LangGraph agent ops

Operationalize agent workflows with governance and traces

Dekaplane presents agent workflow foundations through a self-hosted control plane for policy, tool access, ChatOps, and debugging.

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.

  • Less hidden runtime behavior
  • More operational review
  • Self-hosted deployment path
  • A clearer administrative surface

Related reading

Explore adjacent product areas

Current release

Start with the free self-hosted package

Dekaplane is currently available as a Free single-tenant self-hosted release with portal-based downloads, license materials, and installation guidance.