AI agents transform the DevOps sector: Browse our directory of intelligent solutions from trusted AI agency partners and automation experts.

Open-Source AI Agents for DevOps | AI Agent Store

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.

PentAGI (vxcontrol/pentagi) is an open-source autonomous AI agent system for penetration testing. It plans and executes complex offensive security workflows end-to-end, running professional pentesting tools (e.g., nmap, Metasploit, sqlmap and others) inside a sandboxed Docker environment for isolation. PentAGI includes multi-step task orchestration, a browser-based intelligence component for gathering current info, and a smart memory system to store findings and successful approaches for future assessments. It is intended for authorized security testing environments where you have explicit permission to run assessments.

PentAGI

pentagi

Open-source autonomous penetration testing agents that run 20+ security tools in an isolated Docker sandbox with memory and web intelligence.

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.

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.

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.

Playwright MCP is an open-source Model Context Protocol (MCP) server from Microsoft that exposes Playwright-powered browser automation as callable tools for AI agents. Instead of relying on screenshots or visually-tuned models, it provides structured page state (including accessibility snapshots) so an LLM can reliably understand and interact with live web pages—clicking, typing, waiting for selectors, navigating, and validating outcomes. It’s useful for AI-assisted web testing, agent-driven site exploration, and automations that need a real browser environment with deterministic, tool-based control.

Playwright MCP

playwright-mcp

An open-source MCP server that lets LLMs automate real browsers with Playwright using structured accessibility snapshots (no screenshots needed).

Trae Agent is an open-source, LLM-powered command-line assistant developed by ByteDance for software development workflows. It supports multi-LLM providers, file editing, bash execution, tool integration, trajectory logging, and a modular architecture—ideal for debugging, patching, documentation, and research.

Trae Agent

trae-agent

Open-source CLI LLM agent for automating software engineering tasks via natural-language commands.

Keploy is an open‑source AI test automation agent that uses eBPF to record live traffic and generate deterministic unit, integration, and API tests with mocks/stubs. It integrates with CI/CD, supports multiple languages, and uses multi‑model LLMs for test generation and self‑healing.

Keploy

keploy

An open‑source AI agent that auto‑generates and maintains unit, integration, and API tests with mocks.

Gemini CLI is Google's open‑source AI agent that integrates Gemini 2.5 Pro into the terminal. It supports a 1 million‑token context window, reasoning-and-act loops, Model Context Protocol, web grounding with Google Search, multimodal tasks (code, content, images, video), file manipulation, shell execution, and integration with Gemini Code Assist and MCP tools. It works on Windows, macOS, and Linux.

Gemini CLI

gemini-cli

An open‑source command‑line AI agent bringing Gemini 2.5 Pro into your terminal for coding, research, content and task automation.

Codex CLI is an open-source, terminal-native AI coding assistant developed by OpenAI. Designed for developers who prefer working directly in the terminal, it integrates OpenAI's latest models (like o4-mini) to perform tasks such as reading, modifying, and executing code within a local environment. Codex CLI supports multimodal inputs, allowing users to pass text, screenshots, or diagrams to generate or edit code accordingly. It offers three distinct approval modes—Suggest, Auto Edit, and Full Auto—providing flexibility in how autonomous the agent operates. The tool emphasizes security by running in a sandboxed, network-disabled environment and ensures that your source code remains on your machine unless explicitly shared. With zero-setup installation and compatibility with macOS, Linux, and experimental support for Windows via WSL, Codex CLI aims to streamline the development workflow by bringing powerful AI capabilities directly to the command line.

Codex CLI

codex-cli

Open-source terminal-based AI coding assistant that reads, writes, and executes code locally with multimodal input support.

SWE-Agent is an open-source platform developed by Princeton University's Natural Language Processing group that leverages large language models (LLMs), such as GPT-4, to function as autonomous software engineering agents. These agents can navigate codebases, identify and fix bugs, and resolve issues within real GitHub repositories. By utilizing a custom Agent-Computer Interface (ACI), SWE-Agent enhances the ability of LLMs to browse repositories, view, edit, and execute code files, thereby streamlining the software development process and improving efficiency.

SWE-Agent

swe-agent

An open-source AI tool that transforms large language models into software engineering agents capable of autonomously resolving issues in real GitHub repositories.

GPT Pilot is an open-source AI developer companion designed to assist in building scalable, production-ready applications. Utilizing models like GPT-4, it can write code, debug, and engage in conversations to clarify requirements or provide assistance. GPT Pilot is optimized for web app projects using Node.js, Express, and MongoDB, and integrates with Visual Studio Code to enhance the development workflow. By automating significant portions of coding tasks, it aims to increase developer productivity and streamline the software development process.

GPT Pilot

gpt-pilot

An AI-driven development tool that assists in creating production-ready applications by generating code and engaging in clarifying dialogues.

Open-Source AI Agents for "DevOps" Industry