<?xml version="1.0" encoding="UTF-8"?>
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    <title>cache</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/490/feed"/>
    <updated>2026-08-01T22:09:02+00:00</updated>
    <id>https://links.biapy.com/guest/tags/490/feed</id>
            <entry>
            <id>https://links.biapy.com/links/13398</id>
            <title type="text"><![CDATA[claude-thermos]]></title>
            <link rel="alternate" href="https://github.com/izeigerman/claude-thermos" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13398"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Keeps your Claude session warm for you.

Stop paying to rebuild your Claude Code cache. When your main agent waits on a subagent for more than 5 minutes, its prompt cache silently expires, and the next turn re-encodes your entire conversation at the write rate instead of reading it back cheap. On long sessions with many subagents that&amp;#039;s roughly 20% of your bill. claude-thermos keeps the cache warm so you never pay that tax.]]>
            </summary>
            <updated>2026-07-24T12:24:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12892</id>
            <title type="text"><![CDATA[Murr]]></title>
            <link rel="alternate" href="https://github.com/murrdb/murr" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12892"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Sub-millisecond cache for ML/AI workloads. Parquets in, Arrow-Flight out. 

Murr is a caching layer for ML/AI data serving that sits between your batch data pipelines and inference apps.

A RocksDB-based NVMe/S3 cache for AI inference workloads. A faster Redis replacement, optimized for batch low-latency zero-copy reads and writes.]]>
            </summary>
            <updated>2026-06-02T06:37:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12536</id>
            <title type="text"><![CDATA[Django VCache]]></title>
            <link rel="alternate" href="https://vcache.glitchtip.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12536"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A fast, async-native Django cache backend for Valkey (and Redis). Opinionated and secure by default.

- [Django VCache @ GitLab](https://gitlab.com/glitchtip/django-vcache).

Related contents:

- [Making Django faster: django-vcache @ GlitchTip Blog](https://glitchtip.com/blog/2026-04-02-django-vcache).]]>
            </summary>
            <updated>2026-04-14T06:17:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12113</id>
            <title type="text"><![CDATA[squid]]></title>
            <link rel="alternate" href="https://www.squid-cache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12113"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Optimising Web Delivery.

 Squid is a caching proxy for the Web supporting HTTP, HTTPS, FTP, and more. It reduces bandwidth and improves response times by caching and reusing frequently-requested web pages. Squid has extensive access controls and makes a great server accelerator. It runs on most available operating systems, including Windows and is licensed under the GNU GPL. 

- [squid @ GitHub](https://github.com/squid-cache/squid).]]>
            </summary>
            <updated>2026-03-13T13:48:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12052</id>
            <title type="text"><![CDATA[🗄️ pg_semantic_cache]]></title>
            <link rel="alternate" href="https://github.com/pgEdge/pg_semantic_cache" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12052"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Intelligent Query Result Caching for PostgreSQL

Leverage vector embeddings to cache and retrieve query results based on semantic similarity.

- [Semantic Caching in PostgreSQL: A Hands-On Guide to pg_semantic_cache @ pgEdge](https://www.pgedge.com/blog/semantic-caching-in-postgresql-a-hands-on-guide-to-pg_semantic_cache).]]>
            </summary>
            <updated>2026-03-09T07:48:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11538</id>
            <title type="text"><![CDATA[GitHub Cache action]]></title>
            <link rel="alternate" href="https://github.com/actions/cache" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11538"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Cache dependencies and build outputs in GitHub Actions.

Related contents:

- [GitHub Actions cache saved us $2,100/month @ Branko&amp;#039;s nitter](https://nitter.net/brankopetric00/status/2012582708417831201).
- [Cache GitHub Actions : accélérer vos workflows @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/pipeline-cicd/github/optimiser/cache/).]]>
            </summary>
            <updated>2026-01-20T08:54:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11186</id>
            <title type="text"><![CDATA[Readyset]]></title>
            <link rel="alternate" href="https://readyset.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11186"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Drop-in SQL Caching for PostgreSQL and MySQL.

 Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes. 

- [Readyset @ GitHub](https://github.com/readysettech/readyset).

