Evidence tier Source Confirmed · 3 captures on record
What the publisher says
As described on AWS Marketplace.
Cognizant Neuro® San (neuro-san-studio) is an open-source platform for building and running networks of cooperating AI agents, delivered as a ready-to-run image. The software is free and open source (Apache-2.0); you bring your own LLM API key.
Key capabilities:
Show the rest of the publisher’s description (14 more lines)
- sly_data channel: keeps API keys, tokens, and PII out of LLM prompts.
- MCP-native: every server exposes a Model Context Protocol endpoint for agent-to-agent interoperability (e.g., with Amazon Bedrock).
- CodedTools: call deterministic Python functions from any agent.
- NSFlow: a real-time visual UI to design, run, and debug agent networks.
- Agent Network Designer: a meta-agent that generates HOCON networks from natural-language descriptions.
- Ships with 90+ ready-to-run example agent networks across banking, insurance, airline, retail, coding assistants, and more.
Getting started (after subscribing on AWS Marketplace):
- From the product page, choose Continue to Subscribe, then Continue to Configuration, then Continue to Launch. Select region US East (N. Virginia) and the recommended instance type (c7i.xlarge).
- Launch the instance with a key pair and a security group allowing inbound TCP 22 (SSH) and 4173 (NSFlow UI).
- SSH into the instance: ssh -i <your-key>.pem ubuntu@<instance-public-ip>
- Add one LLM API key: sudo nano /opt/neuro-san-studio/.env (uncomment a line, e.g. OPENAI_API_KEY=sk-...)
- Restart the service: sudo systemctl restart neuro-san-studio
- Open the NSFlow UI in your browser: http://<instance-public-ip>:4173
Learn more: https://github.com/cognizant-ai-lab/neuro-san-studio
Highlights
Highlighted by the publisher on AWS Marketplace.
AAOSA protocol: decentralized, self-organizing inter-agent routing with no central orchestrator.
HOCON configuration: describe complete agent networks declaratively, with no orchestration code.
LLM-agnostic: per-agent model choice across OpenAI, Anthropic Claude, Google Gemini, Ollama, and Azure OpenAI.
Preview
4 images
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-28
Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
All sales are final and we do not offer refunds. You may cancel your monthly subscription at any time to stop future charges; access continues through the end of the current billing period. For billing questions, contact somesh.pattanaik@cognizant.com.
Sources
Publisher resources
2 linksLinked repositories
1 repoUnknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.