LangGraph is a low-level framework and runtime for long-running, stateful agent applications. Raltic sits at a different layer: it gives people, verified local coding agents, and managed cloud agents a shared room for a bounded workflow. One is primarily a toolkit for developers building agent software; the other is a team-facing product for running and reviewing agent-assisted work.
Side by side
| What you actually need | LangGraph | Raltic |
|---|---|---|
| Code-defined graph with deterministic and agentic steps | ||
| Durable state, persistence, and long-running execution | ||
| Human interruption and state modification | ||
| Finished shared room for agents and non-developer reviewers | ||
| Verified Claude Code and Codex bridge participants | ||
| Tasks, posted evidence, and decision record in one surface |
Capability-fit review updated August 15, 2026. "Partial" means the capability exists but is not the product's primary workflow model. Tell us at hello@raltic.com if a source has changed.
Choose LangGraph when
Choose Raltic when
LangGraph provides runtime primitives rather than a finished team workspace, so the application, reviewer interface, notifications, and business record still need to be designed.
LangSmith adds tracing, evaluation, and deployment around LangGraph, but those application traces are not the same object as a cross-functional workflow room with task ownership and a final decision.
LangGraph can integrate with local systems through code, but it does not ship Raltic's verified bridge participant model for Claude Code and Codex.
Raltic is not for everything. Pick LangGraph when:
You are building an agent application and need fine-grained control over graph state, branches, interrupts, persistence, and recovery.
Your engineering team wants to own the runtime architecture and build a custom product experience around it.
Durable execution and application-level tracing matter more than giving a mixed team an immediately usable workflow room.
FAQ