Orchestrate agents through configuration
Everything you need to build, ground, and run multi-agent workflows on AWS.
Define multi-agent workflows as YAML โ agents, inputs, dependencies, and outputs. No code to write; the compiler turns your ecosystem into a runnable pipeline.
Agents run as a dependency graph (DAG) across parallel swarms. Each agent has a focused role, its own tools, and shared memory to build on upstream work.
Ground agents in curated, versioned knowledge. Domains ingest regulatory and reference sources into a catalog that agents cite instead of hallucinating.
Empanel a set of scrutineer personas, let them deliberate, and produce a defensible verdict โ for reviews that need more than a single opinion.
Every run is checked for output format, citations, and grounding โ internal (Bedrock Guardrails) and external (web search) โ with an optional challenger agent.
Launch runs, watch the agent map stream in real time, review the generated report, and give inline feedback โ all from the browser.
Watch an ecosystem run
Launch, and the specialist agents stream across a live execution graph into a synthesizer, an adversarial challenger, and a final report.

Why Tessera
Code-first frameworks give you primitives and leave grounding, quality, UI, and deployment to you. Tessera is opinionated about exactly those parts.
| Tessera | Code-first frameworks (LangGraph ยท CrewAI ยท AutoGen) | |
|---|---|---|
| Define a workflow | YAML config | Write & maintain Python |
| Grounding | Versioned catalog + grounding checks | Build it yourself |
| Quality | Challenger, quorum, format/citation/grounding gates | Build it yourself |
| UI | Live generative UI streamed to a web app | None / build your own |
| Deployment | Terraform to your AWS account | Bring your own infra |
| Secrets | Zero static secrets (vault / Secrets Manager) | Varies |
| Evaluation | Opt-in eval harness (regression + sign-off) | Build it yourself |