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cachepot

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What cachepot is

Cachepot is an open-source compiler caching tool for Linux, macOS, Windows, and self-hosted environments. It stores build results on local disk or cloud storage so they can be reused instead of recompiling when possible. The documented compiler support includes GCC, Clang, MSVC, rustc, NVCC, and Wind River Diab. Distributed compilation can package local toolchains automatically. Storage choices include local disk, S3, Redis, Memcached, Google Cloud Storage, and Azure Blob Storage. The project documents integrations with Cargo, CMake, Jenkins, GitLab, and Concourse CI. Its distributed compilation security design describes authentication, encrypted transport, and sandboxed compiler execution on build servers, with bubblewrap preferred over Docker. The default local cache limit is 10 gigabytes and can be changed. There are constraints: Rust crates that use the system linker and incrementally compiled crates cannot be cached, and cache hits require matching absolute paths. The repository was archived on February 28, 2023, in favor of upstream sccache. Cachepot is free under the Apache-2.0 license.

Who it suits

Cachepot may suit teams seeking an open-source compiler cache for supported build workflows and storage backends. Its archived status and Rust caching constraints matter for anyone evaluating it for current projects.

What it does well

  • Supports several compilers, including GCC, Clang, and rustc.
  • Offers local and cloud storage backends.
  • Distributed compilation can package local toolchains.
  • Documents Cargo, CMake, Jenkins, and GitLab CI use.
  • Free under the Apache-2.0 license.

What to know first

  • Repository was archived on February 28, 2023.
  • System-linker and incremental Rust crates cannot be cached.
  • Cache hits require matching absolute file paths.
  • Default local cache limit is 10 gigabytes.

Limits

The default local cache size is 10 gigabytes and can be changed with CACHEPOT_CACHE_SIZE. Rust crates that invoke the system linker and incrementally compiled crates cannot be cached; cache hits also require matching absolute file paths.

Plans

PlanBilled and limitsPrice
Open-source softwareApache-2.0 licensed; no hosted plans or pricing are statedFree

As github.com lists them, read 2 Oct 2026. The maker's own page has the final word.

Getting started

  1. Open the Cachepot repository on GitHub.
  2. Choose a supported environment: Linux, macOS, Windows, or self-hosted.
  3. Select a documented compiler and build integration for your workflow.
  4. Choose local disk or a documented cloud storage backend.
  5. For distributed compilation, review the documented security design and sandbox options.

Cachepot is a free, open-source compiler cache for developers and build teams that want to reuse compilation results across local and remote builds. Its broad compiler and storage support is useful, but its archived status makes it a poor default for a new long-term deployment.

Overview

Cachepot avoids recompilation when it can reuse a previous result, storing outputs on local disk or in remote storage. It also supports icecream-style distributed compilation and can package local toolchains automatically. That makes it relevant to teams with varied build environments, provided they can accept the maintenance risk of relying on a repository archived on February 28, 2023 and superseded by upstream sccache.

Key features

Compiler and build support

Supported compilers include GCC, Clang, MSVC, rustc, NVCC, and Wind River Diab. Cachepot documents use with Cargo, CMake, GNU make, Jenkins, GitLab CI, and Concourse CI. This range can suit teams applying caching across multiple toolchains, though it does not remove compiler- or build-specific constraints.

Rust users face two concrete limits: crates that invoke the system linker and incrementally compiled crates cannot be cached. Cache hits also require matching absolute file paths, including paths to third-party crates in Cargo’s default registry cache. Teams whose build paths vary between machines may therefore miss cache opportunities.

Storage and distributed builds

Storage backends include local disk, S3, Redis, Memcached, Google Cloud Storage, and Azure Blob Storage. The default local cache is 10 gigabytes, configurable through CACHEPOT_CACHE_SIZE. The choice of backends is a strength for teams able to operate or configure their own storage, but this is not a hosted service with managed plans.

For distributed compilation, the project describes authentication, transport encryption, and sandboxed compiler execution on build servers. Its threat model supports bubblewrap or Docker sandboxing and prefers bubblewrap. However, server-side hash verification is marked as a hardening goal rather than a completed safeguard. The GitLab guide also warns that compilation output can expose data from the execution environment, so CI secrets should not be treated as secret from that output.

Pricing

Cachepot is free open-source software under Apache-2.0, with no hosted plans. Its Open-source software plan costs nothing. The cost advantage comes with self-management: teams must arrange their own local or remote storage and build infrastructure.

Platforms

Cachepot supports Linux, macOS, Windows, and self-hosted use. That breadth is useful for mixed-platform teams, although consistent absolute paths remain important for cache hits.

Who it's for

Cachepot is best suited to teams with existing workflows built around its supported compilers and build systems, especially those that can self-host storage and distributed build infrastructure. It is less suitable for new pipelines where ongoing maintenance, Rust cache coverage, or protection of CI environment data is a priority.