Related contents:

- [You Gotta Push If You Wanna Pull @ Gunnar Morling](https://www.morling.dev/blog/you-gotta-push-if-you-wanna-pull/).]]>
            </summary>
            <updated>2025-12-08T13:44:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11107</id>
            <title type="text"><![CDATA[Web Cache Vulnerability Scanner]]></title>
            <link rel="alternate" href="https://github.com/Hackmanit/Web-Cache-Vulnerability-Scanner" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11107"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Web Cache Vulnerability Scanner is a Go-based CLI tool for testing for web cache poisoning and web cache deception.

The scanner supports many different web cache poisoning and web cache deception techniques, includes a crawler to identify further URLs to test, and can adapt to a specific web cache for more efficient testing. It is highly customizable and can be easily integrated into existing CI/CD pipelines.]]>
            </summary>
            <updated>2025-11-27T07:13:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10810</id>
            <title type="text"><![CDATA[Butter]]></title>
            <link rel="alternate" href="https://www.butter.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10810"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Butter is a cache that identifies patterns in LLM responses and saves you money by serving responses directly.

It&amp;#039;s also deterministic, allowing your AI systems to consistently repeat past behaviors.]]>
            </summary>
            <updated>2025-10-29T12:57:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10587</id>
            <title type="text"><![CDATA[Recall 🧠]]></title>
            <link rel="alternate" href="https://github.com/joseairosa/recall?utm_source=tldrwebdev" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10587"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Give Claude perfect recall - Redis-powered persistent memory for LLM.
Give Claude perfect recall with persistent memory that survives context limits and session restarts.

Recall is a brain extension for Claude that stores memories in Redis. 

Your AI assistant can now remember important context, decisions, and patterns across all conversations—no more repeating yourself or losing critical information when the context window fills up.]]>
            </summary>
            <updated>2025-10-09T11:45:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10425</id>
            <title type="text"><![CDATA[foyer]]></title>
            <link rel="alternate" href="https://foyer-rs.github.io/foyer/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10425"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Hybrid Cache in Rust.
Seamlessly integrates both in-memory and disk cache for optimal performance and flexibility.

foyer aims to be an efficient and user-friendly hybrid cache lib in Rust.
foyer draws inspiration from Facebook/CacheLib, a highly-regarded hybrid cache library written in C++, and ben-manes/caffeine, a popular Java caching library, among other projects.

- [foyer @ GitHub](https://github.com/foyer-rs/foyer).

Related contents:

- [The Case for Hybrid Cache for Object Stores @ Data Engineer Things&amp;#039; Medium](https://blog.dataengineerthings.org/the-case-for-hybrid-cache-for-object-stores-4b1f02ec6c9a).
- [S3 is the perfect place to store data, until you try to search it @ Gordon Murray](https://gordonmurray.ie/data/2026/05/02/s3-is-the-perfect-place-to-store-data-until-you-try-to-search-it.html).]]>
            </summary>
            <updated>2026-05-15T13:58:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10357</id>
            <title type="text"><![CDATA[Varnish HTTP Cache]]></title>
            <link rel="alternate" href="https://varnish-cache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10357"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Varnish Cache is a web application accelerator also known as a caching HTTP reverse proxy. You install it in front of any server that speaks HTTP and configure it to cache the contents. Varnish Cache is really, really fast. It typically speeds up delivery with a factor of 300 - 1000x, depending on your architecture. A high level overview of what Varnish does can be seen in this video.

- [Varnish HTTP Cache @ GitHub](https://github.com/varnishcache/varnish-cache).]]>
            </summary>
            <updated>2025-09-23T07:34:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10247</id>
            <title type="text"><![CDATA[Cachey]]></title>
            <link rel="alternate" href="http://cachey.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10247"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Read-through cache for object storage.

High-performance read-through cache for object storage.

- [Cachey @ GitHub](https://github.com/s2-streamstore/cachey).]]>
            </summary>
            <updated>2025-09-17T11:31:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/318</id>
            <title type="text"><![CDATA[Pogocache]]></title>
            <link rel="alternate" href="https://pogocache.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/318"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast caching software with a focus on low latency and cpu efficiency. 

Pogocache is fast caching software built from scratch with a focus on low latency and cpu efficency.

Faster: Pogocache is faster than Memcache, Valkey, Redis, Dragonfly, and Garnet. It has the lowest latency per request, providing the quickest response times. It&amp;#039;s optimized to scale from one to many cores, giving you the best single-threaded and multithreaded performance.

