Choose Catalyst when you need to run AI agents from frameworks like LangGraph or CrewAI with durable execution, workload identity, and MCP tool policy. Restate excels at lightweight durable services and virtual objects with journaled execution. Catalyst extends durable execution to probabilistic agent workflows, while Restate focuses on deterministic service logic. If your primary need is agentic workflows with framework flexibility, Catalyst is the better fit.
Catalyst provides framework-agnostic agent runners that integrate with LangGraph, CrewAI, and OpenAI Agents SDK, adding durable execution on top without requiring code changes. Restate uses journaled services and virtual objects for durability, which works well for deterministic workflows but doesn't natively support agent frameworks. Catalyst's model lets you keep your existing agent code while gaining production controls like retries and state persistence.
Catalyst is built on Dapr Workflows and adds agent runners, workload identity, and MCP tool authorization, enabling a layered architecture where agent orchestration and tool policies are separate. Restate uses a single runtime with virtual objects and journaled execution, simplifying state management but lacking native agent framework integration. Choose Catalyst for modular agent systems with policy controls; choose Restate for simpler, code-first durable services.
Migration from Restate to Catalyst may require significant rework because they use different execution models. Restate relies on journaled services and virtual objects, while Catalyst uses Dapr Workflows and agent runners. If your Restate services are deterministic, you can port them to Catalyst's workflow activities, but agent-specific logic would need adaptation to Catalyst's framework-agnostic runner model. Evaluate your code's coupling to Restate's runtime before migrating.
Catalyst is designed to run from cloud to air-gapped environments, with support for private deployments and offline operation. Restate is typically deployed as a self-hosted runtime, which can also run air-gapped, but requires you to manage infrastructure and updates. Catalyst provides a managed platform with built-in durability and identity, reducing operational overhead in restricted networks. Choose Catalyst if you want a managed solution for air-gapped agent workflows.
Catalyst is purpose-built for probabilistic agent workflows, supporting framework-agnostic runners that handle non-deterministic outputs from LLMs and tool calls. Restate's journaled execution model assumes deterministic operations, making it less suitable for agentic tasks where outcomes vary. If your workflows involve AI decision-making, choose Catalyst; for purely deterministic service logic, Restate may suffice.
Catalyst uses Dapr Workflows for state persistence, allowing you to manage workflow state separately from agent runner state, with workload identity integration. Restate uses built-in virtual objects that keep state directly in the runtime, simplifying state access but coupling it to the execution model. Choose Catalyst if you need flexible state management across agent frameworks; choose Restate for simpler, tightly-coupled state in deterministic services.
Catalyst has a steeper learning curve if you are new to Dapr and agent frameworks, but it lets you keep your existing agent code (e.g., LangGraph) without rewriting. Restate is simpler for developers familiar with deterministic services, as it uses a single runtime with journaled execution. For teams already using agent frameworks, Catalyst reduces the need to learn a new execution model, while Restate requires adapting to its specific SDKs.
Catalyst provides native MCP tool authorization and policy enforcement, allowing you to define which tools agents can call and under what conditions. As of the verification date, public documentation for Restate does not list built-in MCP support; confirm with the vendor before assuming either position. For agent systems that rely on MCP for tool access, Catalyst offers a more integrated and policy-driven approach, reducing custom code.
Choose Catalyst when you need stateful workflows with explicit step-by-step orchestration; Restate uses virtual objects that combine state and computation into a single durable entity. Catalyst, built on Dapr Workflows, provides a workflow-as-code model with separate activity steps, while Restate treats every service invocation as a journaled, durable operation. For teams wanting fine-grained workflow control and external state stores, Catalyst offers more flexibility; for simpler stateful services, Restate may be more direct.
Catalyst provides built-in workload identity and MCP tool authorization/policy, enabling fine-grained access control for workflows and agent runners. Restate relies on external identity management and does not offer native MCP tool policies. If you need to enforce permissions on AI-agent tool calls and manage identity across cloud-to-air-gapped environments, Catalyst's integrated security model reduces operational overhead. Restate may suffice for simpler deployments where external identity is already in place.
Catalyst, built on Dapr, uses external state stores (e.g., Redis, Cosmos DB) for workflow state, giving you control over durability and scaling. Restate manages state internally within its journaled services, simplifying deployment but limiting state store choices. For operations teams that need to integrate with existing state infrastructure or run in air-gapped environments, Catalyst's flexibility is advantageous. Restate's approach reduces operational complexity for smaller deployments.
Yes, you can combine them, but it adds complexity. Catalyst handles orchestrated workflows and AI-agent runners, while Restate can manage simpler journaled services that don't need workflow orchestration. They communicate via standard protocols (HTTP/gRPC). This hybrid approach works if you have existing Restate services and want to adopt Catalyst for new agentic workflows. However, you'll need to manage two runtimes and their operational tooling separately.
