Search Results for "model driven"
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Showing 198 open source projects for "model driven"
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Clay Foundation Model
The Clay Foundation Model - An open source AI model and interface
The Clay Foundation Model is an open-source AI model and interface designed to provide comprehensive data and insights about Earth. It aims to serve as a foundational tool for environmental monitoring, research, and decision-making by integrating various data sources and offering an accessible platform for analysis. -
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AI-DLC
AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI
AI-DLC is an open-source workflow framework from AWS Labs designed to structure software development around AI-assisted engineering processes. The project promotes an “AI-Driven Life Cycle” methodology where coding assistants, IDE agents, and automation systems participate directly in planning, implementation, testing, and operational workflows. Rather than focusing on a single model or IDE, the framework provides reusable rules, templates, and orchestration patterns compatible with tools such as Amazon Q Developer, Claude Code, Cursor, GitHub Copilot, and Cline. ... -
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ASSERT
Requirement-driven evaluation harness for AI agents and LLM
ASSERT is a requirement-driven evaluation harness for AI agents and LLM applications. It turns natural-language specifications, policies, product requirements, and launch criteria into structured tests that can be reviewed, executed, scored, and improved. The pipeline derives behavior categories, generates single-turn and multi-turn test cases, runs them against a target system, and uses an LLM judge to score conversations against the stated policies. It can evaluate hosted models, custom... -
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HunyuanVideo
HunyuanVideo: A Systematic Framework For Large Video Generation Model
HunyuanVideo is a cutting-edge framework designed for large-scale video generation, leveraging advanced AI techniques to synthesize videos from various inputs. It is implemented in PyTorch, providing pre-trained model weights and inference code for efficient deployment. The framework aims to push the boundaries of video generation quality, incorporating multiple innovative approaches to improve the realism and coherence of the generated content. Release of FP8 model weights to reduce GPU... -
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MCP Teams Server
An MCP (Model Context Protocol) server implementation
An MCP server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, and mention members, facilitating AI-driven interactions within Teams. -
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Binary Ninja MCP
A Binary Ninja plugin, MCP server
The Binary Ninja MCP is a plugin and bridge that integrates Binary Ninja with Large Language Model clients via the Model Context Protocol, enhancing reverse engineering workflows with AI assistance. -
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Logfire MCP
The Logfire MCP Server is here
The Logfire MCP Server is a Model Context Protocol server that allows AI applications to access OpenTelemetry traces and metrics sent to Logfire. It enables retrieval and analysis of telemetry data, enhancing debugging and observability workflows. -
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Agently 4
Build GenAI application quick and easy
Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. The project aims at production-grade GenAI application development rather than just one-off scripts — you’ll find examples of news gathering, agentic workflows, control systems, etc. ... -
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K8M
Mini Kubernetes AI Dashboard
An AI-driven Mini Kubernetes Dashboard designed to simplify cluster management, offering a lightweight console tool with integrated large language model capabilities for enhanced operational efficiency. -
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LongCat-Video
Foundational video generation model with 13.6B parameters
...Block Sparse Attention reduces high-resolution inference costs, while multi-reward GRPO training improves visual quality and prompt alignment. The repository includes inference scripts for single- and multi-GPU execution, model-download instructions, and interactive generation examples. It also provides audio-driven Avatar variants for expressive single- or multi-character animation. -
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ComfyUI
The most powerful and modular diffusion model GUI, api and backend
...Open source AI models will win in the long run against closed models and we are only at the beginning. Our core mission is to advance and democratize AI tooling. We believe that the future of AI tooling is open-source and community-driven. -
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MCPHost
A CLI host application that enables Large Language Models (LLMs)
mcphost is a command-line host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP). It provides a unified interface for engaging with various AI models and supports integration with multiple MCP servers, streamlining the development of AI-driven applications. -
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MCP K8s Go
MCP server connecting to Kubernetes
A Golang-based MCP server that connects AI assistants to Kubernetes clusters, enabling efficient management and operation of Kubernetes resources through natural language commands. -
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mergekit
Tools for merging pretrained large language models
