Modular Python SDK and monorepo for AI agents, LLM integrations, tools, parsers, embeddings, vector stores, and extensible application workflows.
MOEA/D is a general-purpose algorithm framework. It decomposes a multi-objective optimization problem into a number of single-objective optimization sub-problems and then uses a search heuristic to optimize these sub-problems simultaneously and cooperatively.
simple and modular framework to perform all stages of face recognition pipeline (detection, alignment, embedding, matching) with the possibility to add and use different models and techniques for each stage and can be used for images and videos.
A modular framework for building psychologically-informed AI assistants. Processes real-life conversations and generates therapeutic responses using vector databases for knowledge management and retrieval.
A modular, event-driven Discord bot framework with priority-based module loading and built-in anti-spam. Write your first module in minutes.
A modular Self-Reflective RAG framework with built-in critique system. Features 3 adaptive critics ([Retrieve], [ISSUP], [ISCOMP]) for on-demand retrieval, factual verification, and completeness checking. Works with any document source with full reasoning trace visibility.
A terminal-based tool for managing Debian-based systems like Ubuntu, Raspbian, and more. Features include user management, Node-RED instance control, and modular extensions. Simplifies system administration with a user-friendly terminal interface.
Modular Time Series Forecasting Framework - Built for Education & Research
python.dialoget.com is a test framework for multilanguage source code, based on decorators
Modular reconnaissance and intelligence framework evolving toward multi-context Nexus analysis.
🚀 Advanced modular ai-powered penetration testing framework with unified tool integration | Combines reconnaissance, exploitation, and post-exploitation in one powerful interface | Enterprise-grade security testing made simple
Modular AI agent framework powered by GPT-4, designed for answering questions, retrieving information, and performing calculations using a structured thought-action loop.
Modular Python framework for building applications with manifest-driven modules, dependency resolution, and lifecycle hooks.
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