Sold by: Waltsoft Inc.
Deployed on AWS
AWS Free Tier
LangChain's framework for building stateful, multi-actor AI applications with cycles, controllability, and persistence. Production-grade agent orchestration. 20K+ stars.
Overview
LangGraph by LangChain enables production multi-agent systems with state management, cycles, and human-in-the-loop patterns.
Key Features:
- Stateful agent graphs with persistence
- Cycles and conditional branching
- Human-in-the-loop integration
- Streaming and async support
- LangChain ecosystem compatible
- 20,000+ GitHub stars
- Pre-installed on EC2
Highlights
- Production multi-agent orchestration with state persistence and cycles
- Human-in-the-loop patterns built into the graph execution model
- Full LangChain ecosystem compatibility with streaming support
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
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.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Description | Cost/hour |
|---|---|---|
t3.medium Recommended | t3.medium instance | $0.08 |
t3.micro | t3.micro instance | $0.00 |
t3.large | t3.large instance | $0.08 |
m5.large | m5.large instance | $0.08 |
r5.large | r5.large instance | $0.08 |
m5.xlarge | m5.xlarge instance | $0.08 |
Vendor refund policy
No refunds. Cancel anytime. Contact support@waltsoft.net .
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
Security: fresh container images with latest upstream patches.
Additional details
Usage instructions
Quick Start
- Launch on t3.medium or larger
- SSH in: ssh ubuntu@YOUR_PUBLIC_IP
- cd /opt/langgraph && cat README.md
- Set up: pip install -e .
- Run examples in examples/ directory
What's Included
- LangGraph (20K+ stars) pre-cloned
- Python 3.12
Ports
- 80: Status page
- 22: SSH (user: ubuntu)
Support
Support
Vendor support
For technical support, email support@waltsoft.net or visit
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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