Orkes Conductor orchestrates your workflows and agents. But an agentic system is far more than an orchestration engine — it also needs agents, memory, streaming, APIs, and governance. Orkes runs agents, guardrails, and human approvals inside Conductor workflows. With Orkes you source, integrate, and operate the long-term memory and streaming layers yourself. Akka delivers them as one runtime, on the same durability principles, at higher guarantees.
Orkes Conductor gives you a durable, event-driven engine for orchestrating long-running workflows and agents, descended from Netflix Conductor. Durable execution covers the workflow layer of an agentic system. In Conductor an agent is a workflow that calls an LLM to decide its next step. Guardrails and human approvals run as steps in that workflow. The vector store for long-term memory and the message brokers for streaming are pieces you select, wire together, and operate around the orchestration core, and you own every failure between them.
Orkes Cloud advertises an availability SLA of up to 99.99% for Enterprise. Its published SLA terms list a 99.9% plan and a 99.0% plan, with service credits as the sole remedy. Self-hosted Conductor keeps state in datastores you provision and operate, each under its own availability terms. The Conductor docs recommend PostgreSQL for production.
Akka gives you agents, durable state, streaming, APIs, and governance as one pre-integrated runtime — built on the same durable-execution principles that orchestration engines are known for, extended to the whole system. You describe the system you want, and the platform generates it, tests it, and runs it. Because everything runs in one runtime, a system that compiles is ready for production.
Akka keeps it running around the clock, with active-active replication and automatic failover, and stands behind a contractual 99.9999% availability SLA on the entire platform, backed by indemnities.
| Dimension | With Orkes | With Akka |
|---|---|---|
| Scope | Durable orchestration of long-running workflows and agents — the orchestration core. Long-term memory and streaming are layers you select, integrate, and operate yourself. | Orchestration plus the whole system — agents, memory, streaming, APIs, and governance on one pre-integrated runtime, on the same durability principles. |
| Availability | Up to 99.99% advertised for Enterprise — about 52 minutes a year. The published SLA terms list 99.9% and 99.0% plans, with service credits as the sole remedy. RTO and RPO are not published as numeric guarantees, and the SLA covers the orchestration platform. | 99.9999% on the entire platform — about 31 seconds a year — active-active, sub-1-minute RTO, zero-byte RPO. |
| State & memory | Agent session state persists in workflow variables at every transition. Long-term memory uses an external vector database such as Pinecone, pgvector, or MongoDB Atlas. Self-hosted Conductor keeps state in datastores you operate. | Durable state held in memory, replayable from its event journal — 4 ms reads, sub-10 ms writes. |
| Agents | The Conductor agent runtime, which now includes Agentspan, compiles agents into durable workflows. An MCP/API gateway exposes workflows as tools. Long-term memory and streaming are yours to assemble. | Native agents with tools, handoffs, guardrails, and interaction logging built into the runtime. |
| Governance | RBAC, configuration audit logs, and secret management cover operations. Agent guardrails run inline and can block a step, retry it, or pause it for human approval. Orkes maps no control to a named regulation and offers no pre-deployment classification. | Akka Verify applies any control to any AI system and guarantees its enforcement, including HITL, HOTL, guardrails, and evaluations, with a tamper-evident record of each. |
| Spec-driven delivery | Conductor Skills teaches coding agents such as Claude Code to create and run Conductor workflows. Agent Evals check an agent's tool calls, routing, and output before a version is promoted. Orkes offers no tool that builds a system from a written specification. | Akka Specify builds agentic systems from your specifications and releases only what meets your definition of done. |
| Model optimization | Each LLM task names its provider and model, across 12 providers including Anthropic, OpenAI, Google Gemini, and AWS Bedrock. Orkes documents no automatic model routing, fine-tuning, distillation, or model registry. | Akka Optimize puts each request on the best model for the task, including smaller models trained on your data. |
| Infrastructure cost | Enterprise pricing is custom and not published. The free Developer Edition has no SLA and is not for production. The vector store and message brokers around Conductor are provisioned and billed separately. | One shared-compute runtime carries the same volume on up to 90% less infrastructure, at a fixed annual fee. Akka Optimize keeps improving the models on your own production traffic, so cost per task keeps falling as the system runs. |
Orkes runs guardrails and human approvals as steps inside Conductor workflows, declared in each agent or workflow definition. Orkes guardrails act only on agents and workflows that run on Conductor. Orkes maps no control to a named regulation.
Declared per agent and task
Orkes Cloud holds SOC 2 Type II and provides role-based access control, secret management, and configuration audit logs. Guardrails check agent input, output, and tool arguments before a step runs. An approval step pauses an agent until a person decides. Orkes publishes no regulation mapping and no pre-deployment classification.
Conductor records each guardrail verdict in the workflow execution history. Every LLM call and tool call is stored and can be replayed. Orkes does not describe that history as tamper-evident.
Block & escalate
Risk teams govern every agentic system without waiting on its developers, and every control they apply is guaranteed to be enforced. Risk teams choose from 1,718 controls drawn from 241 regulations and frameworks. Human-in-the-loop approvals, human-on-the-loop halt switches, sanitizers, guardrails, evaluations, testing gates, and simulations all run before an action executes and block or escalate anything that does not pass.
Every call is traced automatically into petabyte-scale, tamper-evident storage, and that same trace data feeds continuous evaluations that keep running in production, right alongside your agents.
Reach for Orkes when you need durable orchestration of long-running workflows, when the work is coordinating steps and tools inside a larger system, and when your team is ready to select, integrate, and operate the long-term memory and streaming layers around the orchestration core. Conductor carries a real orchestration heritage from Netflix and runs in production at large enterprises.
Reach for Akka when you are building an agentic system — agents, memory, streaming, APIs, and governance — and you want them pre-integrated and operated under one SLA, with recovery and governance built in on the same durability principles.
The Akka Agentic AI Platform builds, runs, governs and optimizes the entire agentic system under a contractual SLA — orchestration included, on the same durable-execution principles Orkes Conductor is built on. Tell us what you are building, and we will show you how it runs in production.
