OpenClaw Kubernetes Operator is a platform for self-hosting AI agents on Kubernetes with production-grade security, observability, and lifecycle management. It allows users to run OpenClaw AI agents on their own infrastructure, managing inboxes, calendars, smart homes, and more through various integrations. The operator encodes network isolation, secret management, persistent storage, health monitoring, optional browser automation, and config rollouts into a single custom resource 'OpenClawInstance'. It manages a stack of Kubernetes resources ensuring security, monitoring, and self-healing. Features include declarative configuration, security hardening, built-in metrics, provider-agnostic config, config modes, skill installation, auto-update, backup/restore, workspace seeding, gateway auth, Tailscale integration, self-configuration, extensibility, cloud-native features, and more.

AI agent tooling for data engineering workflows. Includes an MCP server for Airflow, a CLI tool for interacting with Airflow from your terminal, and skills that extend AI coding agents with specialized capabilities for working with Airflow and data warehouses. Works with Claude Code, Cursor, and other agentic coding tools. The tool provides a comprehensive set of features for data discovery & analysis, data lineage, DAG development, dbt integration, migration, and more. It also offers user journeys for data analysis flow and DAG development flow. The Airflow CLI tool allows users to interact with Airflow directly from the terminal. The tool supports various databases like Snowflake, PostgreSQL, Google BigQuery, and more, with auto-detected SQLAlchemy databases. Skills are invoked automatically based on user queries or can be invoked directly using specific commands.

LocalGPT is a local device focused AI assistant built in Rust, providing persistent memory and autonomous tasks. It runs entirely on your machine, ensuring your memory data stays private. The tool offers a markdown-based knowledge store with full-text and semantic search capabilities, hybrid web search, and multiple interfaces including CLI, web UI, desktop GUI, and Telegram bot. It supports multiple LLM providers, is OpenClaw compatible, and offers defense-in-depth security features such as signed policy files, kernel-enforced sandbox, and prompt injection defenses. Users can configure web search providers, use OAuth subscription plans, and access the tool from Telegram for chat, tool use, and memory support.

Factorio Learning Environment is an open source framework designed for developing and evaluating LLM agents in the game of Factorio. It provides two settings: Lab-play with structured tasks and Open-play for building large factories. Results show limitations in spatial reasoning and automation strategies. Agents interact with the environment through code synthesis, observation, action, and feedback. Tools are provided for game actions and state representation. Agents operate in episodes with observation, planning, and action execution. Tasks specify agent goals and are implemented in JSON files. The project structure includes directories for agents, environment, cluster, data, docs, eval, and more. A database is used for checkpointing agent steps. Benchmarks show performance metrics for different configurations.

GPT-Load is a high-performance, enterprise-grade AI API transparent proxy service designed for enterprises and developers needing to integrate multiple AI services. Built with Go, it features intelligent key management, load balancing, and comprehensive monitoring capabilities for high-concurrency production environments. The tool serves as a transparent proxy service, preserving native API formats of various AI service providers like OpenAI, Google Gemini, and Anthropic Claude. It supports dynamic configuration, distributed leader-follower deployment, and a Vue 3-based web management interface. GPT-Load is production-ready with features like dual authentication, graceful shutdown, and error recovery.

Jido is a toolkit for building autonomous, distributed agent systems in Elixir. It provides the foundation for creating smart, composable workflows that can evolve and respond to their environment. Geared towards Agent builders, it contains core state primitives, composable actions, agent data structures, real-time sensors, signal system, skills, and testing tools. Jido is designed for multi-node Elixir clusters and offers rich helpers for unit and property-based testing.

The MCP Server for Apache Spark History Server is a tool that connects AI agents to Apache Spark History Server for intelligent job analysis and performance monitoring. It enables AI agents to analyze job performance, identify bottlenecks, and provide insights from Spark History Server data. The server bridges AI agents with existing Apache Spark infrastructure, allowing users to query job details, analyze performance metrics, compare multiple jobs, investigate failures, and generate insights from historical execution data.

