Ai Workflow
13 items across the graph — tagged with Ai Workflow.
From the graph · 13
VibeSkills is a general-purpose Skill that automatically routes local Skills and intelligently orchestrates harness workflows.
Open-source multi-agent AI desktop client — build and command your AI agent team through conversation. A commander LLM dispatches sub-agents in parallel or in s…
Spec-driven, agentic workflow framework for AI coding agents. Turn a request into a verifiable goal loop — plan, act, verify — with durable specs and evidence i…
A structured prompt pipeline that turns vague ideas into implementable RFCs — works with any AI assistant.
The memory layer for AI-native development — giving AI persistent understanding of your software projects.
AI-native multi-agent research workflow: parallel evidence gathering, 7-direction debate, and risk-gated analysis — structured output, not one-shot prompts.
Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.
a self improving operating system for intelligence
One agent. Every surface. Your rules.
Structured planning and persistent context for AI coding agents. Plan multi-phase work once and any agent (Claude Code, Codex, OpenCode) executes it across sess…
Thinking in the Human · Processing in the AI · Truth in the Documentation
Spec-driven, multi-agent AI development for Claude Code: from specs to shipping via roundtable collaboration
A structured workflow system for AI coding agents - harness engineering, execution loop, skills, hooks, and a learning loop. Works with Claude Code, Codex, Anti…