Aap

C+ 78 completed
Library
monorepo / python · small
123
Files
28,305
LOC
1
Frameworks
9
Languages

Pipeline State

completed
Run ID
#361843
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
62.00
Framework unique
Isolation
Last stage change
2026-05-10 03:35:10
Deduplication group #52059
Member of a group with 20 similar repo(s) — canonical #2304 view group →
Top concepts (2)
Project DescriptionTesting
Source: Repobility analyzer · https://repobility.com

AI Prompt

Create a Python library that implements an Agent Alignment Protocol (AAP). I need the core functionality to allow agents to declare their alignment posture using an "Alignment Card," and then to instrument agent functions using a decorator like `@trace_decision`. The system must also support generating auditable decision traces and verifying if a given trace matches the declared card using a command like `aap verify`. Please structure this as a monorepo that uses pytest for testing.
python library ai-agents protocol testing monorepo alignment
Generated by gemma4:latest

Catalog Information

A library that implements a protocol layer for aligning the behavior of distributed AI agents.

Description

The Agent Alignment Protocol provides a standardized interface for enforcing alignment constraints across autonomous agents. It defines message formats, negotiation rules, and consistency checks that help maintain shared goals and values. The library is lightweight, written in Python and TypeScript, and integrates with existing agent frameworks via simple adapters. It targets developers building multi‑agent systems who need reliable coordination without reinventing alignment logic. By abstracting alignment concerns, it reduces bugs and improves trust in complex agent networks.

الوصف

توفر بروتوكول التوافق للوكيل واجهة موحدة لتطبيق قيود التوافق عبر وكلاء الذكاء الاصطناعي المستقلين. يحدد تنسيقات الرسائل وقواعد التفاوض وفحوصات الاتساق التي تساعد على الحفاظ على الأهداف والقيم المشتركة. المكتبة خفيفة الوزن، مكتوبة بلغة بايثون وتايبسكريبت، وتتكامل مع أطر الوكلاء الحالية عبر محولات بسيطة. تستهدف المطورين الذين يبنون أنظمة متعددة الوكلاء ويحتاجون إلى تنسيق موثوق دون إعادة اختراع منطق التوافق. من خلال تجريد مخاوف التوافق، يقلل من الأخطاء ويعزز الثقة في شبكات الوكلاء المعقدة.

Novelty

8/10

Tags

agent-alignment protocol-layer multi‑agent-coordination consistency-enforcement trust-management communication-standard

Technologies

click pydantic

Claude Models

claude-opus-4.6 claude-opus-4.5

Quality Score

C+
78.1/100
Structure
92
Code Quality
75
Documentation
90
Testing
85
Practices
56
Security
65
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (85% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Properly licensed project

Weaknesses

  • Potential hardcoded secrets in 1 files
  • 910 duplicate lines detected \u2014 consider DRY refactoring
  • 4 'god files' with >500 LOC need decomposition

Recommendations

  • Move hardcoded secrets to environment variables or a secrets manager

Security & Health

5.8h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (0)
About: code-quality intelligence by Repobility · https://repobility.com
Apache-2.0
License
7.2%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
35.7%
json
29.0%
typescript
18.8%
javascript
7.3%
markdown
3.8%
css
2.8%
html
1.5%
yaml
1.0%
toml
0.3%

Frameworks

pytest

Concepts (2)

Open data · scored by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
auto_descriptionProject Description![CI](https://github.com/mnemom/aap/actions/workflows/ci.yml) ![CodeQL](https://github.com/mnemom/aap/actions/workflows/codeql.yml) ![codecov](https://codecov.io/gh/mnemom/aap)80%
auto_categoryTestingtesting70%

Quality Timeline

1 quality score recorded.

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