Catalyst provides verifiable execution that cryptographically attests to workflow execution history, enabling audit trails and compliance. Restate journals every operation, which serves standard audit needs; as of the verification date, public documentation does not list cryptographic verification of that journal. For regulated environments requiring tamper-evident execution logs, Catalyst's verifiable execution is a differentiator. Restate's journaling suffices for standard audit needs where cryptographic proof isn't required.
Restate has a gentler learning curve if you're familiar with microservices—it treats every service as a durable entity. Catalyst requires understanding Dapr's workflow model, activities, and building blocks, which is more complex upfront. However, Catalyst's framework-agnostic agent runners and MCP tool policy add capabilities that, as of the verification date, public documentation for Restate does not list. Teams already using Dapr will find Catalyst natural; others may prefer Restate's simplicity for basic durable services.
Catalyst scales by leveraging Dapr's sidecar architecture and external state stores, allowing independent scaling of workflow orchestrators and activity executors. Restate scales through its internal journaling and virtual object model, which can be simpler but may hit bottlenecks with high-throughput agentic workflows. For large-scale AI-agent deployments with many concurrent workflows, Catalyst's decoupled scaling is more flexible. Restate suits smaller-scale or simpler durable services.
Restate focuses on lightweight durable execution with built-in state, but identity management is left to the application. Catalyst provides workload identity as a platform feature, binding agent runners to verifiable identities across cloud and air-gapped environments. This allows you to enforce MCP tool authorization and policy per identity, which Restate does not natively offer.
Restate uses journaled services where you define workflows via SDKs with built-in state and virtual objects. Catalyst uses framework-agnostic agent runners that decouple durable execution from the agent framework (e.g., LangGraph, CrewAI). This means Catalyst supports probabilistic agent logic alongside deterministic replay, while Restate is optimized for deterministic, code-defined workflows.
Restate provides durable execution with state persistence but relies on you to implement security controls externally. Catalyst embeds workload identity and MCP tool authorization as platform policies, enabling verifiable execution and access control per agent. For regulated or air-gapped deployments, Catalyst's built-in policy layer reduces the burden of building custom security infrastructure.
No, they are separate platforms. Restate manages state within its own runtime, while Catalyst provides durable execution through Dapr Workflows with its own state management. You cannot mix the two directly. If you prefer Restate's lightweight state model but need agent runner support, consider Catalyst's approach where state is managed by the platform and agents remain framework-agnostic.
Restate is a lightweight runtime you self-host, requiring you to manage scaling, identity, and policy. Catalyst is a managed platform that handles these operations, including workload identity, MCP authorization, and verifiable execution from cloud to air-gapped environments. For teams scaling agentic workflows across multiple frameworks, Catalyst reduces operational burden by providing these capabilities out of the box.
Restate provides durable execution with replay for deterministic workflows, ; as of the verification date, its public documentation does not list verifiable execution with workload identity and policy logs. Catalyst includes verifiable execution, binding each agent run to a verifiable identity and recording MCP tool invocations for audit. This makes Catalyst more suitable for compliance-driven environments where auditability of agent actions is required.
Choose Restate if you need a lightweight, deterministic durable execution runtime and plan to use a single agent framework with custom state management. Choose Catalyst if you want to run multiple agent frameworks (LangGraph, CrewAI, OpenAI SDK) under a governed platform with workload identity, MCP policy, and verifiable execution. Catalyst's framework-agnostic design lets you switch or combine frameworks without rearchitecting durability.
Restate has its own SDK and runtime, requiring learning a new model. For teams familiar with Dapr, Catalyst builds on Dapr Workflows, so the learning curve is lower—you already understand the building blocks. Catalyst adds agent runners, identity, and MCP policy on top, which are new concepts but align with Dapr's distributed application patterns. Restate is a separate ecosystem with different primitives.
Restate uses virtual objects with built-in state management, treating state as a first-class primitive within its durable execution model. Catalyst separates concerns: Dapr Workflows handle durable execution, while state is managed via Dapr's state management building block (e.g., Redis, SQL Server). This gives you flexibility to choose your state store and lifecycle, but adds configuration effort. If you want state tightly coupled to workflow logic with minimal setup, Restate is simpler. Catalyst suits teams needing separate state backends for compliance or multi-region replication.
Choose Restate when your agent workflows require tightly integrated state management with minimal infrastructure decisions. Restate's virtual objects automatically persist state within the durable execution runtime, so you don't configure external stores. Catalyst, built on Dapr, requires you to set up a state store component (e.g., PostgreSQL, CosmosDB) and manage its lifecycle. If you want state to 'just work' without separate provisioning, Restate is the simpler fit. Catalyst offers more state store choices if you need that flexibility.
