Most office work still ends in the same files: a Word report, an Excel workbook, a PowerPoint deck, or a PDF that can be sent without worrying about layout changes.
A general chatbot can help with the words, but it cannot reliably own the whole job. To build an Agent that can create, inspect, repair, convert, and return actual office files, you need to give it a small set of tools with clear responsibilities.
This is the stack I would use.
Start with the job, not the model
The Agent's job is simple to describe:
Receive a request or an attachment, work on the document, validate the result, and return a file that a colleague can open and continue editing.
That definition is more useful than “an AI that understands Office.” It tells us what the Agent must be able to do:
- create and edit
.docx,.xlsx, and.pptxfiles; - inspect an existing file instead of rebuilding it blindly;
- validate the output before returning it;
- create animated presentations or short visual explainers when slides are not enough;
- convert finished files to PDF;
- work from a chat app, including on a phone;
- optionally receive files from an email inbox and return drafts or processed attachments.
Four components cover that workflow.
1. OfficeCLI handles Word, Excel, and PowerPoint
Repository: iOfficeAI/OfficeCLI
OfficeCLI is a command-line tool built for AI agents working with Office Open XML files. It supports Word documents, Excel workbooks, and PowerPoint presentations without requiring Microsoft Office to be installed.
An Agent can use it to:
- create a new
.docx,.xlsx, or.pptxfile; - read a document as structured elements rather than raw binary data;
- query paragraphs, tables, cells, slides, shapes, and other objects;
- add, update, move, or remove elements;
- merge templates with JSON data;
- import CSV or TSV data into a workbook;
- validate the finished file against Open XML schemas;
- expose its capabilities through an MCP server or installable Agent Skills.
This makes OfficeCLI the main file-editing layer. The language model decides what should change; OfficeCLI performs the change in a format-aware way.
For example, the same Agent can turn meeting notes into a formatted Word report, add formulas and charts to an Excel workbook, or repair a PowerPoint deck without flattening it into screenshots.
2. HyperFrames adds motion-first presentations
Repository: heygen-com/hyperframes
PowerPoint is still common, but many presentations are now shared as animated explainers, product walkthroughs, or short videos. A static deck is not always the best final format.
HyperFrames lets an Agent define scenes with HTML, CSS, JavaScript, media, and structured timing, then render the result frame by frame. Its Skills cover presentations, slideshows, motion graphics, product videos, captions, and other video workflows.
In this Office Agent, HyperFrames is an optional presentation layer. It can:
- turn a report or deck outline into an animated presentation;
- create a short explainer from spreadsheet data;
- produce a motion-led product update for asynchronous review;
- render a repeatable MP4 from structured content;
- build an interactive or navigable deck when ordinary slides feel limiting.
OfficeCLI should still produce the editable .pptx when that is the requested deliverable. HyperFrames adds another output option when movement makes the information easier to understand.
3. Hermes Agent provides the runtime and chat channels
Repository: NousResearch/hermes-agent
The Agent also needs a runtime: somewhere to load Skills, call command-line tools, keep working context, handle files, and communicate with the user.
Hermes Agent is a practical choice because it can run tools and Skills while connecting the Agent to chat channels. That matters for office work. You may receive a spreadsheet while away from your desk, ask the Agent to check it in a chat, and review the result from the same conversation.
Hermes can provide:
- Skill and CLI orchestration;
- persistent memory and session context;
- scheduled and background work;
- file and media delivery;
- connections to chat platforms such as Telegram and other configured channels;
- approval points before consequential actions.
4. LibreOffice converts the result to PDF
Repository: LibreOffice/core
OfficeCLI produces editable Office files. LibreOffice handles a different part of the job: opening those files in a full office suite and exporting them to PDF from the command line.
A typical headless conversion looks like this:
libreoffice --headless \
--convert-to pdf \
--outdir ./output \
./output/report.docx
The same approach works for supported spreadsheets and presentations. This gives the Agent two deliverables when needed:
- the editable source file for continued work;
- a PDF for review, approval, archiving, or sending outside the company.
PDF conversion should come after file validation. It is also worth rendering and checking the PDF, because a structurally valid Office file can still contain clipped text, unexpected page breaks, or font substitutions.
How the pieces work together
A normal request might be:
Take the attached sales spreadsheet, summarize this month's performance, create a three-page management report, and return both Word and PDF versions.
The Agent can then follow a concrete sequence:
- Save the attachment in a working directory.
- Use OfficeCLI to inspect the workbook, including sheets, ranges, formulas, and charts.
- Calculate or summarize the requested figures.
- Use OfficeCLI to create the Word report from a company template.
- Validate the workbook and document.
- Use LibreOffice to convert the report to PDF.
- Render or inspect the final files for visual problems.
- Return the
.docxand.pdffiles in the chat.
If the user asks for an animated management update, the Agent can also pass the approved figures and narrative to HyperFrames and return an MP4 or interactive presentation.
The model is only one part of this system. The useful behavior comes from the tools, the workflow, and the checks around the output.
Add an email inbox when the file work is stable
Once the core file workflow works, email is a natural extension.
The Agent can watch an authorized inbox, identify messages with Office attachments, summarize the request, and prepare the processed file or a reply draft. Examples include:
- checking a supplier's updated price sheet;
- extracting figures from weekly Excel reports;
- repairing a PowerPoint attachment before a meeting;
- converting a signed or approved document to PDF;
- drafting a reply with the finished files attached.
Keep sending behind approval at first. Reading attachments, preparing files, and drafting replies are low-risk automation. Sending an external email, replacing a shared document, or acting on ambiguous instructions should wait for the owner to confirm.
A small Agent is easier to trust
This stack does not try to build a universal office employee. It gives one Agent a defined responsibility: handle common office files and return usable deliverables.
The boundaries are clear:
- OfficeCLI owns editable Office document operations.
- HyperFrames owns animated and motion-first presentation output.
- Hermes Agent owns orchestration, context, channels, and approvals.
- LibreOffice owns PDF conversion.
That separation also makes the Agent easier to test. You can verify each tool on its own before allowing the Agent to process real work.
If you want to assemble it yourself, the repositories above provide the main building blocks. If you would rather start with the tools already connected and tested, ClawMama's ready-to-use Office Agent can create, inspect, and repair Word, Excel, and PowerPoint files from a chat conversation.
Start with one real document you handle every week. A reliable Agent should earn more responsibility one file at a time.
Repository summary:
- iOfficeAI/OfficeCLI: Word, Excel, and PowerPoint file operations for agents.
- heygen-com/hyperframes: HTML-based presentations, animation, and video rendering.
- NousResearch/hermes-agent: Agent runtime, Skills, tools, memory, and chat channels.
- LibreOffice/core: office suite used here for headless PDF conversion.
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