Savings
30-60%
Lower LLM spend on repeated work
SharedBrain is a shared semantic cache for AI agent fleets. One line of config. Instant savings.
Starter billing begins at $29/mo. Fleet pricing starts at €0.001/hit.
Savings
30-60%
Lower LLM spend on repeated work
Setup
1 line
Swap your base URL and go live
Scope
Org-wide
Hits are shared across every agent
How it works
SharedBrain sits in front of your LLM traffic, resolves semantic repeats, and shares hits across the organization instead of inside one isolated agent runtime.
Point your agents to api.sharedbrain.app instead of OpenAI. One-line change.
SharedBrain intercepts calls and caches responses semantically. Not just exact matches.
Every cache hit means zero LLM cost, shared across all your agents in the organization.
Pricing
Start with predictable pricing, then move to per-hit billing when your agent fleet reaches real scale.
Included in every plan
| Plan | Price | Quota | Action |
|---|---|---|---|
Starter Small production workloads | $29/mo | 100K cached requests | Get started |
Pro Growing agent teams | $99/mo | 500K cached requests | Get started |
Team Shared cache across multiple products | $299/mo | 2M cached requests | Get started |
Fleet (usage-based) For high-volume agent fleets | From €0.001/hit | Unlimited, volume discounts | Contact us |
Why SharedBrain
This is infrastructure, not another prompt wrapper. It removes repeated LLM spend with minimal change to how your agents already operate.
Catch repeated intent, not only identical token sequences. SharedBrain recognizes near-duplicate work before you pay for it again.
The cache is mutualized at the organization layer, so one agent’s win becomes every agent’s win.
No SDK rewrite. No orchestration detour. Point traffic at SharedBrain and keep your current agent stack moving.
Track hit rates, understand avoided cost, and show finance exactly where the LLM budget went down.
Ready to switch
Put SharedBrain between your agents and the model provider, then let every successful response pay for the next one.