Aumai Modality

B+ 87 completed
Framework
cli / python · tiny
22
Files
1,281
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#304019
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
38.27
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #49828
Member of a group with 1 similar repo(s) — canonical #78944 view group →
Top concepts (4)
Project DescriptiontestingTestingTesting
All rows scored by the Repobility analyzer (https://repobility.com)

AI Prompt

Build me a command-line interface (CLI) framework in Python for enabling multi-modal interactions between AI agents, similar to the AumAI Modality project. I need it to be structured as an open-source library. Please include setup instructions, documentation examples, and a testing structure using pytest. The project should be easily installable via pip and follow standard Python packaging practices.
python cli ai agent framework multi-modal pytest library
Generated by gemma4:latest

Catalog Information

The AUMAI Modality project is an open-source framework for enabling multi-modal interactions between agents.

Description

AUMAI Modality is a Python-based framework that enables the creation of multi-modal agent interactions. It allows developers to build systems that can interact with users through various modalities, such as text, speech, and gestures. The framework provides a flexible and modular architecture for integrating different interaction modalities.

الوصف

هي إطار عمل مفتوح المصدر للتفاعل بين الوكلاء عبر عدة أبعاد. يتيح للمطورين بناء أنظمة يمكنها التفاعل مع المستخدمين من خلال عدة أشكال، مثل النصوص والكلام والأجسام.

Novelty

7/10

Tags

multi-modal-interaction agent-communication natural-language-processing speech-recognition gesture-recognition

Technologies

click pydantic

Claude Models

claude-opus-4.6

Quality Score

B+
86.8/100
Structure
93
Code Quality
90
Documentation
85
Testing
85
Practices
68
Security
100
Dependencies
90

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (60% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Security & Health

4.1h
Tech Debt (D)
High
DORA Rating
A
OWASP (100%)
Repobility analyzer · published findings · https://repobility.com
PASS
Quality Gate
A
Risk (8)
Apache-2.0
License
2.5%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
78.0%
markdown
10.9%
yaml
6.4%
toml
4.8%

Frameworks

pytest

Symbols

variable19
method16
class9
function6
property3
constant2

Concepts (4)

Data scored by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Open data scored by Repobility · https://repobility.com
auto_descriptionProject Description> Multi-modal agent interaction framework80%
arch_layertestingDetected testing layer70%
auto_categoryTestingtesting70%
business_logicTestingDetected from 3 related files50%

Quality Timeline

1 quality score recorded.

View File Metrics
Repobility — the code-quality scanner for AI-generated software · https://repobility.com

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BinComp Dependency Hardening

All packages →
2 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
Nclick8.3.2 · 0 gadgets · risk 0.0Npydantic2.12.5 · 0 gadgets · risk 0.0