CocoRoF

Geny Executor — Data skill for Claude Code

Data community

Manifest-driven 21-stage agent pipeline for Python — 5 LLM backends (Anthropic / OpenAI / Google / vLLM / Claude Code CLI), tools, skills, memory, sandboxed CLI runs, MCP.

How to install Geny Executor

This entry records only its repository, not the path inside it, so there is no exact command to give. Open CocoRoF/geny-executor and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Geny Executor does

Manifest-driven 21-stage agent pipeline for Python — 5 LLM backends (Anthropic / OpenAI / Google / vLLM / Claude Code CLI), tools, skills, memory, sandboxed CLI runs, MCP. The engine behind Geny. Apache-2.0.

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README

geny-executor

[![PyPI version](https://img.shields.io/pypi/v/geny-executor.svg)](https://pypi.org/project/geny-executor/) [![Python 3.11+](https://img.shields.io/pypi/pyversions/geny-executor.svg)](https://pypi.org/project/geny-executor/) [![License: Apache 2.0](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE) [![CI](https://github.com/CocoRoF/geny-executor/actions/workflows/ci.yml/badge.svg)](https://github.com/CocoRoF/geny-executor/actions/workflows/ci.yml)

**A harness-engineered agent pipeline library — 21 stages, 5 LLM providers, MCP-native, fully introspectable.**

geny-executor implements a **21-stage pipeline** with **dual-abstraction architecture** (stage slots × strategy slots). Inspired by Claude Code's agent loop and Anthropic's harness design principles. No LangChain. No LangGraph. Just an explicit, modular pipeline where every step is observable, mutatable, and swappable.

[한국어 README](README_ko.md) · [Architecture](docs/architecture.md) · [Providers](docs/providers.md) · [Error codes](docs/error_codes.md) · [Claude Code CLI host](docs/claude_code_cli.md)


The Geny ecosystem

These projects are built to work together. **Geny** is the product at the top of the stack; everything below is a building block you can also use on its own. **➡️ marks where you are.**

Project What it is Role in the stack
**Geny** Multi-agent VTuber + autonomous-worker platform The product — uses every project below
➡️ **geny-executor** 21-stage, manifest-driven agent pipeline · PyPI · Apache-2.0 The engine everything runs on
**GAPT** Self-hosted AI DevOps platform — sandbox · edit · build · deploy Where agents safely touch real repos
**geny-avatar** 2D live-avatar editor with AI texture generation Where Geny's faces are