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Shell and coding agent on mcp clients
HYSEN LABS DIRECTORY
License tag · curated repositories and deep analysis.
Shell and coding agent on mcp clients
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
TypeScript AI agent framework: cognitive memory, runtime tool forging, multi-agent orchestration, 11 LLM providers.
Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
An AI agent that claws through your network
Semantic DataFrames for humans and agents
A LLM-based Agent that predict its tasks proactively.
A MCP Server for APK Tool (Part of Android Reverse Engineering MCP Suites)
Project brief: The CLI for PlanetScale Database. PlanetScale CLI PlanetScale is more than a database and our CLI is more than a jumble of commands.
On-device streaming speech-to-text engine powered by deep learning
🐳 DeepSeek Harness Desktop
ANOLISA (Agentic Nexus Operating Layer & Interface System Architecture) | Agentic OS with runtime, security, observability, and Tokenless response compression for lower token usage and cost.
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
Implementation of Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players
The (official) Music Assistant Mobile app is a cross-platform client application designed for Android and iOS. Developed using Kotlin Multiplatform (KMP) and Compose Multiplatform frameworks, this project aims to provide a unified codebase for reliable music management across multiple platforms.
Blazing fast framework for fine-tuning similarity learning models
PyTorch Code for Energy-Based Transformers paper -- generalizable reasoning and scalable learning
A Spring AI library that brings Claude Code-inspired tools and agent skills to your AI applications.
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.
Open diffusion language model for code generation — releasing pretraining, evaluation, inference, and checkpoints.