LangGraph-style workflow foundations help make agent behavior more explicit and durable. Operations teams still need a product surface for configuration, policy, tracing, and safe use.
Dekaplane brings those workflow foundations into an operator-facing platform alongside AI Gateway management, ChatOps, MCP tools, and observability.
Why agent ops needs structure
Agents that perform operational work need more than prompts. They need defined steps, state, allowed tools, error handling, and visibility after a run completes.
Explicit workflow paths
Durable execution state
Tool and model boundaries
Traceable outcomes
Dekaplane's workflow posture
Dekaplane documentation reflects modern workflow and orchestration foundations, including LangGraph and LangChain usage where applicable, while presenting those details through customer-facing controls.
Workflow runs visible to admins
Tool calls tied to policy
ChatOps requests connected to traces
Gateway behavior managed through the control plane
From framework to platform
Frameworks help build agent behavior. A platform helps operate it. Dekaplane focuses on the platform layer operators need around workflows, tools, traces, and release delivery.
Dekaplane is currently available as a Free single-tenant self-hosted release with portal-based downloads,
license materials, and installation guidance.