code Claude Cowork Claude Chat

Usable Scanned — metadata only

Provides persistent memory for AI agents, reducing hallucination and enabling context retention across sessions—critical for reliable autonomous task executi…

MCP server for external memory layer for AI agents + more . Download from pypi , and get started

Store and retrieve conversation context across multiple Claude sessions
Build persistent knowledge bases for AI agents without database setup
Maintain project-specific notes and decisions during long development cycles

32 starsApache-2.0 (commercial OK)Free

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Provides persistent memory for AI agents, reducing hallucination and enabling context retention across sessions—critical for reliable autonomous task execution in production environments.

Best for

Teams deploying long-running AI agents requiring stateful decision-making and consistent behavior across multiple interactions.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/Abhigyan-Shekhar/Waggle-mcp

By Abhigyan-Shekhar

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

claude mcp add Waggle-mcp -- npx -y Waggle-mcp

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Help me store and retrieve conversation context across multiple Claude sessions

CostFree

Trust Signals Auto-scanned

Stars32Contributors65Last updated2026-07-25LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 32 GitHub stars; 65 contributors; last commit 0d ago; license Apache-2.0.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

2/5

Reliability

5/5

Security

4/5

Overall score3.40 / 5.00 UsableEvaluatedJul 2026

Scored from trust signals (evidence-eval-v1): 32 GitHub stars; 65 contributors; last commit 0d ago; license Apache-2.0.

← Back to the Claude Observatory