Sold by: Synaplan by metadist
Deployed on AWS
Self-host Synaplan, an open-source AI knowledge and communication platform, in your AWS account. Build RAG assistants, search documents, and connect cloud or local AI models.
Overview
Synaplan is an open-source AI knowledge and communication platform that runs inside your own AWS account. This free AMI provides an all-in-one deployment on a single Amazon EC2 instance, including the web application, REST and OpenAI-compatible APIs, MCP access, RAG document search, vector storage, embeddable chat widgets, and multi-channel integrations.
Connect cloud AI providers such as OpenAI, Anthropic, Groq, Google Gemini, Mistral, and xAI, or use local models through Ollama. Your documents, configuration, database, and vector data remain in infrastructure you control. An AI provider account and API key may be required for cloud-hosted models, and the provider may charge separately.
The deployment includes HTTPS, an automatically generated administrator password with a mandatory first-login change, persistent EBS storage, AWS Systems Manager access, snapshot support, health checks, and update tooling. Synaplan has no software charge, telemetry, license check, or call-home service. Buyers pay only for the AWS infrastructure they launch and any optional third-party AI provider usage.
Highlights
- Deploy a complete self-hosted AI platform in your own AWS account with RAG document search, AI assistants, chat widgets, APIs, and MCP support.
- Keep control of your data and choose between multiple cloud AI providers or local models through Ollama.
- Production-ready single-instance deployment with HTTPS, persistent EBS storage, Systems Manager access, backups, health checks, and update tooling.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Synaplan - New VPC (recommended)
Synaplan - Existing VPC
Latest version
Operating system
AmazonLinux 2023
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
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.
Pricing
This product is available free of charge. Free 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.
Dimensions summary
You run this platform on your own AWS instance, and the software itself is free. Your charges come only from the hourly rate of the EC2 instance you pick. The seven options are all instance sizes, not feature tiers. Three use Intel-based hardware (c7i.xlarge, m7i.xlarge, m7i.2xlarge), three use Graviton (Arm) hardware (c7g.xlarge, m7g.xlarge, m7g.2xlarge), and one is memory-optimized (r7i.xlarge). The 'c' family favors compute, the 'm' family balances compute and memory, and 'r' adds more memory. Larger '2xlarge' sizes give you more capacity per hour.
Top-of-mind questions for buyers
The software itself carries no license cost. Your charges come from the running instance-hour. When you stop the instance, hourly charges stop. Stopped instances may still incur AWS storage fees for attached volumes, but the software meters running time only.
Each hourly charge covers one running instance of the size you picked. The platform runs via Docker Compose. The standard setup uses about 9 GB and includes local AI models; a minimal setup uses about 5 GB and relies on cloud AI providers. Larger sizes hold more workload per hour.
No. Your AWS charge covers only the EC2 instance-hour. If you connect external model providers, you pay those providers directly at their own rates. The platform does not resell tokens through a markup. Running local models on your instance adds no per-token cost beyond the instance itself.
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Helpful?
Vendor refund policy
Synaplan is provided free of charge, so there are no software fees to refund. AWS infrastructure and third-party service charges are billed separately by their respective providers and cannot be refunded by metadist GmbH. For questions, contact support@synaplan.com .
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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
Synaplan 4.8.2. Release notes: https://github.com/metadist/synaplan/releases/tag/v4.8.2
Additional details
Usage instructions
Launch the instance, then open https://<public IP or your domain>. Sign in with the administrator address shown in the CloudFormation outputs; the single-use password is stored in SSM Parameter Store under /synaplan/<instance-id>/admin-password and must be replaced at first sign-in. Add an AI provider key under Admin, AI Providers. Full guide: https://github.com/metadist/synaplan/blob/main/deploy/aws/README.md
Resources
Vendor resources
Support
Vendor support
This free product includes best-effort community support without a guaranteed response time or service-level agreement.
Documentation: https://docs.synaplan.com/ Issue tracker: https://github.com/metadist/synaplan/issues Email: team@synaplan.com
For bug reports, include the Synaplan version, deployment method, relevant service status, and sanitized logs. Never include passwords, API keys, or other secrets.
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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