Skylos is a privacy-first SAST tool for Python, TypeScript, and Go that bridges the gap between traditional static analysis and AI agents. It detects dead code, security vulnerabilities (SQLi, SSRF, Secrets), and code quality issues with high precision. Skylos uses a hybrid engine (AST + optional Local/Cloud LLM) to eliminate false positives, verify via runtime, find logic bugs, and provide context-aware audits. It offers automated fixes, end-to-end remediation, and 100% local privacy. The tool supports taint analysis, secrets detection, vulnerability checks, dead code detection and cleanup, agentic AI and hybrid analysis, codebase optimization, operational governance, and runtime verification.

Prometheus MCP Server is a Model Context Protocol (MCP) server that provides access to Prometheus metrics and queries through standardized interfaces. It allows AI assistants to execute PromQL queries and analyze metrics data. The server supports executing queries, exploring metrics, listing available metrics, viewing query results, and authentication. It offers interactive tools for AI assistants and can be configured to choose specific tools. Installation methods include using Docker Desktop, MCP-compatible clients like Claude Desktop, VS Code, Cursor, and Windsurf, and manual Docker setup. Configuration options include setting Prometheus server URL, authentication credentials, organization ID, transport mode, and bind host/port. Contributions are welcome, and the project uses `uv` for managing dependencies and includes a comprehensive test suite for functionality testing.

MCP DevTools is a high-performance server written in Go that replaces multiple Node.js and Python-based servers. It provides access to essential developer tools through a unified, modular interface. The server is efficient, with minimal memory footprint and fast response times. It offers a comprehensive tool suite for agentic coding, including 20+ essential developer agent tools. The tool registry allows for easy addition of new tools. The server supports multiple transport modes, including STDIO, HTTP, and SSE. It includes a security framework for multi-layered protection and a plugin system for adding new tools.

Skilld is a tool that generates AI agent skills from NPM dependencies, allowing users to enhance their agent's knowledge with the latest best practices and avoid deprecated patterns. It provides version-aware, local-first, and optimized skills for your codebase by extracting information from existing docs, changelogs, issues, and discussions. Skilld aims to bridge the gap between agent training data and the latest conventions, offering a semantic search feature, LLM-enhanced sections, and prompt injection sanitization. It operates locally without the need for external servers, providing a curated set of skills tied to your actual package versions.

A secure and scalable Git MCP server providing AI agents with powerful version control capabilities for local and serverless environments. It offers 28 comprehensive Git operations organized into seven functional categories, resources for contextual information about the Git environment, and structured prompt templates for guiding AI agents through complex workflows. The server features declarative tools, robust error handling, pluggable authentication, abstracted storage, full-stack observability, dependency injection, and edge-ready architecture. It also includes specialized features for Git integration such as cross-runtime compatibility, provider-based architecture, optimized Git execution, working directory management, configurable Git identity, safety features, and commit signing.

optillm is an OpenAI API compatible optimizing inference proxy implementing state-of-the-art techniques to enhance accuracy and performance of LLMs, focusing on reasoning over coding, logical, and mathematical queries. By leveraging additional compute at inference time, it surpasses frontier models across diverse tasks.

Sim is a platform that allows users to build and deploy AI agent workflows quickly and easily. It provides cloud-hosted and self-hosted options, along with support for local AI models. Users can set up the application using Docker Compose, Dev Containers, or manual setup with PostgreSQL and pgvector extension. The platform utilizes technologies like Next.js, Bun, PostgreSQL with Drizzle ORM, Better Auth for authentication, Shadcn and Tailwind CSS for UI, Zustand for state management, ReactFlow for flow editor, Fumadocs for documentation, Turborepo for monorepo management, Socket.io for real-time communication, and Trigger.dev for background jobs.

Stable Diffusion WebUI Docker Image allows users to run Automatic1111 WebUI in a docker container locally or in the cloud. The images do not bundle models or third-party configurations, requiring users to use a provisioning script for container configuration. It supports NVIDIA CUDA, AMD ROCm, and CPU platforms, with additional environment variables for customization and pre-configured templates for Vast.ai and Runpod.io. The service is password protected by default, with options for version pinning, startup flags, and service management using supervisorctl.

The 'vscode-unify-chat-provider' repository is a tool that integrates multiple LLM API providers into VS Code's GitHub Copilot Chat using the Language Model API. It offers free tier access to mainstream models, perfect compatibility with major LLM API formats, deep adaptation to API features, best performance with built-in parameters, out-of-the-box configuration, import/export support, great UX, and one-click use of various models. The tool simplifies model setup, migration, and configuration for users, providing a seamless experience within VS Code for utilizing different language models.

