devops engineers AI agents marketplace: Browse our curated directory of smart digital assistants for enterprise automation and workflow optimization.

AI Agents for devops engineers | AI Agent Store

Awesome OpenClaw Skills is a curated GitHub repository that catalogs community-built skills for OpenClaw (previously Moltbot / Clawdbot). Skills extend OpenClaw with integrations, automations, and specialized capabilities. The repo’s goal is discovery: it organizes thousands of published skills by category and provides links so users can quickly find what they need and install the right extensions for their workflows. It’s a resource/directory rather than a standalone agent or runtime.

Awesome OpenClaw Skills

awesome-openclaw-skills

Curated directory of 2,999+ community-built OpenClaw skills, organized by category to help you discover and install extensions.

thepopebot is an open-source template for deploying a 24/7 autonomous AI agent using GitHub Actions as the execution environment. You interact with the agent via Telegram (or a webhook). An event handler creates a job branch, GitHub Actions spins up a Docker container that runs the “Pi” coding agent, and the agent completes the task by committing changes and opening a pull request. Optional auto-merge workflows can merge results automatically. The project emphasizes security by filtering secrets at the process level so the agent cannot access them directly, and it treats the git repository history as the agent’s auditable, reversible memory.

thepopebot

Open-source autonomous coding agent that runs on GitHub Actions, does work in Docker, commits changes, and notifies you on Telegram.

PicoClaw is an open-source, ultra-lightweight personal AI assistant from Sipeed, designed to deliver an OpenClaw-like experience on low-cost, resource-constrained devices. It is written in Go and targets embedded Linux boards (including low-end RISC-V) with a memory footprint under 10MB and very fast startup. PicoClaw connects to chat platforms (such as Telegram and Discord) via gateway components, and it relies on external LLM providers through API keys configured in a local config file. The project ships as a single portable binary across common architectures (RISC-V, ARM, x86_64), making it easy to deploy on inexpensive hardware for personal automation and experimentation.

PicoClaw

picoclaw

Ultra-lightweight OpenClaw-style personal assistant that runs on embedded Linux boards (<10MB RAM) with Telegram/Discord gateways.

ClawWatcher is a monitoring dashboard for OpenClaw that provides real-time visibility into what your agent is doing and what it costs. It focuses on cost transparency—tracking tokens (including input/output split), actions/tool calls, and dollars per task—so builders can identify inefficient prompts, expensive defaults, and workflows that burn budget unexpectedly. The product is positioned as a lightweight observability layer for OpenClaw usage and spend analysis to help teams reduce costs and debug agent behavior.

ClawWatcher

clawwatcher

Real-time OpenClaw monitoring that breaks down token spend, actions, and cost per task so you can spot waste and optimize prompts.

ClawHub is a skill registry/marketplace built for OpenClaw-style agents. It lets developers publish AgentSkills bundles, version them like npm (semver, changelogs, updates), and make them discoverable via vector (semantic) search. Users can search and install skills quickly (including via a CLI), enabling agents to gain new capabilities through reusable, shareable skill packages. ClawHub is positioned as the “skill dock” for agent extensions and community-contributed skills.

ClawHub

clawhub

Skill registry for OpenClaw agents: publish, version, and install AgentSkills bundles with semantic (vector) search and CLI tooling.

Tailscale is a secure connectivity platform that creates a private mesh network (“tailnet”) between devices and services using WireGuard as the data plane and a control plane for identity, key distribution, and policy. It’s commonly used by developers to give servers, containers, and services private, authenticated access without exposing ports publicly. For AI agent developers, it’s useful for securely connecting self-hosted agent runners, internal APIs, databases, vector stores, and automation tools across clouds and local machines. Tailscale includes features like ACL-based access policies, MagicDNS, device sharing, subnet routing, and exit nodes for routing traffic through a trusted device.

Tailscale

tailscale

Secure mesh VPN built on WireGuard for private access to devices and services, useful for self-hosted AI agent stacks and tooling.

Skill Scanner is an open-source security scanner for AI agent skills that helps developers and security teams assess whether a skill is safe to use. It detects threats such as prompt injection, data exfiltration attempts, and malicious code patterns by combining multiple analysis engines, including pattern-based detection (YAML + YARA), behavioral dataflow analysis, and LLM-assisted semantic review. It is designed for CI/CD usage and supports SARIF output for GitHub Code Scanning, enabling automated gating and actionable reports with file locations, severity, and remediation guidance. The project supports skill formats such as OpenAI Codex Skills and Cursor Agent Skills that follow the Agent Skills specification.

Skill Scanner

skill-scanner

Open-source security scanner for agent skills to detect prompt injection, data exfiltration, and malicious code patterns with SARIF output.

Amp is an agentic coding tool by Sourcegraph that runs in the terminal and editor extensions (including VS Code and compatible forks). It is designed for complex coding tasks such as multi-file edits, planning, and execution using multiple frontier model options. Amp includes a threads feature to save and share interactions, and offers “Amp Free” with a daily credit grant supported by sponsor ads, plus pay-as-you-go usage with no markup for individuals after the free allowance.

Agentic coding tool for terminal and editors that uses multiple frontier models, with a free $10/day grant and pay-as-you-go pricing.

Ralph is an open-source autonomous AI coding loop that repeatedly runs an AI coding tool (Amp CLI or Claude Code) until every item in a Product Requirements Document (PRD) is finished. Each iteration starts with clean context, while progress persists through git history and project files like prd.json and progress.txt. Ralph is designed to help developers ship features with minimal manual intervention by continuously planning, implementing, committing changes, and checking off PRD items in a structured loop.

Ralph

ralph

Autonomous AI coding loop that repeatedly runs Amp or Claude Code until all PRD items are completed, using git history as memory.

Codiga (now part of Datadog) is a customizable static code analysis platform that runs in IDEs and CI/CD to detect code quality issues, security vulnerabilities, duplicated/complex code, and leaked secrets. It supports custom rules and rulesets created in a browser and can provide automated code reviews on platforms like GitHub/GitLab/Bitbucket, with fast feedback and automated fixes (“autofix”) directly in the developer workflow. Codiga also includes a separate “Coding Assistant” product focused on team code snippets and reusable patterns integrated into popular IDEs.

Codiga

codiga

Static code analysis and automated code reviews with IDE/CI integrations, security rulesets, custom rules, and one-click autofix.

New API is an open-source LLM gateway and AI interface management system that aggregates multiple AI providers behind a unified, OpenAI-compatible API. It supports format conversion (OpenAI/Claude/Gemini-style), model and channel management, weighted routing and failover, rate limiting and quotas, token-based access control, and API call auditing. The platform includes dashboards for usage and cost analytics, and exposes management and model APIs (chat, completions, embeddings, rerank, moderation, images, audio, and video) to simplify building applications that rely on multiple model vendors.

New API

new-api

Open-source LLM gateway that unifies OpenAI/Claude/Gemini-style APIs with routing, quotas, billing, auditing, and usage analytics.

CAST AI is an application performance automation platform for Kubernetes that helps teams reduce cloud spend and improve workload performance through automated optimization. It provides Kubernetes cost and performance monitoring, then adds automation such as intelligent autoscaling, rightsizing, bin packing, and Spot Instance orchestration with fallback to maintain reliability. CAST AI supports major managed Kubernetes services (EKS, GKE, AKS) and other environments, and offers usage-based plans with a free tier for monitoring plus paid tiers for automated optimization features.

CAST AI

cast-ai

Kubernetes automation platform that optimizes cost and performance with autoscaling, rightsizing, Spot automation, and monitoring.