Diagrid adds durable execution, verifiable history, and zero-trust controls to production AI agents and workflows.
What it does
Diagrid is an agentic durable-execution platform for running AI agents and workflows through crashes, deploys, restarts, and infrastructure outages without losing completed work. It preserves execution state, resumes from the last completed step, and coordinates recovery across instances. The platform also signs workflow steps into a tamper-evident record, giving teams cryptographic evidence of what ran, where an action originated, and who executed it.
Teams can bring existing agent code and frameworks, including LangGraph, CrewAI, Strands, OpenAI Agents, Google ADK, Pydantic AI, Microsoft Agent Framework, Claude Agents, and Dapr Agents. Diagrid provides runners and platform infrastructure around those agents, so developers can add recovery without rewriting their orchestration. Its workflow capabilities include automatic retries, checkpointing, long-running execution, and visual inspection of running workflows.
For governance, Diagrid adds policy-driven access control between agents, applications, tools, and MCP servers. A deny-by-default model lets teams explicitly allow trusted connections at the execution layer. Deployment options span managed cloud, dedicated cloud, bring-your-own-cloud, and enterprise server environments, including on-premises and air-gapped setups. Diagrid is intended for engineering teams moving autonomous agents from prototypes into production systems that need reliability, auditability, and infrastructure sovereignty.