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MorrowCache is a drop-in OpenAI-compatible proxy. Change baseURL—keep your model and API keys. Agents rephrase until done; each try is a full chat bill. Reuse cached completions when a same-intent judge matches (cloud Jev or local Kev/Laya)—not cosine alone. Demo: 2817ms → 423ms on a paraphrase HIT. Fail-open on judge errors. Freshness refuses stale "latest" hits. Streaming & tools bypass. npx @kushalicious/jevcache@latest start · morrowcache.vercel.app/agent-setup
Hey PH 👋 I'm Kushal, maker of MorrowCache.
The pain: same user question, different wording—or an agent that rephrases until the answer "looks done"—and you pay for every chat completion again. Vector-ish caches miss paraphrases or merge the wrong prompts.
MorrowCache is a local OpenAI-compatible proxy. Point your client at http://127.0.0.1:8080/v1, keep your upstream model. Before calling the model, a same-intent adjudicator (TypeSafe Jev by default, or local Kev/Laya) decides whether to reuse the cached answer. Not "similar text" as the only signal.
What I'd call out upfront:
• Fail-open — if the judge errors, the real model still runs
• Freshness — time-sensitive asks can refuse a stale HIT
• Streaming + tool calls bypass the cache (by design in v0)
Quick try (~5 min, Node 22.5+):
npx @kushalicious/jevcache@latest start
Demo with no real API key:
MOCK_UPSTREAM=1 npx @kushalicious/jevcache@latest start --demo
Then send a prompt + a paraphrase → expect MISS then HIT (X-Jevcache headers or /stats).
Easiest in Cursor / Claude Code: copy the setup prompt from
https://morrowcache.vercel.app/a...
Recorded pair on the site: 2817ms MISS → 423ms HIT at intent 0.94 — one example, not a guarantee for every workload.
I'd love feedback from anyone running agents or support bots: where would same-intent caching help, and where would you never trust it? Happy to dig into architecture in the comments.
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About MorrowCache on Product Hunt
“Skip the chat call when the question is the same”
MorrowCache was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #108 on the daily leaderboard. MorrowCache is a drop-in OpenAI-compatible proxy. Change baseURL—keep your model and API keys. Agents rephrase until done; each try is a full chat bill. Reuse cached completions when a same-intent judge matches (cloud Jev or local Kev/Laya)—not cosine alone. Demo: 2817ms → 423ms on a paraphrase HIT. Fail-open on judge errors. Freshness refuses stale "latest" hits. Streaming & tools bypass. npx @kushalicious/jevcache@latest start · morrowcache.vercel.app/agent-setup
MorrowCache was featured in Open Source (68.9k followers), Developer Tools (520.4k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 132.2k products, making this a competitive space to launch in.
Who hunted MorrowCache?
MorrowCache was hunted by Kushal S. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Kushal S