- [Pogocache @ GitHub](https://github.com/tidwall/pogocache).]]>
            </summary>
            <updated>2026-01-20T15:24:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/403</id>
            <title type="text"><![CDATA[Otter]]></title>
            <link rel="alternate" href="https://maypok86.github.io/otter/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/403"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Otter is designed to provide an excellent developer experience while maintaining blazing-fast performance. It aims to address the shortcomings of its predecessors and incorporates design principles from high-performance libraries in other languages (such as Caffeine).

- [Otter @ GitHub](https://github.com/maypok86/otter).

Related contents:

- [The Evolution of Caching Libraries in Go @ Otter](https://maypok86.github.io/otter/blog/cache-evolution/).]]>
            </summary>
            <updated>2026-03-25T15:20:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/710</id>
            <title type="text"><![CDATA[Bitwarden Secrets Manager Cache]]></title>
            <link rel="alternate" href="https://github.com/rippleFCL/bws-cache" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/710"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python app implementing a read-through cache for Bitwarden Secrets Manager (BWS) secrets.

When a secret is queried, not only is the secret cached in memory, but a mapping between ID and key is also cached. This allows lookup by either ID or key, as shown below.]]>
            </summary>
            <updated>2025-08-28T17:56:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/782</id>
            <title type="text"><![CDATA[Universal Terraform Provisioner Image]]></title>
            <link rel="alternate" href="https://github.com/zloeber/terraform-cicd-image" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/782"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Docker image for terraform provisioning that supports provider plugin caching and declarative binary installation via mise. 

Related contents:

- [Pre-Cache Terraform Provider Plugins @ Zachary Loeber&amp;#039;s dev.to](https://dev.to/zloeber/pre-cache-terraform-provider-plugins-42kn).]]>
            </summary>
            <updated>2025-08-28T18:08:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/914</id>
            <title type="text"><![CDATA[Spegel]]></title>
            <link rel="alternate" href="https://spegel.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/914"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Stateless cluster local OCI registry mirror.

Speed up container pulls and minimize downtime with a stateless peer-to-peer 
OCI registry mirror for efficient image distribution.

- [Spegel @ GitHub](https://github.com/spegel-org/spegel).

Related contents:

- [Peerd @ GitHub (stolen by Microsoft)](https://github.com/Azure/peerd).
- [Getting Forked by Microsoft @ Philip Laine](https://philiplaine.com/posts/getting-forked-by-microsoft/).]]>
            </summary>
            <updated>2025-08-28T18:30:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1619</id>
            <title type="text"><![CDATA[Buildfarm]]></title>
            <link rel="alternate" href="https://buildfarm.github.io/buildfarm/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1619"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Bazel remote caching and execution service.

Buildfarm is a service software stack which presents an implementation of the Remote Execution API. This means it can be used by any client of that API to retain content in a ContentAddressableStorage, cache ActionResults by a key ActionCache, and execute actions asynchronously with Execution.

- [Buildfarm @ GitHub](https://github.com/buildfarm/buildfarm).

Related contents:

- [Optimiser les temps de build avec Bazel et Buildfarm @ Vincent Composieux :fr:](https://vincent.composieux.fr/article/optimiser-les-temps-de-build-avec-bazel-et-buildfarm).]]>
            </summary>
            <updated>2025-08-28T20:27:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1961</id>
            <title type="text"><![CDATA[Garnet]]></title>
            <link rel="alternate" href="https://microsoft.github.io/garnet/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1961"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A high-performance cache-store from Microsoft Research.

 Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients. 

- [Garnet @ GitHub](https://github.com/microsoft/garnet).]]>
            </summary>
            <updated>2025-08-28T21:24:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2482</id>
            <title type="text"><![CDATA[earthly/setup-ucacher]]></title>
            <link rel="alternate" href="https://github.com/earthly/setup-ucacher" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2482"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Installs ucacher (Earthly Universal Caching) in a GHA job.

ucacher is a CLI tool that tracks which files are accessed by commands, skips unnecessary executions, and restores cached outputs when possible, resulting in significantly reduced execution times.]]>
            </summary>
            <updated>2025-08-28T22:49:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2611</id>
            <title type="text"><![CDATA[Cachix]]></title>
            <link rel="alternate" href="https://www.cachix.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2611"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Nix binary cache hosting. Never build software twice.

