# \[ANN\] MemoizationKit.jl: memoization with bounded memory, disk persistence, and a live dashboard

**URL:** <https://discourse.julialang.org/t/ann-memoizationkit-jl-memoization-with-bounded-memory-disk-persistence-and-a-live-dashboard/139902>\
**Category:** Package Announcements\
**Tags:** cache, memoize\
**Created:** [October 8, 2026, 7:20pm UTC](https://discourse.julialang.org/t/ann-memoizationkit-jl-memoization-with-bounded-memory-disk-persistence-and-a-live-dashboard/139902 "2026-10-08T19:20:56Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![lkdvos](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/lkdvos/32/43091_2.png) [@lkdvos](https://discourse.julialang.org/u/lkdvos)\
**Post date:** [October 8, 2026, 7:20pm UTC](https://discourse.julialang.org/t/ann-memoizationkit-jl-memoization-with-bounded-memory-disk-persistence-and-a-live-dashboard/139902/1 "2026-10-08T19:20:56Z")

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MemoizationKit.jl v0.1.0 memoizes expensive functions and gives you tools to manage the caches: limit memory, keep results across runs, and see what they’re doing.

```julia
using MemoizationKit

@cached function fib(n::Int)::BigInt
    n < 2 ? BigInt(n) : fib(n - 1) + fib(n - 2)
end

fib(100) # compute and cache
cache_info(fib) # size and hit/miss statistics
set_cache_size!(fib, 1000) # bound the cache

```

**Features**

- **Bounded storage:** Clock and LRU eviction strategy, with limits in entries or bytes across all methods of a function.
- **Disk persistence:** load SQLite.jl to keep results across runs, or ship precomputed results as artifacts.  
Lookups go RAM, then artifact, then local database, then computation.
- **Live dashboard:** load Tachikoma.jl and call `cache_dashboard()` to browse hit rates, sizes, and activity for RAM and disk caches.  
You can also clear or resize caches from the terminal.
- **Fast RAM hits:** return-type inference is preserved, and RAM hits don’t allocate for concrete keys with the built-in containers.
- **Strategies by function and argument type:** shared, task-local, or no caching via `CacheStyle`.
- **Custom keys:** `MemoizationKit.cachekey` lets equivalent inputs share a result, and `Hashed` customizes hashing and equality.
- **Configuration and profiling:** Preferences set defaults per package or function, and TimerOutputs.jl integration profiles lookups and computations.

If a single in-memory cache is all you need, Memoize.jl or Memoization.jl with an LRU container may already be enough.  
MemoizationKit targets workloads where the cache needs ongoing management.  
The docs include a comparison.

- Docs: [https://quantumkithub.github.io/MemoizationKit.jl/stable/](https://quantumkithub.github.io/MemoizationKit.jl/stable/)
- Source: [GitHub - QuantumKitHub/MemoizationKit.jl: Memoization for Julia with bounded memory, persistent disk cachin, and a live terminal dashboard · GitHub](https://github.com/QuantumKitHub/MemoizationKit.jl)

Feedback, issues, and PRs are very welcome!