Pros and cons

  • Pros: Broad compiler support and multiple local and cloud storage backends can serve varied build environments.
  • Pros: Automatic toolchain packaging for distributed compilation can reduce the setup burden for remote workers.
  • Cons: The archived repository and upstream successor make it a risky foundation for a new long-lived deployment.
  • Cons: Rust linker, incremental compilation, and path-matching constraints limit which builds can benefit from caching.
  • Cons: The documented hash-verification gap and GitLab warning require care around remote build security and CI secrets.

Alternatives

Build Cache Software is a useful starting point for comparing tools in this category. Choose Ccache for a free, open-source compiler cache when its single-file compilation model and compiler-flag fallbacks fit your build needs. Bitrise is worth considering when a freemium service with a free plan and build credits for a small project a few times per month better fits your workflow.

For a free remote-caching setup limited to one machine, 32 CPU cores, and Linux, EngFlow Remote Caching offers a defined free tier, with custom pricing for Enterprise. FosterStack provides a full self-hosted cache server on its free plan, while its Team plan costs $49 a month. NativeLink is another free self-hosted option, with a distributed scheduler and remote caching across build systems and major cloud providers. bazel-remote is a free, self-hosted cache whose size is configurable. BuildFetch Cache offers a free plan with 20GB fast cache storage, 50GB network traffic, 100,000 cache requests, and 45 days of LRU retention. MozJPEG is a free open-source JPEG encoder library rather than a compiler cache.

Verdict

Choose Cachepot if you need its broad compiler and storage coverage in an existing self-hosted build setup and can manage its constraints. Its strongest reason to choose it is the combination of distributed compilation and backend flexibility; its archived status, Rust limitations, and security caveats are strong reasons to look elsewhere for a new deployment.

Verdict

Cachepot documents broad compiler, storage, and build integration support, but its repository is archived in favor of upstream sccache. Review its Rust and path constraints before relying on cache hits.

Questions

Does Cachepot cost anything?

It is listed as free open-source software under the Apache-2.0 license.

Which platforms does it support?

The listed platforms are Linux, macOS, Windows, and self-hosted environments.

Which compilers are supported?

The README lists GCC, Clang, MSVC, rustc, NVCC, and Wind River Diab.

Which build systems and CI tools are documented?

The listed build systems include Cargo, CMake, and GNU make. Integrations also include Jenkins, GitLab CI, and Concourse CI.

Can Cachepot use remote storage or distributed compilation?

Yes. Documented storage options include S3, Redis, Memcached, Google Cloud Storage, and Azure Blob Storage, and Cachepot supports distributed compilation.

Is Cachepot still maintained?

The repository says it was archived on February 28, 2023, and superseded in favor of upstream sccache.

Facts from cachepot's own pages

Build integrations
The README describes using Cachepot with Cargo, CMake, and Jenkins, and the official documentation also has GitLab and Concourse CI pages. · github.com, 2 Oct 2026
CI security caveat
The GitLab guide warns that compilation output can leak data from the execution environment and says CI secrets should not be treated as secret from that output. · cachepot.cc, 2 Oct 2026
Default cache limit
The README says the default local cache size is 10 gigabytes and can be changed with CACHEPOT_CACHE_SIZE. · github.com, 2 Oct 2026
Distributed compilation
Cachepot supports icecream-style distributed compilation with automatic packaging of local toolchains. · github.com, 2 Oct 2026
Path limitation
For a cache hit, the README says absolute file paths must match, including paths to third-party Rust crates in Cargo's default registry cache. · github.com, 2 Oct 2026
Platforms
The README says prebuilt x86-64 binaries are available for Windows, Linux, and macOS. · github.com, 2 Oct 2026
Project status
The repository says Cachepot was archived on February 28, 2023 and superseded in favor of upstream sccache. · github.com, 2 Oct 2026
Purpose
Cachepot is a compiler caching tool that avoids recompilation when possible and stores results on local disk or cloud storage. · github.com, 2 Oct 2026
Rust limitations
The README says Rust crates that invoke the system linker and incrementally compiled crates cannot be cached. · github.com, 2 Oct 2026
Sandbox support
The threat model documents built-in sandbox support using bubblewrap or Docker, with bubblewrap named as the preferred choice. · cachepot.cc, 2 Oct 2026
Security caveat
The threat model lists server-side hash verification as a hardening goal and marks it TODO. · cachepot.cc, 2 Oct 2026
Security design
The project describes authentication, transport encryption, and sandboxed compiler execution on build servers as security features of distributed compilation. · github.com, 2 Oct 2026
Storage backends
The documented storage options include local disk, S3, Redis, Memcached, Google Cloud Storage, and Azure Blob Storage. · github.com, 2 Oct 2026
Supported compilers
The README lists gcc, clang, MSVC, rustc, NVCC, and Wind River diab compiler. · github.com, 2 Oct 2026

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