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.

Claude Code Telegram Bot is an open-source project that connects Telegram to the Claude Code CLI so you can analyze, edit, and work with codebases from your phone using natural language. It maintains context with automatic per-project session persistence, supports working across repositories (including GitHub CLI and git workflows), and can send proactive notifications triggered by webhooks, scheduled jobs, or CI/CD events. The project emphasizes security with built-in authentication, directory sandboxing to an approved workspace, and audit logging for actions taken through the bot.

Claude Code Telegram Bot

claude-code-telegram-bot

Open-source Telegram bot that gives remote, chat-based access to Claude Code with per-project session persistence and safe directory sandboxing.

GitNexus is a privacy-focused, zero-server code intelligence engine that runs entirely in the browser. You can load a GitHub repository or a ZIP file and GitNexus will parse the codebase into an interactive knowledge graph to help understand dependencies, call chains, execution flows, and architectural “blast radius” for changes. It includes a built-in Graph RAG agent for code exploration and question answering over the generated graph, and is designed to be useful alongside AI coding assistants by providing richer structural context than plain text retrieval alone.

GitNexus

gitnexus

Zero-server code intelligence engine that builds an in-browser knowledge graph over a repo and includes a Graph RAG agent for exploration.

Manifest is an AI agent observability tool focused on cost transparency for OpenClaw agents. It provides real-time token and cost tracking across agents and actions, helping teams identify expensive tasks and runaway context before bills spike. Manifest emphasizes privacy by collecting telemetry metadata rather than prompts/messages, and it supports self-hosted deployment so data can remain inside your network. It also includes notifications and thresholds to alert you when an agent approaches or exceeds spending limits.

Manifest

manifest

Real-time cost observability for OpenClaw agents: track tokens, actions, and spend with self-hosted deployment and alerts.

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.