Opcode

Zero-token execution layer for AI agents. Define workflows once, run them free forever — persistent, scheduled, deterministic. 6 MCP tools over SSE. Supports DAG-based execution, 6 step types (action, condition, loop, parallel, wait, reasoning), 26 built-in actions, ${{}} interpolation, reasoning nodes for human-in-the-loop decisions, and secret vault. Use when defining workflows, running templates, checking status, sending signals, querying workflow history, or visualizing DAGs.

S2G - General Purpose Workflow Engine

Connect to S2G (s2g.run) visual workflow automation platform over WebSocket. Execute workflow nodes as tools — password generators, hash functions, date math...

Couler

Unified interface for constructing and managing machine learning workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

OpenServ Multi Agent Workflows

Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orch...

SoulFlow — Agent Teams Workflow Skill

General-purpose AI workflow framework for OpenClaw. Build custom multi-step workflows for any task — dev, ops, research, content, or automation. Ships with dev workflow examples.

Chanai Search Workflow

External web search workflow for Chinese and global public-web information. Use when searching news, flights, prices, products, docs, tutorials, community po...

Forsy Agent Trace

Forsy Trace Skill captures AI agent workflows as structured traces: task context, steps, tool use, observations, feedback, failures, retries, artifacts, outcomes, and other learning signals. It is designed for agent workflow inspection, tool-use trajectory analysis, process-supervision research, agent evaluation, and reusable agent work experience. The skill includes a public trace format and schema for turning completed agent workflows into inspectable process data.