Awesome GitHub RepositoriesAgent Development

Huginn is a self-hosted automation platform that functions as an event-driven workflow engine. It allows users to build autonomous agents that monitor web services, scrape data, and execute complex tasks by propagating events through a directed graph. By running on your own server infrastructure, it provides a private environment for orchestrating workflows without relying on third-party automation services. The platform distinguishes itself through a modular, plugin-based architecture that enables the development of custom agents to handle specific data processing needs. Each agent maintains

This project is a Python library designed for building, testing, and deploying autonomous agents that execute complex workflows. It functions as a multi-agent orchestration framework, enabling the creation of systems where specialized agents communicate, delegate tasks, and integrate with external services to complete multi-step automated processes. The framework distinguishes itself by combining deterministic code execution with adaptive language model reasoning. It utilizes structured graph-based logic and state-machine execution to maintain persistent context across multi-turn interactions

Dopamine is a reinforcement learning research framework designed for prototyping and testing algorithms across diverse simulated environments. It provides an agent development toolkit that utilizes a flat class hierarchy to facilitate the creation and extension of learning agents. The framework includes a standardization layer via environment wrappers that connect agents to various physics simulations and gaming environments. It also features a high-performance experience replay buffer for storing and sampling transition data to improve training stability, alongside a dedicated hyperparameter

PilotDeck is an LLM agent orchestration platform and agentic workflow manager designed to build and manage task-oriented AI agents. It serves as a multi-model router and an MCP server integration hub, connecting language models to external tools and data sources via the Model Context Protocol. The platform distinguishes itself through a transparent AI memory management system that allows users to view, edit, and delete memory entries to correct hallucinations. It implements a routing layer that directs tasks to the most suitable model based on complexity and performance requirements, supporti

Relation-graph is a frontend library designed for building interactive node-link diagrams and relationship visualizations within web applications. It provides a framework for rendering complex network structures that support manual manipulation, including zooming, dragging, and real-time structural editing. The library distinguishes itself through a framework-agnostic core that separates graph layout logic from the rendering layer. This architecture enables developers to inject custom HTML or framework-specific components directly into graph nodes and edges, allowing for highly tailored visua