LangGraph Cloud
LangChain's managed deployment platform for stateful multi-agent applications. Graph-based with a supervisor routing pattern that maps to the Envelope team hierarchy — unlimited hierarchy depth via subgraph nesting.
Overview
LangGraph is a framework for building stateful multi-actor applications using a directed graph model. Each node in the graph corresponds to an agent or tool. The supervisor pattern — a central node that routes work to specialist nodes — maps to Envelope's manager/specialist hierarchy.
LangGraph Cloud provides managed deployment, persistence, and observability for LangGraph applications. The Envelope integration will provision graphs via LangGraph Cloud's deployment API, translating the Envelope team definition into a compiled graph ready for deployment.
Concept mapping
| Envelope concept | LangGraph equivalent |
|---|---|
| Team | Graph with supervisor node |
| Agent | Graph node / subgraph |
| Run | Graph invocation |
| Install | Graph compilation + deployment |
| reportsToKey | Supervisor routing edges |
| requiredSecrets | Environment secrets / LangSmith secrets |
Translation approach
LangGraph is inherently code-first — graphs are defined in Python, not via a REST API. The Envelope integration for LangGraph will use a serialiser approach: the Envelope team definition is translated into a LangGraph graph definition (Python code), compiled, and deployed to LangGraph Cloud.
This is more complex than the Paperclip or Bedrock integrations (which use REST API calls to provision agents), but the same mechanism is used by LangGraph Cloud itself for all deployments — making it a supported, stable path rather than a workaround.
Integration status
- [x] Research complete
- [x] Concept mapping confirmed
- [ ] Serialiser implementation
- [ ] Conformance testing
- [ ] General availability