This is a repackaged open source software product wherein additional charges apply for independent AWS packaging, validation, maintenance and setup documentation. Upstream software is MIT licensed; Software Sushi does not claim upstream authorship or endorsement.
A Python CPU runtime with an authenticated localhost WebUI, native file/Python tools, isolated dependencies and persistent per-instance state. Model configuration uses the native WebUI; optional Telegram uses the installed private helper. No local inference engine or model weights are included.
Customer setup: launch the approved Marketplace version on x86_64 EC2, connect as ubuntu using your EC2 key pair or Systems Manager, and open the localhost UI through a private tunnel. Configure your own model provider after launch. Telegram is optional and requires a dedicated bot and explicit private-chat/user allowlist. Runtime dependencies and automatic first boot are packaged; customer user data and seller approval are not required for instance initialization. Recommended starting resources are t3.medium (2 vCPU, 4 GiB RAM) with at least 16 GiB root storage. This is an initial functional target, not a workload capacity guarantee.
The software fee is USD 0.02 per running instance-hour. The optional five-day, one-instance free trial changes software billing only and converts to the paid hourly offer; the same installed software remains available 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 third-party model usage are separate, including during the software trial. No annual offer is configured.
External requirements are internet connectivity to the chosen model provider, a customer-controlled provider account/credentials with usable quota, and, only if Telegram is configured, a Telegram bot and outbound Telegram connectivity. No customer credentials are baked into the image. Model requests send their configured prompts and relevant tool context to the customer's chosen provider; Telegram messages use Telegram's service. AWS CLI and the Session Manager Plugin are workstation requirements for SSM access. SSH is an alternative. Keep application ports private and restrict SSH to a trusted administrator CIDR.
The linked customer guide contains launch, model/channel setup, acceptance checks, persistence, recovery and release status. Fresh consumers of the exact submitted distribution AMIs passed natural startup, native Claude UI/tool tasks, real private Telegram, independent saved-file verification and idle restart/recovery on October 5, 2026; the separate distribution acceptance record identifies the tested image and receipts. UI execution was observed before the idle restart; backend readiness and Telegram recovery passed afterward. Automatic frontend reconnection and a full EC2 reboot were not tested. These functional checks do not clear the retained full-host kernel findings or establish AWS approval. The English video remains a real earlier-candidate reference and is explicitly identified as that version. Availability is determined by the approved AWS Marketplace delivery version.
Highlights
Pinned CPU runtime with automatic first boot and persistent per-instance customer state.
Native model-backed tools with an optional dedicated private Telegram workflow.
The same software functionality before and after the billing-only free trial; customer credentials configured after launch.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
You pay by the hour for software usage on a single t3.medium instance size. This is usage-based pricing, so charges accrue only while the instance runs. There are no tiers or quantity commitments to choose between. AWS infrastructure costs, including EC2, EBS storage, and data transfer, are billed separately from this software charge. Model-provider and messaging-channel services you connect after launch carry their own charges from those providers. You run the agent in your own AWS account and control the instance.
Top-of-mind questions for buyers
What hardware does the t3.medium hourly rate map to, and what instance size can I actually run on?
The hourly software charge is tied to a t3.medium instance size. You can launch the image on t3.medium or a larger x86_64 instance. You need IMDSv2 enabled and a gp3 root volume of at least 16 GiB. The software runs on the Amazon EC2 instance you choose in your account.
Am I charged the hourly software rate when the instance is stopped?
The hourly software charge accrues only while the instance runs. Stopping the instance halts the software charge. Stopped instances may still incur AWS storage fees for the attached EBS volume, since that is an AWS infrastructure cost billed separately from the software.
What extra costs apply beyond the hourly software charge?
AWS infrastructure such as EC2 compute, EBS storage, networking, and data transfer is billed separately. You also add your own model-provider and messaging credentials after launch. Those providers charge for their own usage. No customer credentials are included in the image.
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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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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
Initial Software Sushi Marketplace distribution build. Signed Ubuntu 24.04 AWS kernel 7.0.0-1014-aws, pinned agent inputs and automatic per-instance startup. Separate unencrypted ingestion source, with encrypted test consumers. Fresh actual source boot and native offline tool checks passed. Customer model and Telegram credentials are configured after launch. Independent full inventories retain kernel findings; this submission requests AWS security vetting and does not claim that the local High/Critical gate passed. Earlier English private-candidate videos are labeled reference evidence.
Subscribe and launch this version in us-east-1 on t3.medium (x86_64), with at least 16 GiB root storage and IMDSv2. Select encrypted customer storage if required. Allow outbound HTTPS for your selected model provider and optional Telegram bot. For SSH, select your EC2 key pair and change TCP 22 ingress from the conservative localhost-only recommendation to your trusted administrator CIDR. Application ports remain private. Alternatively, attach your own minimally privileged Systems Manager instance role and ensure SSM connectivity.
Wait for automatic first boot; confirm sudo systemctl is-active sushi-nanobot.service. Use an SSH tunnel: ssh -i YOUR_KEY -L 8765:127.0.0.1:8765 ubuntu@INSTANCE_ADDRESS. Open http://127.0.0.1:8765 on your workstation. SSM port forwarding is an alternative described in the guide. No software installation or seller credentials are needed at instance launch.
Configure your own supported cloud-model provider and model in the native localhost UI. Enter keys privately. For Nanobot, retrieve its per-instance WebUI password through your private SSH connection as described in the guide, without capturing it in logs or screenshots. Core capability exclusions and persistent state paths are documented in the guide. Provider account, key, quota and model charges are separate.
Optionally create your own dedicated Telegram bot using BotFather. Copy the empty template from the guide; fill it privately with your token and exact numeric private chat/user allowlist, then use the installed helper. Keep one polling owner per bot and groups disabled. No provider or bot credentials are baked.
Send a tool task to create a CSV with 5, 17 and 20, assert total 42 and three rows, write result.json and independently read it back. Repeat through your allowed private Telegram chat when configured. A saved key or running service alone is not inference proof.
Monitor service health and provider quotas. Stop unused instances. Software costs USD 0.02 per running instance-hour after the five-day software trial for one instance; EC2, EBS, transfer and model usage are separate. New AMI versions do not automatically upgrade running instances; migrate required protected customer state after backup. Contact info@softwaresushi.com for packaging/setup support.
Software Sushi provides AMI packaging and setup guidance at info@softwaresushi.com. Include the product/version, sanitized reproduction steps and error category; do not send credentials, private configuration, session keys or customer content. Guaranteed response times require a separate agreed arrangement. Provider credits and upstream vendor support are not included.
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.
Ask a question and get an AI-written answer that cites the web pages it used. This Ubuntu 24.04 AMI runs Vane with a pinned SearxNG metasearch engine and calls the OpenAI-compatible chat and embedding models you configure, giving teams a private answer engine in their own AWS account.
Goose is an open source AI agent for the command line. Give it a task in plain English and it plans the steps, then reads and writes files and runs shell commands until the job is done, using the LLM provider you configure. This Ubuntu 24.04 image gives you a private agent workstation reachable through Session Manager, with no inbound ports.
This is a repackaged open source software product wherein additional charges apply for packaging, maintenance and setup guidance. Run two CrewAI agents with a fixed CSV calculator, independently verified JSON results and persistent workspaces.
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