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go-langserver

> 编程语言
Open source

Go language server to add Go support to editors and other tools that use the Language Server Protocol (LSP)

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Go language server to add Go support to editors and other tools that use the Language Server Protocol (LSP)

Go Language Server

Note: We have deprioritized work on this language server for use in editors in favor of Google's Go language server, gopls. It is in the best interests of the community to only have a single language server.

go-langserver is a Go language server that speaks Language Server Protocol. It supports editor features such as go-to-definition, hover, and find-references for Go projects.

Open in Sourcegraph

To build and install the standalone go-langserver run

go get -u github.com/sourcegraph/go-langserver

Support

Hover Jump to def Find references Workspace symbols VFS extension Isolated Parallel
Go ✔ ✔ ✔ ✔ ✔ ✔ ✔

InitializationOptions

If you are a client wanting to integrate go-langserver, you can use the following as initializationOptions in your initialize request to adjust the behaviour:

…

Debugging Go code intelligence

Additional configuration for Go code intelligence may be required in some cases:

  • Custom GOPATHs / Go monorepos
  • Vanity import paths

Custom GOPATHs / Go monorepos

By default, Sourcegraph assumes that Go code in a repository represents Go packages that would be placed under $GOPATH/src/.... That is, a Go repository is assumed to only contain Go packages.

For some repositories, such as Go monorepos, this may not be the case. These repositories typically have an entire (or multiple) $GOPA TH directories comitted to them, and the Go language server may not be able to provide code intelligence without being informed of thi s.

To inform Sourcegraph's Go language server that your repository contains an entire $GOPATH directory, you can use one of three option s:

  1. Auto-detection via .vscode/settings.json

    Sourcegraph will automatically detect a Visual Studio Code settings.json file with a GOPATH configuration. You may already have o ne of these files if you are using Visual Studio Code with the Go extension. The file .vscode/settings.json would look like:

    json
    {
      "go.gopath": "${workspaceRoot}/YOUR_GOPATH"
    }

    In this case, Sourcegraph would look for a folder named YOUR_GOPATH in the root of the repository.

  2. Auto-detection via .envrc

    Sourcegraph will also automatically detect a GOPATH from an .envrc file in the root of the repository. You may already have one of these if you are using direnv. For example a file such as:

    bash
    export GOPATH=${PWD}/third_party
    GOPATH_add code:code2
    GOPATH_add /absolute

    Would lead to Sourcegraph using a final GOPATH of third_party:code:code2. Note that we will ignore any /absolute path, and that we do not execute .envrc files but rather scan them for simple syntax such as the above. If you use a more complex .envrc file to build your GOPATH, this auto-detection may not work for you.

  3. Manual configuration via .sourcegraph/config.json

    If you add a .sourcegraph/config.json file in the root directory of your repository, Sourcegraph will use this configuration to determine the GOPATH instead of the auto-detection methods described above. An example configuration is:

    json
    {
      "go": {
        "GOPATH": ["/third_party", "code"]
      }
    }

    Sourcegraph will use a final GOPATH of third_party:code. That is, it will assume the third_party and code directories in the root of the repository are to be used as $GOPATH directories.

Vanity import paths

When the Go language server encounters a vanity import path, it must be able to locate the source code for it or else code intelligence will not work for code related to that dependency.

For example, consider a repository github.com/example/server which contains Go code with an import "example.io/pkg/logger" statement.

  1. If the source code for example.io/pkg/logger is located under a vendor directory, Sourcegraph will use that in the same manner that the go tool would.

  2. If the source code for example.io/pkg/logger is inside of the current repository at e.g. github.com/example/pkg/logger, Sourcegraph will look for it by scanning the repository for a canonical import path comment using some heuristics.

    • For example, if Sourcegraph finds a canonical import path comment such as package logger // import "example.io/pkg/logger" in the pkg/logger directory of the repository, Sourcegraph will assume that the code in the pkg/logger directory is what should be used when a import "example.io/pkg/logger" statement is seen.
    • Note that Sourcegraph only needs to find one such comment for the example.io domain in order to resolve all other vanity imports. That is, placing this comment in pkg/logger/logger.go is enough for Sourcegraph to know how to import any package under example.io/....
    • Sometimes the Go language server's heuristics are not able to locate a canonical import path comment in a repository, in which case you can specify the root import path of your repository directly by placing a .sourcegraph/config.json file in the root of your repository, e.g.:
    json
    {
      "go": {
        "RootImportPath": "example.io/pkg"
      }
    }

    Which would tell the Go language server to clone github.com/example/pkg into $GOPATH/src/example.io/pkg.

  3. Otherwise, Sourcegraph will attempt to fetch example.io/pkg/logger via the network using go get example.io/pkg/logger.

Profiling

If you run into performance issues while using the language server, it can be very helpful to attach a CPU or memory profile with the issue report. To capture one, first install Go, start go-langserver with the pprof flag (e.g. $GOPATH/bin/go-langserver -pprof :6060) and then:

Capture a heap (memory) profile:

bash
go tool pprof -svg $GOPATH/bin/go-langserver http://localhost:6060/debug/pprof/heap > heap.svg

Capture a CPU profile:

bash
go tool pprof -svg $GOPATH/bin/go-langserver http://localhost:6060/debug/pprof/profile > cpu.svg

Since these capture the active resource usage, it's best to run these commands while the issue is occurring (i.e. while memory or CPU is high).

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> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
Category编程语言
PricingOpen source

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