Infrastructure As Code

Terraform Skill for Claude Code and Codex. LLMs hallucinate a lot with Terraform - TerraShark fixes this. It eliminates hallucinations, is designed for modular and secure code and grounds your IaC in the official Hashicorp Terraform best practices.

Query, provision and operate Cloud and SaaS resources and APIs using an extensible SQL based framework

Cloud architecture diagrams in both directions: AI prompt or JSON to diagram, diagram to Terraform via MCP server, and Terraform to diagram via CLI or CI/CD. Using Official AWS, Azure and GCP icons.

Terraform & OpenTofu Skill for AI Agents - testing, modules, CI/CD, and production patterns

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Open-source GRC toolkit from the GRC Engineering Club. Claude Code plugins for evidence collection, SCF crosswalks, multi-framework gap reports, OSCAL workflows.

Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.

A platform designed for building enterprise-grade, multi-tenant products using Azure, .NET, React, TypeScript, Infrastructure as Code, etc.

Kortix CompanyOS – the open-source operating system for your company. Multiplayer AI agents, your company as code, sovereign on your infrastructure or ours.

Coordinate your coding agents like a group chat — read receipts, delivery tracking, and remote ops from your phone. One pip install, zero infrastructure. A production‑minded orchestrator for 24/7 workflow

Open source AI terminal for cloud and infrastructure management, enabling you to deploy, troubleshoot, and automate services using natural language and intelligent agents.

MCP server for the complete Zabbix API - 237 tools, multi-server, OAuth 2.1 + bearer auth, PDF reports, systemd ready. Works with ChatGPT, Claude, VS Code, Codex, JetBrains and any MCP client.

pctx is the execution layer for agentic tool calls. It auto-converts agent tools and MCP servers into code that runs in secure sandboxes for token-efficient workflows.

ChengOS is a visual AI data processing and agent workflow system. This directory contains deployment scripts, infrastructure configs, and runtime resources for production and development.

Ship your code, on autopilot. An open source agent that lives on your machines 24/7 and keeps your apps running. 🦀

Take your agent-built product live: hosting, database, domain, email, payments — on your own accounts. Open-source Agent Skill + zero-dependency Node CLI: detect → plan → approve → apply → verify. No GoLive account, backend or telemetry.

Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.

Give AI coding agents the context they need to ship production-quality software.

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

Every past session, subagent, and workflow -- queryable by your agent, browsable by you

One command for every interface—search, run, and inspect real software across APIs, browsers, desktops, local tools, and MCP.

Your Company Agentic Operating System

Grov automatically captures the context from your private AI sessions and syncs it to a shared team memory. It auto injects relevant memories across developers and future sessions to save tokens and time spent on tasks.

The browser control plane for AI agents. One API over Oya Cloud, Browserbase, Steel, Anchor, Browser Use and your own Chrome, with persistent personas, CAPTCHA and MFA handling, and live human takeover.

Persistent Intelligence Infrastructure for AI Agents

Co-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.

Let AI agents investigate and operate infrastructure through declared actions, bounded by policy and host-side checks. Approvals when required, with an audit trail.

Remote approvals, policy checks, and execution evidence for unattended AI agents.

More work. Less AI waste. Same subscriptions.

Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session operation, isolated multi-account browsing.