Leverage the Nix ecosystem to share binaries between CI, development and deployment environments. 

- [Cachix @ GitHub](https://github.com/cachix/cachix).

Related contents:

- [Declarative Cachix @ GitHub](https://github.com/jonascarpay/declarative-cachix).]]>
            </summary>
            <updated>2025-08-28T23:11:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4996</id>
            <title type="text"><![CDATA[Apache Traffic Server]]></title>
            <link rel="alternate" href="https://trafficserver.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4996"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Apache Traffic Server™ software is a fast, scalable and extensible HTTP/1.1 and HTTP/2 compliant caching proxy server. Formerly a commercial product, Yahoo! donated it to the Apache Foundation, and currently used by several major CDNs and content owners.]]>
            </summary>
            <updated>2025-08-29T05:49:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5327</id>
            <title type="text"><![CDATA[Bloom]]></title>
            <link rel="alternate" href="https://github.com/valeriansaliou/bloom" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5327"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🌸 HTTP REST API caching middleware, to be used between load balancers and REST API workers.]]>
            </summary>
            <updated>2025-08-29T06:44:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5970</id>
            <title type="text"><![CDATA[Knot Resolver]]></title>
            <link rel="alternate" href="https://www.knot-resolver.cz/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5970"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Resolve DNS names like it’s 2023. The Knot Resolver is a caching DNS resolver scalable from huge resolver farms down to https://gitlab.nic.cz/knot/knot-resolver/home network routers.
Knot Resolver is a caching full resolver implementation written in C and LuaJIT, both a resolver library and a daemon. The core architecture is tiny and efficient, and provides a foundation and
a state-machine like API for extensions. There are three modules built-in - iterator, validator, cache, and a few more are loaded by default. Most of the rich features are written in Lua(JIT) and C. Batteries are included, but optional.

- [Knot Resolver&amp;#039;s GitLab](https://gitlab.nic.cz/knot/knot-resolver/)]]>
            </summary>
            <updated>2026-03-30T08:43:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6014</id>
            <title type="text"><![CDATA[kube-image-keeper (kuik, pronounce [kwɪk]!)]]></title>
            <link rel="alternate" href="https://github.com/enix/kube-image-keeper" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6014"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[kube-image-keeper (a.k.a. kuik) is a container image caching system designed for Kubernetes. It ensures the availability of your favorite container images by keeping a local copy within your k8s cluster.]]>
            </summary>
            <updated>2025-08-29T08:40:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6022</id>
            <title type="text"><![CDATA[firebuild/firebuild: automatic build accelerator]]></title>
            <link rel="alternate" href="https://github.com/firebuild/firebuild" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6022"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Firebuild is an automatic build accelerator. It works by caching the outputs of executed commands and replaying the results when the same commands are executed with the same parameters within the same environment.]]>
            </summary>
            <updated>2025-08-29T08:40:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7676</id>
            <title type="text"><![CDATA[SPTPersistentCache]]></title>
            <link rel="alternate" href="https://github.com/spotify/SPTPersistentCache" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7676"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SPTPersistentCache is designed as an LRU cache which makes use of the file system to store files as well as inserting a cache header into each file. This cache header allows us to track the TTL, last updated time, the redundancy check and more. This allows the cache to know how often a file is accessed, when it was made, whether it has become corrupt and allows decisions to be made on whether the cache is stale.]]>
            </summary>
            <updated>2025-08-29T13:17:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8523</id>
            <title type="text"><![CDATA[Internet Archive: Wayback Machine]]></title>
            <link rel="alternate" href="http://archive.org/web/web.php" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8523"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[récupérer une page hors ligne]]>
            </summary>
            <updated>2025-08-29T15:38:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8719</id>
            <title type="text"><![CDATA[phpFastCache - Fastest PHP Caching Class - Reduce mySQL Calls, Improve Speed - High Performance object caching system]]></title>
            <link rel="alternate" href="http://www.phpfastcache.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8719"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[phpFastCache is a high-performance, distributed object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load.]]>
            </summary>
            <updated>2025-08-29T16:10:54+00:00</updated>
        </entry>
    </feed>
