ppt-master vs browser-use
Two of the top projects in Agent frameworks and SDKs, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
ppt-master
Agent skill that turns documents into natively editable PowerPoint decks
browser-use
Python library that lets an LLM agent control a web browser
Verdict
ppt-master ranks higher, 90 to 88. Of the 4 score parts we measure for both, ppt-master leads on 1, browser-use on 1 and 2 are even.
- Adoptionbrowser-use leads by 15 points, 94 to 79: a wide gap.
- FreshnessEven at 100.
- Maintenanceppt-master leads by 23 points, 99 to 76: a wide gap.
- Agent-readyEven at 70.
Pick ppt-master if you are
People who want editable PowerPoint decks generated from documents by an agent
- Exports native PowerPoint objects (shapes, charts, tables), not flattened images
- Runs on your machine; only model API calls leave it
Pick browser-use if you are
Developers building browser-automating agents in Python
- Works with a local Chrome profile, a cloud browser, or a remote browser over CDP
- Custom tools register with a decorator; system prompt can be extended or overridden
| What we compare | ppt-master | browser-use |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 79, popular | 94, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 99, healthy | 76, fair |
| Easy to run | Not scored for this kind | Not scored for this kind |
| Agent-ready | 70, partly | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 62.1k | 118k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | Python | Python |
| Docker | No | Yes |
| GPU | Not needed | Optional |
| arm64 or Apple Silicon | Not stated | Not stated |
ppt-master
PPT Master is a workflow ("skill") that runs inside an agent-capable AI tool such as Claude Code, Cursor or Codex CLI. It reads source material like PDFs, DOCX and web pages, plans the argument, and exports a .pptx with native shapes, data-backed charts and tables, and slide masters via the template route. It can also fill existing decks, extract templates, and add transitions, animations and narration.
Who it is for: People who want editable PowerPoint decks generated from documents by an agent
Strengths
- Exports native PowerPoint objects (shapes, charts, tables), not flattened images
- Runs on your machine; only model API calls leave it
- Works with any agent-capable tool and model: Claude, GPT, Gemini, Kimi
- Also fills existing .pptx files and distills reusable templates
Weaknesses
- Output quality depends on the driving model; README recommends Kimi K3 or Claude with ~1M context
- Image-heavy decks need a separate AI image generation API such as gpt-image-2
- Needs an agent tool installed plus Python 3.10+; no standalone UI
- SmartArt is deliberately unsupported; one-shot decks still need manual polish
- no GPU
- Needs Python 3.10+, An agent-capable AI tool (Claude Code, Cursor, Codex CLI, etc.), pandoc (only for legacy formats like .doc, .odt, .rtf)
- Models: Kimi K3, Claude, GPT, Gemini, gpt-image-2
browser-use
Browser Use runs an LLM-driven agent that opens a browser, reads pages and completes tasks such as searching, filling forms and booking slots. It is used as a Python library (3.11+), as a CLI skill for agents like Claude Code, or through a hosted cloud API. It works with OpenAI, Anthropic, Google, Ollama and its own BU2 model, on local or cloud browsers.
Who it is for: Developers building browser-automating agents in Python
Strengths
- Works with a local Chrome profile, a cloud browser, or a remote browser over CDP
- Custom tools register with a decorator; system prompt can be extended or overridden
- Supports OpenAI, Anthropic and Google wrappers, plus local models via Ollama
- Ships a CLI skill so existing coding agents can drive a browser
Weaknesses
- README recommends BU2, which needs a paid Browser Use API key
- CAPTCHA and stealth handling rely on the paid cloud browser, with no guarantee
- Profile sync copies cookies only, not local storage, IndexedDB or extensions
- Hardware needs for local models are not stated in the README
- GPU optional
- Docker
- Needs Python >= 3.11, Chromium-based browser, LLM provider API key or Ollama, Browser Use API key (optional)
- Models: OpenAI, Anthropic, Google, Ollama, BU2 (ChatBrowserUse)
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