CLOUDM0N
Repository intelligence

egma-ai/egma

GitHub

An open-source platform built to help teams shipping voice agents gain trust in the agent they ship to production.

CLOUDM0N decision
REVIEW BEFORE ADOPTION
Trust REVIEW · 70/100
Good fit if

Teams shipping voice agents to production

Watch out for

Review deployment and security evidence before production adoption.

Practical intelligence

What matters before you adopt it

Problem it solves

The lack of trust and specialized tools when teams deploy voice agents into production environments.

Best for
Teams shipping voice agents to production
Main trade-offs
Review deployment and security evidence before production adoption.
Why it stands out
Open-source
Trust & CVEs

Security evidence without the noise

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

Security findings
3
CLOUDM0N scanner findings
Critical
0
High
0
Medium
3
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. 1 sample match(es) found.
MEDIUM
The project can spawn operating-system processes; review command construction and input handling. 5 sample match(es) found.
MEDIUM
Broad permission or elevated-command pattern detected. 3 sample match(es) found.
Architecture from code15 modules · 3 edges▼
Structural evidence

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

Code files
855
Modules
15
Dependency edges
3
Core modules
(root)
1 files
apps
604 files
fixtures
5 files
packages/db
database layer
141 files
packages/ids
2 files
packages/lint
3 files
packages/metrics
9 files
packages/platform-api
44 files
packages/provider-credentials
2 files
packages/retell
17 files
packages/simulation-contract
7 files
sdks
18 files
Dependency flow
apps→packages/db
apps→packages/ids
packages/lint→packages/db
Detected languages
TypeScript · Python · SQL · JavaScript · Shell
Detected frameworks
Vitest
Architecture evidence details
flowchart TD
    %% egma — high-level architecture (DRAFT, refine me)
    n0["(root) · 1 file"]
    n1["apps · 604 files"]
    n2["fixtures · 5 files"]
    n3["packages/db · database layer · 141 files"]
    n4["packages/ids · 2 files"]
    n5["packages/lint · 3 files"]
    n6["packages/metrics · 9 files"]
    n7["packages/platform-api · 44 files"]
    n8["packages/provider-credentials · 2 files"]
    n9["packages/retell · 17 files"]
    n10["packages/simulation-contract · 7 files"]
    n11["sdks · 18 files"]
    n12["tools · tool implementations · 2 files"]
    n1 --> n3
    n1 --> n4
    n5 --> n3
    class n3 data
    class n12 shared
    classDef data fill:#59a14f,color:#ffffff,stroke:#46803e
    classDef shared fill:#79706e,color:#ffffff,stroke:#5d5654
Evidence, security & integrations▼
Integrations
Deepwiki
Security notes
Still unknown
• The README is extremely minimal and does not provide trade-offs, limitations, or caveats.
• Does not specify system requirements, installation steps, configuration files, or getting started commands.
• Lacks detailed architectural explanations, how it works under the hood, or specific capabilities outside of a high-level goal.
• Does not list supported deployment options, integrations (aside from Deepwiki), security configurations, or operational maintenance notes.
Adoption guidance▼
Adopt if
+ You are shipping voice agents to production and need an open-source platform to build trust in them
Avoid if
Agent handoff
Use with any agent
JSON API
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