Repository History
350 repositories tagged with Python
agent-tackle-box: A Terminal Debugger for LangGraph & LangChain Agents
agent-tackle-box is a comprehensive toolkit for developing AI agents, featuring the powerful `agent-debugger`. This terminal debugger provides deep insights into LangGraph and LangChain agents. It allows developers to inspect state, monitor tool calls, and step through Python code, all within a unified Textual UI.
ADR: Uber's Enterprise Security System for AI Agents
ADR (Agentic AI Detection and Response) is an enterprise security system developed by Uber to secure AI agents. It offers critical capabilities like observability, security benchmarking, and threat detection, ensuring the safe operation of both employee and customer-facing AI applications. This open-source project is deployed in production at Uber and was accepted to MLSys 2026.
SkillOpt: Optimizing Self-Evolving Agent Skills for LLMs
SkillOpt is an innovative text-space optimizer from Microsoft that enables the training of reusable natural-language skills for frozen LLM agents. It approaches skill development with the rigor of deep-learning optimization, using trajectory-driven edits and validation-gated updates. This results in deployable `best_skill.md` artifacts that significantly boost agent performance across various benchmarks and models without modifying model weights.
Ragas: Supercharge Your LLM Application Evaluations
Ragas is an ultimate toolkit for evaluating and optimizing Large Language Model (LLM) applications. It offers objective metrics, intelligent test generation, and data-driven insights to move beyond subjective assessments. This framework helps developers build feedback loops and continuously improve their LLM applications.
awesome-cli-coding-agents: A Curated Directory of Terminal-Native AI Tools
The `awesome-cli-coding-agents` repository offers a comprehensive, curated directory of over 100 terminal-native AI coding agents. These powerful tools operate directly within your command line, enabling autonomous code reading, editing, and execution. The list also covers various harnesses and orchestration solutions for managing these agents.
QwenPaw: Your Personal AI Assistant for Local and Cloud Deployment
QwenPaw is a powerful personal AI assistant designed for easy installation and deployment, either on your local machine or in the cloud. It supports multiple chat applications and offers highly extensible capabilities, making it a versatile tool for various AI-driven tasks. With its robust memory system and security features, QwenPaw aims to be an intuitive and private partner in your digital life.
DeepTutor: Lifelong Personalized Tutoring with AI Agents
DeepTutor is an advanced AI-powered platform designed for lifelong personalized tutoring, integrating various learning modes into a single, extensible system. It leverages large language models and multi-agent systems to offer features like interactive chat, quiz generation, and skill development. This project provides a comprehensive environment for learners and educators seeking intelligent, adaptive educational tools.
Memori: Agent-Native Memory Infrastructure for LLM Production Systems
Memori provides agent-native memory infrastructure, offering an LLM-agnostic layer that transforms agent execution and conversations into structured, persistent state. Designed for enterprise use, it seamlessly integrates with existing data infrastructure and supports various deployment environments, ensuring robust memory management for AI agents.
django-taggit: Simple Tagging for Django Applications
django-taggit offers a straightforward approach to adding tagging functionality to your Django projects. It simplifies the process of managing tags for your models, integrating seamlessly with Django's ORM, forms, and admin interface. This project is maintained by Jazzband, ensuring ongoing development and community support.
MRQ: A Distributed Python Task Queue with Redis and Gevent
MRQ is a distributed worker task queue written in Python, leveraging Redis and gevent for efficient task management. It aims to combine the simplicity of RQ with the performance capabilities of Celery, offering a robust solution for handling heterogeneous jobs. Developed by Pricing Assistant, it provides a comprehensive dashboard, per-job logs, and flexible job management features.
nose2: The Successor to nose, Based on unittest2
nose2 is a powerful testing framework for Python, designed as the successor to the popular nose project. Built upon Python's standard `unittest` module, it extends its capabilities to provide a more flexible and feature-rich testing experience. It aims to make writing and running tests in Python simpler and more efficient.
PyAutoGUI: Cross-Platform GUI Automation with Python
PyAutoGUI is an intuitive Python module designed for cross-platform GUI automation, enabling users to programmatically control the mouse and keyboard. It simplifies complex desktop interactions, allowing for tasks like clicking, typing, and taking screenshots across Windows, macOS, and Linux. This powerful library is ideal for automating repetitive tasks and creating bots.