Diagrid
Agentic durable execution platform with crash recovery and cryptographically verified execution records.
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What is Diagrid?
Diagrid is an agentic durable execution platform that ensures AI agent workflows never lose progress during crashes or outages. It provides cryptographically verified execution records and automatic recovery across any agent framework, eliminating duplicate work and preserving execution state.
Diagrid pricing
Pricing model: Freemium
Free to start · enterprise & self-hosted available
Diagrid pros
- Automatic crash and outage recovery — agents resume from last completed step without restarting
- Cryptographically verified execution — tamper-proof audit logs prove exactly what agents executed
- Framework agnostic — works with LangGraph, CrewAI, Google ADK, OpenAI Agents, and others without rewrites
- Exactly-once semantics — prevents duplicate LLM calls and costs
- Long-running workflow support — handles work from seconds to infinity with automatic state persistence
Diagrid cons
- Requires integration with existing agent frameworks — not a standalone agent builder
- Pricing details limited to free tier; enterprise/self-hosted options require contacting sales
- Content does not detail performance overhead or latency impact of cryptographic attestation
Frequently asked questions about Diagrid
What happens if my agent crashes mid-execution?
Diagrid preserves execution state and automatically resumes from the last completed step with zero duplicate LLM calls or wasted work.
Does Diagrid work with my existing agent framework?
Yes, it works with LangGraph, CrewAI, Google ADK, Strands, OpenAI Agents, and other frameworks without code rewrites.
How does cryptographic attestation help?
Every agent step is digitally signed into a tamper-proof record, allowing you to prove exactly what executed for compliance, audits, and verification.
Can it handle long-running workflows?
Yes, Diagrid supports workflows lasting from seconds to infinity, automatically recovering from crashes and infrastructure outages.