kitio.aiAgentOps vs ZenML
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. ZenML has the lower starting price: about $39 a month, against $40 for AgentOps.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Agent session tracing
- Time-travel replay debugging
- LLM cost tracking
- Prompt injection logging
- Fine-tuning on saved completions
- 400+ framework integrations
- Python pipeline orchestration
- Runs on your own infrastructure
- Agent session replay with Kitaru
- Evaluators and experiment runs
- Model and artifact control planes
- Self-hosted open source
| Feature | AgentOps | ZenML |
|---|---|---|
| Best for | Observability, replay debugging and cost tracking for AI agents | Open-source orchestration for ML pipelines and AI agents |
| Category | Models & APIs | Models & APIs |
| Pricing model | Freemium | Freemium |
| Starting price | $40/mo | $39/mo |
| Free plan | Yes | Yes |
| Made by | AgentOps | ZenML |
| Based in | – | Germany |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
ZenML has the lower starting price: about $39 a month, against $40 for AgentOps.
Free plan
Cheapest paid plan
Top plan
Free trial
3 plans
Basic
Free
- Up to 5,000 events
- Cost tracking for 400+ LLMs
- Replay analytics
Pro
$40/mo
- Starting price, pay as you go
- Unlimited events and retention
- Session export
- Role-based permissions
Enterprise
Custom
- SLA and Slack Connect
- Custom SSO
- Self-hosting and on-premise
4 plans
Open Source
Free
- Self-hosted
- Evaluators and experiment runs
- Community support
Kitaru Cloud
$39/mo
- 3 agents and 2 seats
- 90-day session retention
- Hosted dashboard
- 14-day full-access trial
Scale
$999/mo
- 2,000 executions per month
- 3 projects
- Model and artifact control planes
- Audit logs
Enterprise
Custom
- Air-gapped deployment
- Custom limits
Prices in USD, checked Oct 29, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
AgentOps
- Quick setup with one SDK
- Broad framework support
- Free tier for small projects
- Free plan capped at 5,000 events
- Pro pricing is usage-based
- Self-hosting only on Enterprise
ZenML
- Apache 2.0 open source core
- Works with existing orchestrators and clouds
- Replays real sessions to test agent changes
- Flat $39 plan for Kitaru Cloud
- Scale plan starts at $999 a month
- Requires Python engineering skills
- Self-hosting means running it yourself
Which one should you choose?
Choose AgentOps if you want:
- Quick setup with one SDK
- Broad framework support
- Free tier for small projects
Watch out: free plan capped at 5,000 events.
Choose ZenML if you want:
- Apache 2.0 open source core
- Works with existing orchestrators and clouds
- Replays real sessions to test agent changes
Watch out: scale plan starts at $999 a month.
AgentOps vs ZenML FAQ
What is the difference between AgentOps and ZenML?
AgentOps: Observability, replay debugging and cost tracking for AI agents. ZenML: Open-source orchestration for ML pipelines and AI agents. Both are models & apis tools.
Is AgentOps or ZenML cheaper?
ZenML has the lower starting price: about $39 a month, against $40 for AgentOps.
Do AgentOps and ZenML have free plans?
AgentOps: Yes. ZenML: Yes.
Who makes AgentOps?
AgentOps is made by AgentOps.
Who makes ZenML?
ZenML is made by ZenML, based in Germany.
Which should I choose, AgentOps or ZenML?
Choose AgentOps if you value quick setup with one sdk and broad framework support. Choose ZenML if you value apache 2.0 open source core and works with existing orchestrators and clouds.