Agentic Context Engine

C 66 completed
Framework
cli / python · small
399
Files
70,487
LOC
1
Frameworks
8
Languages

Pipeline State

completed
Run ID
#351765
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
47.80
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 (2)
Project DescriptionTesting
Repobility · code-quality intelligence · https://repobility.com

AI Prompt

Create a command-line interface (CLI) tool using Python that implements an agentic context engine, similar to the ACE framework. I need the core functionality to allow an AI agent to continuously improve by learning from its execution feedback. The tool should demonstrate how the agent maintains a 'Skillbook' and automatically learns patterns from both successful and failed tasks. Please structure the code to be easily runnable from the command line, perhaps using pytest for testing the core logic.
python cli ai-agent context-engine framework learning pytest automation
Generated by gemma4:latest

Catalog Information

A framework for building AI agents that continuously improve through experience.

Description

The framework empowers developers to create autonomous AI agents that learn from their interactions and refine their behavior over time. It provides modular components for perception, decision‑making, and learning, allowing agents to adapt to new tasks without manual re‑programming. The system integrates natural language understanding, reinforcement learning, and data‑driven feedback loops to enable self‑improvement. Targeted at AI researchers and developers building intelligent automation, it solves the challenge of creating agents that can evolve with changing environments. By abstracting complex learning pipelines, it accelerates experimentation and deployment of adaptive AI solutions.

الوصف

يُقدِّم هذا الإطار أدوات لبناء وكلاء ذكاء اصطناعي يتمتعون بقدرة على التعلم المستمر والتطور من خلال الخبرة التي يكتسبونها أثناء التفاعل مع البيئة. يتألف الإطار من مكوّنات معيارية تشمل الإدراك، واتخاذ القرار، وآليات التعلم، ما يتيح للوكيل التكيف مع مهام جديدة دون الحاجة إلى إعادة برمجة يدوية. يدمج الإطار معالجة اللغة الطبيعية، وتعلم التعزيز، ودورات التغذية الراجعة المعتمدة على البيانات، لتفعيل عملية التحسين الذاتي. يستهدف الباحثين في مجال الذكاء الاصطناعي والمطورين الذين يبدعون حلولاً أتمتة ذكية، ويحل مشكلة إنشاء وكلاء يمكنهم التطور مع تغير الظروف. من خلال تجريد خطوط الأنابيب التعلمية المعقدة، يسرّع الإطار التجريب والتطبيق السريع لحلول الذكاء الاصطناعي المتكيفة.

Novelty

8/10

Tags

ai-agents self‑learning reinforcement-learning natural-language-processing adaptive-automation

Technologies

anthropic aws-sdk huggingface langchain numpy openai pandas playwright pydantic pytorch rich

Claude Models

claude-opus-4.6 claude-opus-4.5 claude (unknown version)

Quality Score

C
65.8/100
Structure
80
Code Quality
73
Documentation
90
Testing
75
Practices
29
Security
25
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (37% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Properly licensed project

Weaknesses

  • 30 bare except/catch blocks swallowing errors
  • Potential hardcoded secrets in 6 files
  • 3516 duplicate lines detected \u2014 consider DRY refactoring
  • 17 'god files' with >500 LOC need decomposition

Recommendations

  • Replace bare except/catch blocks with specific exception types
  • Move hardcoded secrets to environment variables or a secrets manager

Security & Health

14.3h
Tech Debt (A)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (12)
Want fix-PRs on findings? Install Repobility's GitHub App · github.com/apps/repobility-bot
MIT
License
20.5%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
76.8%
markdown
20.3%
shell
1.6%
html
0.5%
yaml
0.5%
toml
0.3%
json
0.1%
text
0.0%

Frameworks

pytest

Concepts (2)

Powered by Repobility · code-quality intelligence
CategoryNameDescriptionConfidence
Repobility analyzer · published findings · https://repobility.com
auto_descriptionProject Description!GitHub stars ![Discord](https://discord.gg/mqCqH7sTyK) ![Twitter Follow](https://twitter.com/kaybaai)80%
auto_categoryTestingtesting70%

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