Why Sleev

Sleev cuts your token spend by 30% to 80% per session without changing your agentic stack. Our edge: keep the signal, cut the noise, spend fewer tokens getting the same or better work done.

The problem

Agent sessions are inherently messy. Requests pile up: tool responses, skills, explorations, error backtracks, logs, file reads… The important bits get buried under noise, things get lost in the middle. As the session grows, this compounds. Requests get bigger, more expensive, and inevitably worse. At scale, this is incredibly inefficient and every request adds to this debt.

How Sleev works

By exposing a purpose-built context management toolkit to your agents, and transparently managing transient session state, your sessions get optimized with each passing request.

Deep Optimization: Tool responses, intermediate steps, inactive explorations, redundant file reads, bash commands… Every session part is intelligently optimized, at the right time.
Guidance: Your agents just know what to do, and how best to leverage Sleev.
Non-Intrusive: By operating in the background, Sleev abstracts all optimization away for a seamless experience.

Caching

A lot of the engineering work in Sleev is about making sessions cheaper without casually destroying the cache behavior providers already offer.

Compression and provider-side prompt caching are not enemies:

Higher Hit Rates: In production tests — especially with OpenAI — Sleev-managed sessions often show higher cache hit rates than unoptimized sessions.
Compound Savings: You pay for fewer total tokens and a higher percentage of those tokens are billed at discounted cached rates.

Smarter sessions