We do not meter the behavior we want to encourage. Pick the plan that fits how your team runs agents today - memory operations stay unmetered for normal use.
Save ~30% billed annually
Developer
Free
For one developer, forever.
For individual developers exploring Spark on personal and project work.
No charge per memory call, retrieval, or agent run. If memory is working, your agents should use it constantly.
Priced per contributor
You budget around people, so do we. Large production-agent deployments are handled through Enterprise pricing rather than surprise usage fees.
Your learning, owned
What your agents discover becomes permissioned, auditable organizational memory that survives model and tool churn.
FAQ
Questions, answered
Do you meter memory operations?v
No. Spark is priced per human contributor, not per memory call, retrieval, or agent run. Normal team usage is unmetered. Large production-agent deployments are handled through Enterprise pricing.
Why per seat if the agents do the work?v
Because agents execute, but teams learn. Spark turns each contributor's decisions, corrections, and context into shared memory that future agents can reuse. Pricing by human contributor keeps that simple: your team's agents can work continuously without every run becoming a billable event.
How is this different from a memory API?v
Memory APIs sell storage and retrieval. Spark is the governed learning loop: what gets captured, permissioned, audited, promoted, and safely reused across your organization.
Can we start with a free trial?v
Yes, for self-serve teams. Enterprise workflows involving security, tenancy, policy, or programme memory start with a scoped pathfinder against written success criteria.
Not sure where you fit?
Tell us how your team runs agents and we will point you to the right plan - or scope a pathfinder if you are bringing Spark into an enterprise programme.