Sold by: Software Sushi
Deployed on AWS
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Open Interpreter lets a language model write and run code to get real work done from plain-English requests: analyze and chart data, clean up files, convert formats and automate scripts. This Ubuntu 24.04 image runs it on an isolated cloud instance instead of your laptop, asks before running any code and works with the model provider you choose.
Overview
Open Interpreter is a natural-language interface to a computer. You describe the result you want, for example 'load sales.csv, remove duplicates and plot revenue by month', and the model proposes Python or shell code, explains it and runs it once you approve. It keeps the context of the session, so you can refine the result step by step.
Running that on your own laptop means giving a model access to your files. This image gives developers, analysts and data teams a dedicated, disposable instance in their own account where generated code runs away from your laptop, with your data uploaded only when you choose.
What is included: Open Interpreter 0.4.2 in its own Python 3.12 environment, a per-instance profile with auto-run off and the telemetry option set to disabled, and a workspace at /var/lib/open-interpreter/workspace. The interpreter command refuses the -y auto-run flag unless you explicitly allow it for a session, so code never runs without your confirmation by default. The upstream CLI still checks PyPI for newer versions at startup and, when you exit, asks whether you want to send feedback; nothing is shared unless you answer yes. No provider key, model download or listening port is included.
Getting started takes a few minutes: launch t3.medium (2 vCPU, 4 GiB RAM) with a 16 GiB or larger encrypted gp3 root volume and IMDSv2, attach an instance profile with AmazonSSMManagedInstanceCore, allow outbound HTTPS and keep inbound rules closed. Connect with Session Manager and run sudo -iu ubuntu bash /opt/sushi/docs/demo.sh to verify the installation; it runs Python locally without a model key. Then set your provider credentials privately, run interpreter and describe your first task. The usage instructions and the linked project documentation cover each step.
Pricing: a software fee of USD 0.02 per running t3.medium instance-hour. An optional five-day free trial for one concurrent instance changes software billing only and then converts to the hourly fee; the same full software is installed before and after it. This is not a separate trial or evaluation edition, and there is no product-imposed time, user or usage limit. Additional concurrent instances incur software fees. EC2, EBS, data transfer and any model-provider charges are billed separately, including during the free trial.
This is a repackaged open source software product wherein additional charges apply for independent AWS packaging, validation, maintenance and setup documentation. Open Interpreter is published under the AGPL-3.0 license; Software Sushi provides the image, setup guide and packaging support and does not claim upstream endorsement. The corresponding source and license notices are kept on the instance under /usr/share/doc/open-interpreter and are linked below.
Highlights
- Describe a task in plain English. The model writes Python or shell code, explains it and runs it on the instance to deliver the result.
- You stay in control: every code run asks for your confirmation and auto-run is off by default.
- Isolated cloud instance with no listening ports and no baked keys, so your laptop stays out of reach. Use the model provider you choose.
Details
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64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.02 |
Dimensions summary
You pay one hourly software fee for each running t3.medium instance. Billing is usage-based, so charges accrue only while the instance runs. There are no tiers or quantity commitments to choose; cost scales with how many hours you keep instances active. An optional five-day free trial covers the software fee for one instance, then converts to the same hourly rate. AWS infrastructure like EC2, EBS, data transfer, and your chosen model provider's charges are billed separately, including during the trial.
Top-of-mind questions for buyers
You get a t3.medium instance with 2 vCPUs and 4 GiB of RAM. The recommended setup uses at least a 16 GiB encrypted gp3 root volume. The image runs Ubuntu 24.04 LTS on x86_64, with Open Interpreter preinstalled in its own Python environment.
The hourly software fee accrues only while the instance runs. A fully stopped instance does not accrue the software fee. Stopped instances may still incur separate AWS storage charges for the attached volume. EC2, EBS, data transfer, and your model provider bill independently.
No model, model download, or provider key is included. You bring your own provider key and set it after launch. The instance generates its own secrets on first boot. AWS infrastructure and your model provider's usage are billed separately from the software fee.
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Vendor refund policy
We offer a full refund of software charges for the first 48 hours billing starts if the product does not perform as described. To request a refund, email info@softwaresushi.com with your EC2 instance ID and a description of the issue. AWS infrastructure costs (EC2, EBS, data transfer) are billed by AWS and are not eligible for refund by us.
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Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Open Interpreter 0.4.2 (Software Sushi build 0.4.2+sushi.2) on Ubuntu 24.04 LTS in a pinned Python 3.12 environment. This update fixes interactive CLI startup for the ubuntu user (home directory ownership and IPython cache location) and adds a CLI startup check to the bundled demo. auto_run is off by default; no provider key, model or listening port is included. Includes corresponding source, AGPL-3.0 license notices and an offline demo (sudo -iu ubuntu bash /opt/sushi/docs/demo.sh).
Additional details
Usage instructions
- Launch t3.medium (2 vCPU, 4 GiB RAM) with a 16 GiB or larger encrypted gp3 root volume and IMDSv2. Attach an instance profile with AmazonSSMManagedInstanceCore, allow outbound HTTPS and keep inbound rules closed.
- Connect with aws ssm start-session --target <instance-id>. After cloud-init finishes, run: sudo -iu ubuntu bash /opt/sushi/docs/demo.sh (expect SUSHI_CUSTOMER_DEMO_PASSED).
- Set your model-provider credentials privately (never in user-data or logs).
- Run: interpreter, then describe your task. Review each proposed code block before approving it. The workspace is /var/lib/open-interpreter/workspace. Source and license notices are in /usr/share/doc/open-interpreter. Documentation: https://docs.openinterpreter.com/ Support: info@softwaresushi.com Launch guide: https://docs.softwaresushi.com/launch-kit/
Resources
Support
Vendor support
Software Sushi provides installation and configuration guidance for this image. Contact info@softwaresushi.com with your product version and the steps you took; never send credentials or private data. Guaranteed response times require a separate agreement. This offer does not include upstream Open Interpreter support.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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