OpenClaw Kubernetes Operator is a platform for self-hosting AI agents on Kubernetes with production-grade security, observability, and lifecycle management. It allows users to run OpenClaw AI agents on their own infrastructure, managing inboxes, calendars, smart homes, and more through various integrations. The operator encodes network isolation, secret management, persistent storage, health monitoring, optional browser automation, and config rollouts into a single custom resource 'OpenClawInstance'. It manages a stack of Kubernetes resources ensuring security, monitoring, and self-healing. Features include declarative configuration, security hardening, built-in metrics, provider-agnostic config, config modes, skill installation, auto-update, backup/restore, workspace seeding, gateway auth, Tailscale integration, self-configuration, extensibility, cloud-native features, and more.

AI2Apps is a visual IDE for building LLM-based AI agent applications, enabling developers to efficiently create AI agents through drag-and-drop, with features like design-to-development for rapid prototyping, direct packaging of agents into apps, powerful debugging capabilities, enhanced user interaction, efficient team collaboration, flexible deployment, multilingual support, simplified product maintenance, and extensibility through plugins.

ApeRAG is a production-ready platform for Retrieval-Augmented Generation (RAG) that combines Graph RAG, vector search, and full-text search with advanced AI agents. It is ideal for building Knowledge Graphs, Context Engineering, and deploying intelligent AI agents for autonomous search and reasoning across knowledge bases. The platform offers features like advanced index types, intelligent AI agents with MCP support, enhanced Graph RAG with entity normalization, multimodal processing, hybrid retrieval engine, MinerU integration for document parsing, production-grade deployment with Kubernetes, enterprise management features, MCP integration, and developer-friendly tools for customization and contribution.

LocalTopSH is an AI Agent Framework designed for companies and developers who require 100% on-premise AI agents with data privacy. It supports various OpenAI-compatible LLM backends and offers production-ready security features. The framework allows simple deployment using Docker compose and ensures that data stays within the user's network, providing full control and compliance. With cost-effective scaling options and compatibility in regions with restrictions, LocalTopSH is a versatile solution for deploying AI agents on self-hosted infrastructure.

One source of truth for AI CLI skills. Sync everywhere with one command — from personal to organization-wide. Stop managing skills tool-by-tool. `skillshare` gives you one shared skill source and pushes it everywhere your AI agents work. Safe by default with non-destructive merge mode. True bidirectional flow with `collect`. Cross-machine ready with Git-native `push`/`pull`. Team + project friendly with global skills for personal workflows and repo-scoped collaboration. Visual control panel with `skillshare ui` for browsing, install, target management, and sync status in one place.

AI Factory is a CLI tool and skill system that streamlines AI-powered development by handling context setup, skill installation, and workflow configuration. It supports multiple AI coding agents, offers spec-driven development, and integrates with popular tech stacks like Next.js, Laravel, Django, and Express. The tool ensures zero configuration, best practices adherence, community skills utilization, and multi-agent support. Users can create plans, tasks, and commits for structured feature development, bug fixes, and self-improvement. Security is a priority with mandatory two-level scans for external skills. The tool's learning loop generates patches from bug fixes to enhance future implementations.

AI Native Camp - 1기 is a 7-day intensive camp designed for non-developers to learn Claude Code skills. The curriculum includes hands-on learning experiences with Claude guiding, teaching, and practicing skills daily. Participants can install the entire curriculum or specific skills for each day using simple commands. The camp focuses on creating skills by learning how to make skills, and it aims to change participants' work methods permanently. Upon completion, participants become part of the Claude Code community, equipped with new skills and knowledge.

Agent Skills is a secure, validated skill registry for professional AI coding agents. It provides a library of verified, tested, and safe capabilities to extend various AI agents with confidence. The tool addresses security concerns in marketplace skills by offering 100% open-source code, static analysis for credential theft prevention, immutable integrity to prevent supply chain attacks, and human curation to ensure safety boundaries. Users can install skills through an interactive wizard, choose from a variety of supported AI coding agents, and benefit from a growing catalog of featured skills for development, cloud, automation, design, and security tasks.

Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.