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Kitaru for AI agents, ZenML for ML pipelines. See how each holds up against the other tools you might be considering.
Agents · Kitaru
Keep the SDK. Import or record its runs, then replay and evaluate them with Kitaru.
Temporal keeps your agent alive in production. Kitaru replays what it did as evals.
DBOS keeps your agent durable in production. Kitaru replays what it did as evals.
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.
Restate keeps your services durable in production. Kitaru replays what your agent did as evals.
Record what's already running on Inngest as sessions. Replay them as evals — nothing touches real systems.
Record what's already running on Hatchet as sessions. Replay them as evals — nothing touches real systems.
MLOps · ZenML
e2e platforms
orchestrators
orchestrators
e2e platforms
e2e platforms
e2e platforms
orchestrators
orchestrators
e2e platforms
e2e platforms
data model versioning
orchestrators
modeling
orchestrators
model serving
orchestrators
data annotators
llm observability
genai frameworks
e2e platforms
experiment trackers
orchestrators
model serving
e2e platforms
e2e platforms
