🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

A configurable branch-role guard for AI coding agents (DSH / Claude Code / Codex / OpenCode / Antigravity / Pi / CodeBuddy / ZCode / Cursor) — zero-config defaults (develop+main) out of the box, deep-merge override, per-client native hooks via gitflow-gua

Mobile app automation and verification for AI coding agents. CLI, MCP server, and typed Node.js API for iOS, Android, HarmonyOS, TV, web, macOS, and Linux.

The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches

Turn human SOPs into deterministic, gated agentic workflows — a Claude Code plugin.

Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

Marketplace of domain-specific plugins for AI agents (Cowork, Claude Code, OpenClaw). Build autonomous business workflows for finance, banking, legal operations, and sales using modular agent skills and commands.

88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek Harness.

Persistent multi-model workflow teams for DeepSeek Harness — dynamic lead planning, bounded DAGs, per-agent model/tools, Run Center and Token insights.

全栈资讯处理与 AI Agent 系统。它能够自动化地从全球多源渠道抓取高质量资讯，利用顶级大语言模型进行深度总结，并将其分发至多种终端

Flow Agents keeps coding agents on track with evidence-backed workflows — a Kontour product that applies Flow and Veritas process discipline as a portable layer inside the agent tools you already use: Claude Code, Codex, Kiro, opencode, and pi — with fram

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

Trigger.dev – build and deploy durable AI agents and workflows

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

RFC-driven development for AI coding agents: idea or existing codebase → verified PRD → features → rules → sequenced RFCs → reviewed code. Agent Skills for Claude Code, Codex, Copilot, Cursor, Gemini CLI, OpenCode, Devin.

Multi-agent workflows with full observability and time travel: watch every step live, rewind, fork, and replay any run. Claude Code, Codex, Gemini, Hermes, OpenClaw, any model or harness.

Opinionated AI coding agent and dev environment automation for macOS

Multi-agent orchestration system for Claude Code - Inspired by oh-my-opencode

System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics

Agentic tooling for Sentry

把Claude Code的UltraCode模式带给DSH，把 DSH 的一次性多 Agent 调度，升级为可生成、可保存、可治理、可观察、可恢复的 Workflow 层

Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as Claude Code rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth.

A control plane with a durable state kernel for long-horizon agents and teams. Keep work moving and improving across sessions, with less human attention.

Claude Code plugin for multi-step workflow orchestration — automatic task decomposition, parallel agent execution, and specialized agent delegation with native plan mode integration.