Automation Framework

A Discord bot that brings Claude Code to your channels so you can chat, run shell/git, and manage branches. Access from any local, VM, or Docker instance with full capebilty of claude code!

End-to-end AI video production pipeline for agentic frameworks. Combines HyperFrames & Remotion for structural web layouts, FFmpeg for video encoding, and Whisper for automated audio timestamping and caption alignment.

AEO Automation Framework for Claude Code One-click, beginner friendly automation for GitHub. Includes a dedicated fleet of AEO sub-agents handling planning, execution, reports, actionable items, and executive summaries. Trigger work instantly with AEO slash-commands. Fully integrated as a Claude Code Skill and usable across Claude AI App

Java test automation framework for web, mobile, API, CLI, database, and desktop E2E testing with a fluent API and built-in reporting.

Making all software agent-native. Automated CLI tool-generation and unified command-line interfaces for autonomous LLMs and agent frameworks.

Open GUI agent framework for operating computer desktop environments across macOS, Windows, and Linux using visual grounded navigation.

The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.

JSON-driven multi-agent cadence-team development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution

MCP server and Python SDK that generates, runs and refines AI agent workflows from natural language (Generative Workflow, A2A, FastAPI).

A curated list of awesome top best AI Agents

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.

The most autonomous AI agent framework: runs unattended on GitHub Actions, self-healing skills, drives Claude Code, Grok, Codex & more. No approval loops. Configure once, forget forever.

RikkaHub Agent · Pure — an Android AI agent that survives long runs. Independent hardening pass on the rikkahub on-device agent: usage ledger & budgets, on-demand tools, expert sub-agents, cold memory, chained workflows. Kotlin/Compose, Shizuku/Termux/MCP. QQ group 1030362371.

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Open-source AI office assistant for your desktop: describe the result or file you want in one sentence, and Abu plans and does the rest. Local-first, with Claude, OpenAI, DeepSeek and Ollama.

Agent Package Manager

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows.

🕷️ The BEST Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev

Universal development automation for ANY project. Claude Code implements features, runs tests, creates PRs autonomously. 15+ framework presets or custom commands. Issue-driven, secure, scalable. Save 20-100 hrs/month. MIT license.

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.

Outcome driven agent development framework that evolves

基于 Bridge Framework 的抖音全自动评论管理工具。搜索视频、爬取全量评论（含嵌套回复）、AI 智能回复、运营仪表盘。

Simple, flexible workflow orchestration for multi-agent AI apps, with YAML configuration, runtime safety, observability, and resume support.

Scale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation.