AI agents directory for automation engineers: Connect with solutions by renowned AI agencies and automation experts.

AI Agents for automation engineers | AI Agent Store

n8n is an open-source workflow automation platform that allows users to design and automate complex workflows by connecting various applications and services. With its AI-native capabilities, n8n enables the integration of AI agents, facilitating tasks such as data analysis, content generation, and process automation. Users can build autonomous, multi-step agents, chat with their own data and tools, and plug into their own products using any model, including self-hosted ones. n8n offers a user-friendly interface combined with the flexibility of coding in JavaScript or Python, making it suitable for both technical and non-technical users. The platform supports over 400 integrations, providing limitless possibilities for automation across various industries.

An open-source workflow automation tool enabling seamless integration of AI agents and services.

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.

Awesome OpenClaw Use Cases is a community-curated repository that collects practical, real-world OpenClaw workflows and examples. It’s intended to help users and developers discover how people use OpenClaw to make life easier, providing inspiration and patterns that can be copied, adapted, and extended into new skills and automations. The repo acts as a living catalog of use cases rather than a standalone tool, enabling faster onboarding and idea discovery for building with OpenClaw.

Awesome OpenClaw Use Cases

awesome-openclaw-use-cases

Community list of real OpenClaw use cases and workflows to copy, adapt, and extend for personal and developer productivity.

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.

memU is an open-source memory infrastructure for LLM applications and AI agents, designed for long-running, always-on assistants that need persistent, evolving memory. It organizes memories like a file system (categories as folders, memory items as files, cross-links as symlinks) and supports proactive behavior such as capturing user intent, predicting next steps, and injecting relevant memory into the agent’s context. memU aims to reduce token spend for continuous agents by caching insights and avoiding redundant LLM calls, and it includes companion components like a backend service (memU-server) and a web UI (memU-ui). In addition to the open-source framework, memU offers hosted APIs (Memory API / Response API) with usage-based pricing and a “start free” path.

memU

memu

Open-source agentic memory framework for 24/7 proactive AI agents with file-system memory, intention prediction, and lower token costs.

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.

Bright Data Web MCP is an open-source Model Context Protocol (MCP) server that connects AI assistants to the live public web with built-in unblocking to avoid CAPTCHAs and rate limits. It provides tools for real-time web search, page fetching and scraping (including via Bright Data’s web unlocker), and optional browser automation for navigating and interacting with dynamic sites. It supports a free “Rapid” tier (limited toolset and monthly request allowance) and paid usage-based modes that unlock additional tool groups such as browser control and broader web data tooling. It can be used via Bright Data’s hosted MCP endpoint or run locally via an npm package.

Bright Data Web MCP

bright-data-web-mcp

MCP server that gives AI agents reliable web search, scraping, and browser automation with 5,000 free monthly requests.

Mastra is an all-in-one TypeScript framework for building AI-powered applications and agents. It supports core agent patterns like tools, workflows/orchestration, RAG, memory, MCP integration, and evals, designed to go from prototype to production inside your own codebase. Mastra also offers an optional Mastra Cloud/Platform experience with a Studio for testing agents and workflows plus AI-focused observability (structured logs, tracing, and eval dashboards) and deployment integrations.

Mastra

mastra

Open-source TypeScript framework for building AI agents, workflows, RAG, memory and MCP, with optional cloud studio and observability.

OpenCode is an open-source AI coding agent designed to help developers plan, implement, and refactor code from a terminal-first workflow, with options to use it as a desktop app or IDE extension. It can connect to multiple model providers (or use included free models), apply changes across a codebase, and support common developer flows like asking questions, adding features, making edits, and undoing changes. OpenCode also integrates with GitHub workflows: you can mention a command in issues or pull requests to have it execute tasks inside a GitHub Actions runner.

OpenCode

opencode

Open-source AI coding agent for terminal, desktop, and IDEs—plans changes, edits code, and can run tasks in GitHub via comments.