mergekit is an open-source toolkit designed to combine multiple pretrained language models into a single unified model through parameter merging techniques. The framework enables developers to merge model checkpoints so that the resulting model inherits capabilities from several source models without requiring additional training. This approach allows researchers to combine specialized models into a more versatile system capable of performing multiple tasks. mergekit implements a variety of merging algorithms and strategies that control how model parameters are blended together during the merging process. ... -
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9Router
Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline
...The project allows developers to connect tools such as Claude Code, Cursor, Codex, Cline, Copilot, Gemini CLI, and other AI coding environments to multiple commercial, free, and fallback model providers without manually switching APIs. It includes smart routing logic that can automatically redirect requests between premium, low-cost, or free providers based on quotas, availability, or configuration rules. The system also offers a local dashboard for monitoring quotas, providers, models, and routing behavior in real time. 9router emphasizes flexibility and uninterrupted workflows by supporting failover mechanisms, provider pooling, and configuration-driven request management. ... -
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Kiro
Kiro is an agentic IDE that works alongside you from prototype
Kiro is an agentic AI-powered integrated development environment and command-line tool designed to help developers move from early-stage prototypes to production-ready software through structured, spec-driven development. Unlike traditional AI coding assistants that rely heavily on ad hoc prompts, Kiro transforms natural language input into formalized requirements, architectural plans, and step-by-step implementation tasks, ensuring clarity and maintainability throughout the development... -
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DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems
DataDrivenDiffEq.jl is a package for finding systems of equations automatically from a dataset. The methods in this package take in data and return the model which generated the data. A known model is not required as input. These methods can estimate equation-free and equation-based models for discrete, continuous differential equations or direct mappings. -
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Easy Diffusion
An easy 1-click way to create beautiful artwork on your PC using AI
...The project abstracts away environment setup, dependencies, and model installation — tasks that can be daunting to beginners — and instead lets users focus on creative experimentation with prompt phrasing, model parameters, and image output settings. Because it’s designed to be easy to install and use, EasyDiffusion’s interface includes options for queuing multiple jobs, applying modifiers like upscaling or face correction, and adjusting generation parameters like guidance scale and resolution. -
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HackMD MCP
A Model Context Protocol server for integrating HackMD
The HackMD MCP server integrates HackMD's note-taking platform with AI assistants via the Model Context Protocol. This allows AI models to interact with HackMD, enabling functionalities such as retrieving, creating, and managing notes through AI-driven commands. -
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MLE-bench
AI multi-agent framework for automating data-driven R&D workflows
RD-Agent is an open source AI framework designed to automate research and development workflows in data-driven domains. It uses large language models and multiple collaborating agents to simulate the typical cycle of research, experimentation, and improvement that human data scientists follow. It separates the process into two core phases: a research stage that proposes hypotheses and ideas, and a development stage that implements and evaluates them through code execution and experiments. ... -
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MCP Browser Kit
MCP Server for interacting with manifest v2 compatible browsers
An MCP server that integrates with browser extensions to enable AI assistants to interact with the user's browser, allowing actions like starring repositories on GitHub through natural language commands. -
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Browser Use MCP Server
Browse the web, directly from Cursor etc.
A browser automation server implementing the Model Context Protocol, designed to allow AI assistants to browse the web directly from applications like Cursor. It supports natural language commands for web navigation and interaction. -
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Last9 MCP Server
Last9 MCP Server
The Last9 MCP Server is a Model Context Protocol server implementation for Last9, enabling AI agents to seamlessly bring real-time production context—logs, metrics, and traces—into local environments to auto-fix code faster. -
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Azure CLI MCP
Talk with Azure using MCP
An MCP server that enables AI assistants to interact with Microsoft Azure via the Azure CLI, allowing tasks such as listing resources, checking configurations, fixing issues, and creating new resources through conversational commands. -
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Gradle MCP Server
A Model Context Protocol (MCP) server
The Gradle MCP Server is a Model Context Protocol implementation that enables AI tools to interact programmatically with Gradle projects. It uses the Gradle Tooling API to query project information and execute tasks, facilitating seamless integration with AI-driven development tools.
