Compare
Head-to-heads
The approaches people try before a semantic cache, then named tools: GPTCache, LiteLLM, Redis and the gateway caches. Where Morrow wins and where it loses.
Request 1
explain mutexes
Request 2
explain mutexes
Same question, paid twice
Model called01
Always calling the model
Always fresh, always paid. Morrow wins on repeats and paraphrases.
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explain mutexes
Request 2
please explain mutexes
Hashes differ
X-Jevcache: MISS02
Exact-only cache
Exact is safe and narrow. We keep exact hits and add same-intent, fail-open.
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latest node release?
Matched on shared words
node release notes
Shared words, different question
Wrong hit03
Word overlap
Overlap catches paraphrases but gives wrong hits on freshness questions. Offline FPR 0.49 at Jaccard@0.35.
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Named tools
Facts taken from each project’s own docs, with sources on every page.
vs GPTCache
Python library with an embedding threshold. MorrowCache is a proxy for any client, with a judge.
vs LiteLLM caching
A gateway whose docs advise exact caching for agents. MorrowCache can sit in front of it.
vs Redis LangCache and RedisVL
Scales across servers; your code calls it. MorrowCache needs no code change but is one process.
vs Helicone, Portkey, Cloudflare, Bifrost
Gateway caches: mostly exact-match, semantic ones on a cosine threshold or enterprise plans.
Prefer a miss over a wrong hit.
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