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Kitaru for agent replay, ZenML for AI workflow orchestration. See how each holds up against the other tools you might be considering.
Agents · Kitaru
Build the agent with the Claude Agent SDK. Record, replay, and evaluate its runs with Kitaru.
Keep Braintrust as your system of record. Import its logs and replay them against your real code.
Keep Langfuse as your trace store. Import its traces into Kitaru and replay them against your real code.
Keep LangSmith as your trace store. Import its runs into Kitaru and replay them against your real code.
Keep your harness freedom. Add a replay-based eval loop across whatever your teams pick.
Design the crew with CrewAI. Import its traces into Kitaru and replay them as evals.
Build the agent with Pydantic AI. Replay and eval it with Kitaru.
Build the agent with the OpenAI SDK. Replay and eval its runs with Kitaru.
Keep Arize for tracing and issue detection. Import Phoenix traces into Kitaru and replay them against your real code.
Keep Raindrop watching production. Turn what it flags into cohorts Kitaru replays on every change.
Keep Logfire as your observability layer. Import its spans into Kitaru and replay them against your real code.
AI orchestration · ZenML
Keep the SDK. Add versioned artifacts, step caching, approvals, and deployment on your own cloud around it.
Pipelines and agents with durable waits, versioned artifacts and step caching. No Temporal underneath.
Pipelines and agents with durable waits, versioned artifacts and step caching. No DBOS underneath.
Pipelines and agents with durable waits, caching, sandboxes and versioned artifacts. No Hatchet underneath.
Pipelines and agents with durable waits, caching, sandboxes and versioned artifacts. No Inngest underneath.
Pipelines and agents with durable waits, versioned artifacts and step caching. No Restate underneath.
Keep the crew. Add versioned artifacts, step caching, approvals, and your own cloud around it.
Build the agent with Pydantic AI. Orchestrate it, version its outputs, and run it on your cloud with ZenML.
Build the agent with the OpenAI SDK. Orchestrate it, version its outputs, and run it on your cloud with ZenML.
Keep the graph. Run it on your own cloud, with versioned artifacts and lineage you own.
E2E Platform
Orchestrator
Orchestrator
E2E Platform
E2E Platform
E2E Platform
Orchestrator
Orchestrator
E2E Platform
E2E Platform
Data/Model Versioning
Orchestrator
Modeling
Orchestrator
Model Serving
Orchestrator
Data Annotation
LLM Observability
GenAI Framework
E2E Platform
Experiment Tracker
Orchestrator
Model Serving
E2E Platform
E2E Platform
