This page is a practical stub with guidance for running Oppla on FreeBSD systems. FreeBSD is not a primary target for packaged releases for many desktop-first projects, so this document focuses on recommended approaches: using the ports collection or packages where possible, running in Linux compatibility layers, containers or VMs for runtimes that are Linux-first (local model runtimes), and building from source for contributors. Status
  • Target: Provide workable paths to run Oppla and its AI features on FreeBSD.
  • Current: FreeBSD support is community-driven. Expect more manual steps than Linux/macOS.
  • Recommended for most users: run Oppla inside a Linux VM/container on FreeBSD (bhyve, Docker via Linux emulation) for best compatibility with model runtimes and GPU acceleration.
Supported FreeBSD releases
  • Aim for FreeBSD 13.x and 14.x (release and stable branches). Adjust for your environment and kernel modules.
  • Verify availability of required packages and drivers for your target release.
Quick overview (recommended options)
  1. Easiest (recommended): Run Oppla in a Linux VM (bhyve / bhyveload + cloud image) or a container runtime that can run Linux images on FreeBSD.
  2. Intermediate: Build Oppla from source on FreeBSD when dependencies are available as packages/ports.
  3. Advanced: Try native run with the FreeBSD Linux compatibility layer for specific Linux-only runtimes — expect limitations and additional troubleshooting.
Prerequisites & tooling
  • pkg: FreeBSD package manager
  • ports collection (optional): for packages not available as prebuilt binaries
  • git: source control
  • build tools: cmake, make, gmake, gcc/clang, pkgconf
  • language runtimes: Python, Node.js, Rust toolchains — depending on project build system
  • virtualization/container: bhyve + cloud images, or Linux container support via sysutils/docker (limited), or use iocage/jails for isolation
  • GPU drivers (optional, advanced): vendor drivers for NVIDIA/AMD; additional setup often required
Install common developer tools Example (as root or using sudo): pkg update pkg install git cmake pkgconf python node rust npm gmake If a package is not available, use the ports collection: portsnap fetch extract cd /usr/ports/devel/<portname> make install clean Build-from-source (high-level) Note: exact build steps depend on Oppla repository build system (Electron/Node, Rust, or mixed). The following is a generic guide.
  1. Clone the repository: git clone https://github.com/oppla/oppla.git cd oppla
  2. Read the repository README for platform-specific notes. Install any prerequisites listed there.
  3. Install Node/npm dependencies (if applicable): npm install

​
or

yarn install
  1. Build native components:

​
Example for a generic build that uses a build script

npm run build
  1. Package / run: npm start

​
or run built binary from provided output directory

If the project uses Rust for native backends, ensure rustup and cargo are installed: pkg install rust rustup default stable cargo build —release Notes for package authors and contributors
  • Provide a Makefile or simple build script that documents FreeBSD-specific prerequisites.
  • Prefer portable build tools: CMake + Ninja or cross-platform Node build scripts.
  • Include a minimal list of pkg packages required to build on FreeBSD.
Local AI model runtimes & GPU support on FreeBSD
  • Many popular local model runtimes (Ollama, llama.cpp wrappers, LM Studio) are Linux-first.
  • FreeBSD has limited support for GPU toolchains (CUDA/ROCm) and fewer prebuilt inference runtimes.
  • Recommended approaches:
    • Run local model runtimes in a Linux VM (bhyve) or container to use vendor drivers and established runtimes.
    • For CPU-only evaluation, llama.cpp and other C/C++ based runtimes may be buildable on FreeBSD — expect to compile dependencies (BLAS, SSE/AVX flags) and tune build flags.
    • NVIDIA: FreeBSD supports the proprietary NVIDIA driver in some versions. GPU-accelerated inference on FreeBSD is an advanced path and may require Linux compatibility layers or running models in a Linux VM with GPU passthrough.
    • AMD ROCm: Generally not available on FreeBSD.
  • If your organization requires on-host local models, prefer a Linux VM for reliability.
Linux compatibility & containers
  • FreeBSD provides a Linux compatibility layer (linuxulator) for running some Linux binaries — but effectiveness varies by binary and kernel.
  • For more robust compatibility, use a Linux VM via bhyve or a small VM image (Ubuntu) to run Oppla or local model servers.
  • Docker support on FreeBSD is limited. Use VM-based workflows for containerized runtimes.
Security & sandboxing
  • Run unfamiliar builds in isolated environments (jails or VMs).
  • For local model runtimes and agent tools, prefer running them under a dedicated user or container and restrict filesystem/network access.
  • Use FreeBSD jails (iocage or ezjail) for lightweight isolation of tool runtimes when full VM is overkill.
Network & firewall considerations
  • Ensure outbound HTTPS is allowed for cloud AI providers if you choose cloud models.
  • For local-only or air-gapped setups, configure ai.privacy.mode to local_only in Oppla settings and host model runtimes in the private network or VM accessible only to authorized hosts.
Troubleshooting
  • Build issues:
    • Missing libraries: install corresponding -devel ports or packages.
    • Incorrect toolchain: ensure CFLAGS and linker flags are appropriate for FreeBSD (some projects expect glibc-specific behavior).
  • Runtime issues:
    • GUI issues: ensure a compatible X11/Wayland/desktop environment and runtime dependencies (GTK/Qt) are installed.
    • Missing binary compat: if a bundled Linux binary fails, prefer running in a Linux VM.
  • Local model connectivity:
    • Check that the local model server is reachable from the host (curl http://localhost:PORT/health).
    • For VMs, verify port forwarding and network interfaces (bhyve bridged networking or host-only with forwarded ports).
CI & packaging recommendations
  • Add a FreeBSD build job in CI to smoke-test compilation steps (ports or packages).
  • Provide a simple packaging recipe (pkg or ports) for easier installs by users.
  • When distributing release artifacts, provide checksums and signatures; document verification steps.
Developer & contribution checklist
  • Add a README section: FreeBSD notes, required pkg/packages, known limitations.
  • Provide scripts to install build deps via pkg or ports.
  • Maintain a minimal test that runs headless features (CLI) so FreeBSD CI can exercise core functionality.
  • Document recommended approach for local models (VM vs native) for contributors.
Related documentation
  • System Requirements: ../ide/general/system-requirements.mdx
  • Linux guide (for VM-based approach): ../ide/general/linux.mdx
  • AI Configuration & Privacy: ../ide/ai/configuration.mdx and ../ide/ai/privacy-and-security.mdx
  • Development guide: ../development.mdx
Next steps for docs team (suggested)
  • Add concrete build/test commands specific to this repo (once maintainers provide build steps).
  • Add example bhyve VM image or a small script to create a Linux VM preconfigured for Oppla and local models.
  • Track known-good package versions and document any third-party runtimes that are known to work on FreeBSD.
If you’d like, I can:
  • Draft a step-by-step FreeBSD port/PKG recipe based on the repository build system.
  • Produce a bhyve VM provisioning script (cloud-init or Packer) that sets up a Linux environment optimized for running Oppla and local models.
  • Add a small CI job example that runs basic smoke tests on FreeBSD in your CI provider.