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Orchestrate multi-step AI coding workflows as Graphviz DOT graphs with human approval gates, multi-model routing, and cloud sandboxes.
Fabro provides a CLI and runtime to define and run AI-driven workflows described as Graphviz DOT graphs. Workflows can include branching, loops, human-in-the-loop approval gates, model routing via stylesheet rules, sandboxed execution in cloud VMs, and automated retrospectives. It turns LLM turns into coordinated pipelines so agents execute complex tasks while humans intervene only when necessary.
Use Fabro when you need structured, repeatable AI workflows that combine planning, implementation, review, and testing stages; when you want human approval gates for safety; or when you need to run agent steps in isolated sandboxes for reproducibility and security. It's ideal for multi-model orchestration, automated test/fix loops, and long-running developer workflows.
Likely compatible with agent runtimes and CLI-driven LLM integrations such as Claude Code, Codex, and other LLM CLIs that can run shell installers or accept scripted prompts.
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OpenClaude — Multi-LLM Shim
Routes Claude Code tool calls through an OpenAI-compatible shim so Claude Code can use GPT-4o, Gemini, Ollama and other OpenAI-style models while preserving too
OpenMAIC — Interactive Multi-Agent Classroom
Generate interactive AI-powered lessons (slides, quizzes, simulations) from any topic or document using a multi-agent pipeline and TTS-enabled agents.