Yes, migration is possible but requires careful planning since the state models differ. Restate's virtual objects store state as key-value pairs within its runtime, while Catalyst uses Dapr state stores with configurable consistency and concurrency. You'll need to export Restate state, map it to Dapr state keys, and implement idempotent replay to avoid duplication. Catalyst's durable workflows can then reference this state via Dapr's state management API. There's no automated migration tool; it's a manual process involving schema mapping and testing.
Catalyst does not have built-in state encryption within the durable execution runtime; encryption depends on the configured Dapr state store (e.g., encryption-at-rest in Azure CosmosDB). For audit logging, Catalyst leverages Dapr's observability with OpenTelemetry, but there's no native state-specific audit trail. Restate's virtual objects include automatic state journaling and replay, providing inherent auditability for state changes. If you need state-level encryption and audit without extra configuration, Restate is simpler. Catalyst gives you flexibility to implement these via your chosen state store.
Catalyst relies on Dapr's state management building block, which supports strong consistency via options like first-write-wins or last-write-wins per store. For multi-region setups, you configure a globally replicated state store (e.g., CosmosDB multi-master), but Catalyst itself doesn't manage cross-region state synchronization. Restate's virtual objects maintain state within a single runtime instance, requiring external replication for multi-region. For simpler single-region consistency, Restate's built-in model is easier. Catalyst suits teams needing custom multi-region state strategies with their own store.
Catalyst requires you to provision and manage a Dapr state store component (e.g., Redis, SQL Server), including connection strings, scaling, backups, and monitoring. Restate's virtual objects eliminate this by embedding state within the runtime, reducing operational overhead. However, Catalyst's approach gives you control over state store selection, retention policies, and compliance requirements. If you prefer minimal ops and state that 'just works' out of the box, Restate is simpler. Catalyst is better when you need to enforce specific state store SLAs or audit controls.
Catalyst supports MCP tool authorization and policy enforcement, allowing you to define which agents can access specific state keys or state stores via workload identity. As of the verification date, public documentation for Restate's virtual objects does not list an equivalent per-key control; state is documented as accessible within the runtime. If you need granular state access control for multi-tenant agent workflows, Catalyst's policy layer provides that capability. Restate is simpler if state access is uniform across agents. Catalyst adds complexity for security-conscious deployments.
Yes, Restate's virtual objects provide a simpler learning curve because state is automatically managed and co-located with workflow logic. Catalyst requires understanding Dapr's state management building block, including component configuration, consistency modes, and concurrency patterns (e.g., optimistic concurrency). If your team has Dapr experience, Catalyst may feel familiar. Otherwise, Restate's integrated state model reduces cognitive overhead. Catalyst's flexibility with external stores is powerful but demands more upfront learning for state handling.
Catalyst provides observability through workload identity and verifiable execution logs, allowing you to trace agent calls and workflow steps across frameworks. Restate offers built-in observability with request tracing and state inspection via its CLI and dashboard. Catalyst's advantage is unifying observability across diverse agent frameworks (LangGraph, CrewAI) under a single identity and policy model, while Restate focuses on its own runtime's internal state and journaled services.
Catalyst supports testing agent workflows by running them in isolation with verifiable execution logs, enabling replay and debugging of both deterministic and probabilistic steps. Restate provides local testing via its runtime and SDK mocking, but focuses on deterministic journaled services. Catalyst's framework-agnostic runners let you test agents from LangGraph or OpenAI Agents SDK as-is, while Restate requires adapting to its SDK and workflow model.
Catalyst allows you to develop with your preferred agent framework locally, then deploy to a managed runtime without changing code. Restate requires using its SDK and running a local Restate server for development. Catalyst's local dev experience includes workload identity and MCP tool authorization policies that mirror production, while Restate's is simpler but limited to its own runtime model. Choose Catalyst if you want to keep existing agent frameworks and production controls from day one.
Catalyst provides verifiable execution logs that capture both deterministic workflow steps and probabilistic AI decisions, enabling full replay and audit. Restate's replay focuses on deterministic journaled service invocations, not probabilistic agent outputs. Catalyst's approach lets you trace why an agent chose a specific tool or path, while Restate is better suited for debugging deterministic logic. For AI agent debugging, Catalyst's verifiable execution offers deeper insight into non-deterministic behavior.
No, Catalyst and Restate use different observability and testing models. Catalyst exposes verifiable execution logs via workload identity and integrates with standard logging/APM tools, while Restate has its own CLI and dashboard for state inspection. You cannot directly reuse Restate-specific tooling with Catalyst. However, Catalyst's logs are structured for easy export to common observability platforms (e.g., OpenTelemetry), making them compatible with broader toolchains.
Catalyst provides unified observability across frameworks like LangGraph, CrewAI, and OpenAI Agents SDK by tagging all calls with workload identity and logging verifiable execution traces. Restate's observability is tailored to its own runtime and SDK, not multi-framework agents. If you run agents from multiple frameworks, Catalyst gives a single pane of glass for tracing and debugging, while Restate would require custom instrumentation to bridge framework-specific logs.
