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hashicorp/golang-lru

Golang LRU cache observed · 2026-08-28

github.com/hashicorp/golang-lru · Go · MPL-2.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

65/100

  • Activity 94
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4410
  • days_rel: n/a
  • days_push: 37
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

5114 stars · 541 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Go library implementing fixed-size, thread-safe LRU caches, including variants with TTL-based expiration and ARC support. It is based on the cache implementation from Groupcache and is maintained by HashiCorp.

Use cases

  • add an in-memory LRU cache to a Go application
  • limit memory usage by evicting least recently used entries
  • cache values with a time-to-live expiration
  • build a thread-safe bounded cache for concurrent access
  • memoize expensive function results with a fixed-size cache

When to choose

  • you need a small, dependency-light, thread-safe LRU cache in Go
  • you want optional TTL expiration or ARC eviction policies
  • you need generics support for typed cache keys and values

When to avoid

  • you need a distributed or shared cache across processes (use Redis or similar)
  • you need persistence or advanced features like cache statistics dashboards
  • your application is not written in Go

Facets

library · maturity stable

caching developer-tools performance go cross-platform lru-cache in-memory-cache thread-safe ttl eviction

1 source

Member repositories

RepositoryRoleHealth v2
hashicorp/golang-lrumain65

For agents

markdown · JSON · MCP: product_card(name="hashicorp/golang-lru")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem