CLOUDM0N
Repository intelligence

Abhigyan-Shekhar/Waggle-mcp

GitHub

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

CLOUDM0N decision
REVIEW BEFORE ADOPTION
Trust REVIEW · 80/100
Good fit if

Teams whose requirements match this repository’s core capability.

Watch out for

Review deployment and security evidence before production adoption.

Practical intelligence

What matters before you adopt it

Best for
Teams whose requirements match this repository’s core capability.
Main trade-offs
Review deployment and security evidence before production adoption.
Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings
2
CLOUDM0N scanner findings
Critical
0
High
0
Medium
2
Low
0
View trust evidence & security findings▼
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
MEDIUM
Dynamic code execution pattern detected. 5 sample match(es) found.
MEDIUM
The project can spawn operating-system processes; review command construction and input handling. 5 sample match(es) found.
Architecture from code16 modules · 1 edges▼
Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files
286
Modules
16
Dependency edges
1
Core modules
apps
54 files
benchmarks
1 files
examples
2 files
integrations
1 files
plugins
1 files
scripts
45 files
src/rlm
33 files
src/waggle
76 files
templates
3 files
Dependency flow
No dependency edges were extracted.
Detected languages
Python · JavaScript · TypeScript · Shell
Detected frameworks
Anthropic SDK · NumPy · OpenAI SDK · Pydantic · Requests
Architecture evidence details
flowchart TD
    %% waggle-mcp — high-level architecture (DRAFT, refine me)
    n0["apps · 54 files"]
    n1["benchmarks · 1 file"]
    n2["examples · examples · 2 files"]
    n3["integrations · 1 file"]
    n4["plugins · 1 file"]
    n5["scripts · scripts · 45 files"]
    n6["src/rlm · 33 files"]
    n7["src/waggle · 76 files"]
    n8["templates · 3 files"]
    n9["tests · tests · 70 files"]
    n9 --> n5
    class n2 docs
    class n5 infra
    class n9 test
    classDef docs fill:#9d7660,color:#ffffff,stroke:#7c5d4c
    classDef infra fill:#b35c00,color:#ffffff,stroke:#8f4a00
    classDef test fill:#499894,color:#ffffff,stroke:#397975
Agent handoff
Use with any agent
JSON API
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