
Diagrid
Diagrid provides agentic durable execution for production AI, ensuring automatic crash recovery and cryptographically verifiable execution for AI agents.
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Ensures AI agents automatically recover from crashes, outages, and restarts without losing state or progress, guaranteeing workflows are always carried to completion from the last completed step.
Signs every step of an agent's execution into a tamper-proof record, providing provenance (where actions originated), attestation (who executed each step), and a cryptographic audit log to prove exactly what an autonomous agent did.
Supports integration with popular AI agent frameworks such as LangGraph, CrewAI, Google ADK, Strands, OpenAI Agents, Microsoft Agent Framework, and Spring AI, allowing developers to make their existing agents durable and verifiable without code rewrites.
Enforces security at the execution layer by allowing explicit control over access between agents, applications, and MCP servers, with a 'deny by default' policy to govern connections.
Built by the creators of Dapr and KEDA, two graduated CNCF projects, ensuring a multi-cloud and lock-in-free architecture based on widely adopted open-source software.
Provides capabilities for end-to-end distributed tracing and tools to observe failed agent runs, workflow retry storms, and inspect workflow steps.
Detailed Pricing Info
- Ensures high reliability and durability for AI agents, preventing loss of progress and enabling automatic recovery from failures and outages.
- Provides strong verifiability and auditability through cryptographically signed, tamper-proof records of every agent step, crucial for proving execution integrity and compliance.
- Offers seamless integration with existing AI agent frameworks (e.g., LangGraph, CrewAI) without requiring code rewrites, simplifying adoption for developers.
- Enhances security with built-in zero-trust access control, enforcing explicit permissions and a 'deny by default' policy for interactions between agents, apps, and tools.
- Leverages an open-source foundation, being built by the creators of Dapr and KEDA, which promotes multi-cloud compatibility and avoids vendor lock-in.
- The underlying concepts of durable execution, verifiable execution, and zero-trust security may present a learning curve for developers new to distributed systems or advanced security paradigms.
- While a free tier is available, scaling to production with higher concurrency and advanced support requires a significant financial investment, with managed cloud services starting at $1,199/month.
- Deep integration with the Dapr/KEDA ecosystem implies a dependency on these technologies, which might be a consideration for teams not already using or planning to adopt them.
What is durable execution in AI agent workflows?
Why do production AI agents need durable workflows?
What is a verifiable execution record in Catalyst?
Can I run my existing LangGraph agents on Diagrid Catalyst without rewriting them?
How is Diagrid Catalyst different from Temporal?
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