Backboard AI Unified Platform: Model-Agnostic Stack in your AWS Cloud

As described on AWS Marketplace.

Backboard is full-stack, model-agnostic AI infrastructure that lets you build production AI agents through a single API. One key gives you persistent memory, agentic RAG, model routing across 17,000+ LLMs, stateful threads, multi-agent orchestration, parallel tool calls, web search, voice, and image. Every layer you would normally assemble from separate vendors, vector databases, orchestration frameworks, embedding services, and provider SDKs, is vertically integrated and stateful by default at the message level. Point your agent at an Assistant, open a Thread, send Messages: memory, retrieval, and context management are handled for you. The performance layer is proven. Backboard holds the top publicly reported scores on the LoCoMo and LongMemEval long-term memory benchmarks, and its Recursive Parallel Agents architecture cuts token usage by 10-30% on any model, frontier or open source. Hybrid agentic RAG combines BM25 and vector retrieval out of the box. Model routing means your agents can run on Amazon Bedrock models, frontier APIs, or open-source models you host yourself, and you can switch anytime without rewriting your application. Bring your own provider keys or use ours. Built for enterprise control from day one. There is no lock-in: use any LLM, bring your own embeddings and provider keys, and export your memory anytime through open CRUD endpoints. Teams use Backboard to ship AI agents, copilots, chatbots, and agentic workflows in days instead of months, with one bill, one integration, and one API replacing an entire AI stack. Need Backboard running inside your own AWS account? A separate containerized deployment of the platform is available on AWS Marketplace.

Highlighted by the publisher on AWS Marketplace.

The full AI stack in one API: persistent memory, agentic RAG, routing across 17,000+ LLMs, stateful threads, multi-agent orchestration, parallel tool calls, web search, voice, and image. One key replaces the vector database, orchestration framework, and provider SDKs you would otherwise stitch together.

Benchmark-proven performance: top publicly reported scores on the LoCoMo and LongMemEval long-term memory benchmarks, plus 10-30% fewer tokens on any model via Recursive Parallel Agents. Run your agents on Amazon Bedrock, frontier APIs, or open-source models and switch anytime without rewriting code.

Enterprise control, no lock-in: use any LLM, bring your own embeddings and provider keys, export memory anytime through open CRUD endpoints. Also available as a separate containerized listing for deployment inside your own AWS account.

As stated by the publisher on AWS Marketplace.

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