Awesome GitHub RepositoriesSkill Versioning Systems

This platform serves as a centralized management system for organizing, refining, and versioning AI instructions and agent skills. It functions as a repository that enables users to store, categorize, and retrieve structured prompts, ensuring consistent performance across various artificial intelligence models. By integrating with the Model Context Protocol, the system allows external AI assistants and development environments to discover and access these instruction libraries directly. The platform distinguishes itself through its focus on prompt engineering and automated refinement, utilizi

Multica is an autonomous coding agent manager and LLM agent orchestration platform. It coordinates teams of autonomous agents to execute coding tasks and manage their lifecycles through a centralized dashboard. The system provides multi-tenant agent workspaces that isolate agents, settings, and project issues into distinct organizational boundaries. The platform distinguishes itself through an agent skill library that captures successful task solutions as reusable, versioned skills. These skills are shared across the agent team and pinned using content hashes to ensure consistent behavior acr

Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention. The framework distinguishes itself through its focus on observability and secure, isolated execut

Lark CLI is a terminal-based tool designed for automating tasks and managing resources across the Lark and Feishu productivity ecosystem. It functions as a cloud workspace automator and REST API client, providing a command line interface to programmatically manage organizational documents, calendars, emails, and tasks. The project distinguishes itself through an AI agent skill framework that allows for the integration and deployment of both bundled and custom skills. It features an identity-aware execution context that enables switching between user and bot identities, and employs a sidecar-b

Llama-stack est une pile d'orchestration standardisée et une passerelle API pour l'IA générative. Il fournit une couche de communication unifiée et une interface cohérente pour déployer, gérer et interagir avec divers fournisseurs et déploiements de grands modèles de langage (LLM). Le système fonctionne comme un framework d'agents qui gère l'exécution des outils et des bundles de compétences versionnés pour automatiser des tâches complexes. Il inclut un système de traitement par lots pour gérer de grands volumes de requêtes asynchrones via un traitement hors ligne et une interface de base de données vectorielle pour stocker et rechercher des documents afin de permettre la génération augmentée par récupération (RAG). La pile couvre des capacités de haut niveau, notamment l'orchestration d'agents IA, le déploiement de modèles et la standardisation des API de modèles pour permettre de basculer entre les fournisseurs sans réécrire le code de l'application.

OpenSkills is an agent capability orchestrator and skill manager designed to sync, version, and distribute standardized skill definitions across autonomous agent environments. It functions as a system for installing domain-specific instruction sets and specialized knowledge into large language model agents, acting as a context injector to load task-oriented prompts and technical documentation into an agent's active operational window. The project distinguishes itself through a git-based distribution framework, allowing agent capabilities to be fetched and updated from remote version control s

mistral.rs is an inference engine for large language models that runs locally and exposes models behind OpenAI and Anthropic-compatible APIs. It serves as a multi-model serving platform, capable of loading several models in a single server process with per-request routing and on-demand loading and unloading. The engine supports multimodal inference, processing text alongside images, video, audio, and speech inputs, and includes a quantized model deployment runtime that reduces memory use and speeds up inference on consumer hardware. The project distinguishes itself through an agentic tool exe

Skills is a command-line tool for managing reusable instruction sets, called skills, that configure the behavior of AI coding agents. It provides a versioned registry of agent prompts that can be discovered, installed, updated, and removed through a CLI interface, with skills stored as declarative configuration files injected directly into a project's file system. The tool supports the full lifecycle of agent skill management, including searching a public registry by keyword, browsing a leaderboard of community-contributed skills, inspecting remote repositories before installation, and genera

MemOS is an open-source persistent memory layer for AI agents and large language models, providing a self-hosted server that stores and retrieves structured memory across sessions. It enables AI systems to recall user preferences, history, and context without retraining, using a graph-based API and a web management interface for viewing, editing, and organizing memory items, skills, traces, and knowledge bases. The system distinguishes itself through a portable memory interchange protocol that allows memory to be transferred between different AI models, devices, and applications, along with a