Discover firmware bloat before it blocks your release.
Continuous tracking of memory footprint on every commit, so you stop discovering size issues only when the linker breaks.
Continuous tracking of memory footprint on every commit, so you stop discovering size issues only when the linker breaks.
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Whether you're shipping IoT devices, automotive systems, or consumer electronics, MemBrowse helps you track memory, enforce budgets, and ship confidently.
Track code size per commit, spot regressions early, and fix issues before they block release.
Collaborate on memory optimization with shared dashboards and commit history for every target.
Monitor memory budgets across projects, set thresholds, and keep releases on schedule.
Compare memory footprints across boards and builds to ensure every configuration fits.
Without tracking memory footprint trends over time, it's impossible to identify gradual binary growth patterns.
Code bloat sneaks into your codebase without warning, discovered too late in the development cycle.
Memory budgets are set during planning, but there's no easy way to verify if your implementation actually matches the intended allocation.
Hours spent manually analyzing ELF files and memory maps to understand where memory is being used.
Generate detailed memory reports from ELF binaries and linker scripts using our GitHub Action or CLI tool, supporting any architecture.
Code size trends, memory layouts, and visual binary comparisons make complex data easy to understand.
Configure your pull requests to fail when changes exceed memory budgets, alerting developers early and preventing late stage issues.
Integrates with any CI/CD platform easily. Native support for GitHub Actions and CLI support for other platforms.
Add MemBrowse to your CI/CD pipeline - works with GitHub Actions, GitLab CI, Jenkins, and any CI system.
Your CI builds the firmware and generates a memory report using the open source MemBrowse CLI from the membrowse-action repository.
Memory reports are sent to MemBrowse and fail the CI job if usage exceeds your defined budgets.
Explore your memory data in interactive dashboards, compare any two builds, and track changes over time.
MemBrowse works with any architecture that produces ELF binaries and memory maps. We support ARM, RISC-V, x86, and more. Popular toolchains like GCC, Clang, IAR, and Keil are all compatible.
We store only memory analysis results, never your source code or binaries. Your ELF files are analyzed in your CI environment; only JSON reports containing symbol names, addresses, and sizes are uploaded. All data is encrypted in transit (TLS 1.3) and at rest, with row-level security ensuring you can only access your own projects. For maximum control, enterprise on-premises deployment is available where your data never leaves your infrastructure.
Yes! Enterprise customers can deploy the entire MemBrowse platform on their own infrastructure for complete data control. The on-premises deployment includes the web dashboard, API, and database, all running within your network. Request a demo to discuss enterprise deployment options.
Integration takes minutes, not hours. Add a few lines to your CI configuration, run our open source tool after your build, and you're done. Check out our documentation for step-by-step instructions.
GitHub Actions and GitLab CI are natively supported with ready-to-use workflows. For other CI platforms (Jenkins, CircleCI, Travis CI, Azure DevOps), you can use the MemBrowse CLI directly. It works with any system that can execute shell commands.
The Starter tier is completely free and includes unlimited usage for Open Source projects, 1 user on private repositories, unlimited memory reports, and priority support. See our pricing page for paid tier details.


