How fast ashishpatel26/omnicache-ai is gaining stars, and where it lands on Trendshift and GitHub Trending
Activity and trending
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
Oct 14 – Oct 26, 2026
Stars +1in 13 days
01
1
Forks +0in 13 days
01
Merged PRs 0in 13 days
01
Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
Oct 14Oct 16Oct 18Oct 20Oct 22Oct 24Oct 26
The left and right arrow keys step from day to day; Home and End go to the first and the last
Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day
Stars gained
Forks gained
Merged PRs
Wed, Oct 14, 2026
+1
+0
0
Thu, Oct 15, 2026
+0
+0
0
Fri, Oct 16, 2026
+0
+0
0
Sat, Oct 17, 2026
+0
+0
0
Sun, Oct 18, 2026
+0
+0
0
Mon, Oct 19, 2026
+0
+0
0
Tue, Oct 20, 2026
+0
+0
0
Wed, Oct 21, 2026
+0
+0
0
Thu, Oct 22, 2026
+0
+0
0
Fri, Oct 23, 2026
+0
+0
0
Sat, Oct 24, 2026
+0
+0
0
Sun, Oct 25, 2026
+0
+0
0
Mon, Oct 26, 2026
+0
+0
0
Total
+1
+0
0
1#1 on the list
7Rank that day
Not trending
Social mentions
Recent discussions about this repository across the web
1 post
⚡ Results: ▸ Up to 90% lower AI costs ▸ Millisecond response times ▸ Better agent consistency 🧠 Big Insight The future of AI infrastructure isn’t just better models. It’s eliminating unnecessary…
Cut LLM costs by up to 80% and unlock sub-millisecond responses with intelligent semantic caching.A drop-in, provider-agnostic LLM proxy written in Go with sub-millisecond response
Production LLM call layer for AI agents and tools: keep OpenAI/Anthropic/AI SDK/LiteLLM, hot-swap models with MDA presets, and add cache, retries, circuit breakers, key rotation, singleflight, and Python/TypeScript/Rust parity.
Essential utilities for building production-ready AI applications with Vercel AI SDK. State management, debugging, structured streaming, intelligent agents, and caching.
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.
