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manim-cli

v0.1.2

Published

Production-ready npm wrapper for Manim Community with agent workflows and multi-provider TTS

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Links

Maintainers

rishiskharerishiskhare

Keywords

manimttscliopenaikokoroqwenchatterbox

Readme

manim-cli

manim-cli is an npm-distributed wrapper for Manim Community Edition with:

  • Manim-compatible render commands
  • Agent-oriented pipeline commands for Codex/Claude Code
  • Local-first multi-provider TTS with Kokoro as the default provider
  • OpenAI cloud fallback and managed voice/profile configuration

Status

This repository contains:

  • the npm CLI
  • agent workflow and proposal gating
  • managed runtime bundle installation
  • local-first TTS orchestration
  • runtime packaging scripts and fixture tests

Managed Runtime

manim-cli is designed for a zero-manual-install setup flow on supported platforms:

  1. npm install -g manim-cli
  2. manim-cli setup
  3. manim-cli downloads and verifies a platform bootstrap bundle, then creates the managed runtime locally at its final install path

Supported runtime targets:

  • darwin-arm64
  • darwin-x64
  • linux-x64
  • linux-arm64
  • win32-x64

Important detail:

  • Manim Community no longer requires an external ffmpeg binary for rendering itself.
  • manim-cli still bundles ffmpeg and ffprobe because the CLI uses them for captions, muxing, and final composition.

Runtime bootstrap bundles are published as GitHub Release assets and referenced by the release-generated runtime/runtime-manifest.json. That file is intentionally empty in the repo until real platform assets are built and published. See runtime/README.md for the bootstrap-bundle format, provisioning commands, release asset naming, rollback policy, and clean-machine acceptance checklist.

GitHub automation

This repo ships with:

Setup required before these workflows will work:

  1. Add OPENAI_API_KEY to GitHub Actions secrets
  2. Optionally add a repository variable OPENAI_REVIEW_MODEL
  3. Re-run the workflow

These workflows use the OpenAI Responses API and default to gpt-5-codex, which OpenAI documents as a coding-optimized model available in the Responses API. OpenAI also documents Codex SDK/API use in CI/CD contexts and shows Responses API examples that read OPENAI_API_KEY from the environment: Code generation guide, GPT-5-Codex model, API libraries/auth setup.