Skip to content

Github · GitHub Repository Radar

nghyane launchdock

Use Claude and GPT through one local gateway with OpenAI-compatible and Claude-native APIs.

Stars

329

Forks

90

Watchers: 329

Language

Go

License: MIT License

Repository Radar Score

34 / 100

Growth

7d
+0
30d
+0
%
0.0%

Not enough metric snapshots yet to chart growth for this repository.

Score breakdown

  • popularity 46
  • growth 0
  • activity 35
  • freshness 100
  • community 28

Need help integrating this stack?

Our team builds with modern open-source stacks. Tell us what you are shipping.

Get a quote →

launchdock

CI Release GitHub stars

Use Claude and GPT across AI coding tools through one local gateway, with both OpenAI-compatible and Claude-native API surfaces.

launchdock gives you one local endpoint for tools like OpenCode, Codex, Claude Code, Droid, and Pi.

Why people use it:

  • use OpenCode or Codex with the accounts you already have
  • use Claude through either OpenAI-compatible chat clients or the native Claude Messages API
  • avoid managing separate credentials and configs everywhere
  • log in once and reuse managed auth across multiple tools
  • push managed auth to a personal server when needed

Install

curl -fsSL https://raw.githubusercontent.com/nghyane/launchdock/main/install.sh | sh
launchdock version

Optional:

curl -fsSL https://raw.githubusercontent.com/nghyane/launchdock/main/install.sh | env LAUNCHDOCK_VERSION=v0.1.1 sh
curl -fsSL https://raw.githubusercontent.com/nghyane/launchdock/main/install.sh | env INSTALL_DIR=/usr/local/bin sh

Quickstart

launchdock auth login claude
launchdock auth login openai

launchdock auth list
launchdock start
launchdock launch opencode --config

launchdock launch <tool> checks credentials, starts the local runtime if needed, writes tool config when required, and launches the tool.

Check the local API:

curl http://localhost:8090/v1/models

Authentication

Supported auth sources:

  • Claude: launchdock auth login claude
  • OpenAI/Codex: launchdock auth login openai

Why this auth model is useful:

  • sign in once through the native Claude/OpenAI login flow
  • reuse the same managed auth across local tools and personal servers
  • avoid copying API keys into multiple configs or shell environments
  • keep the workflow aligned with Claude Code and Codex account-based usage

Personal server

launchdock auth push user@server.example.com
ssh user@server.example.com '$HOME/.local/bin/launchdock start'

auth push installs or updates launchdock on the remote host automatically, then imports your managed credentials.

Supported tools

  • claude-code
  • codex
  • opencode
  • droid
  • pi

Models

launchdock exposes both Claude and GPT models from one local provider.

Claude thinking aliases are also available:

  • claude-sonnet-4-6-thinking
  • claude-opus-4-6-thinking

These aliases automatically enable Claude thinking for OpenAI-compatible clients that do not serialize Claude thinking config reliably.

Compatibility

launchdock is tested with the official OpenAI Python SDK and works across both Claude and GPT models.

Validated locally with claude-opus-4-6 and gpt-5.4 for:

  • basic chat
  • multi-turn conversations
  • streaming
  • tool calls
  • tool result round-trips

Supported API surfaces:

  • /v1/chat/completions
  • /v1/responses
  • /v1/messages

Support matrix

Endpoint GPT Claude Semantics Tools
/v1/chat/completions OpenAI-compatible chat
/v1/responses Native OpenAI Responses semantics
/v1/messages Native Claude Messages format

Endpoint semantics

/v1/chat/completions

  • standard OpenAI-compatible chat chunks
  • reasoning/thinking is exposed through compatibility fields such as choices[].delta.reasoning_content
  • best default for broad client compatibility across GPT and Claude

/v1/responses

  • native OpenAI Responses semantics
  • reasoning is exposed through native events/items such as:
    • response.reasoning_summary_text.delta
    • reasoning output items
    • function_call items/events
  • preferred endpoint for the richest reasoning lifecycle

/v1/messages

  • native Claude Messages request/response format
  • useful for Claude-native clients or integrations that expect Anthropic-style payloads
  • uses the same managed Claude account auth as the OpenAI-compatible surfaces

Tool naming

Claude OAuth internally prefixes tool names with mcp_ when talking to Anthropic.

launchdock strips that prefix before returning tool/function names to clients, so clients still see the original tool name (for example get_weather).

OpenCode note

launchdock launch opencode --config merges into an existing OpenCode config instead of overwriting unrelated keys.

For Claude thinking in OpenCode, prefer the model aliases:

  • claude-sonnet-4-6-thinking
  • claude-opus-4-6-thinking

These are more reliable than trying to rely on client-side Claude thinking config through a custom OpenAI-compatible provider.

Commands

launchdock auth
launchdock launch [tool]
launchdock start | ps | logs | restart | stop
launchdock update

Technical note

launchdock runs on http://localhost:8090.

State lives in:

  • ~/.launchdock/launchdock.pid
  • ~/.launchdock/launchdock.log
  • ~/.config/launchdock/config.json

Legacy llm-mux code is preserved on legacy/llm-mux.

Created: Dec 9, 2025

Last push: May 1, 2026

Default branch: main

Latest release: v0.1.2

Languages

Share of the codebase by language, based on repository metadata from the host.

  • Go 94.9%
  • HTML 4.1%
  • Shell 1.0%

Repository Radar analysis

Deterministic insights derived from public metadata and our observations — not personal testing or reviews.

Why this repository is interesting

  • Listed in our discovery index with public GitHub metadata for analysis.

Who should use it

  • Developers working primarily with Go
  • Teams exploring AI tooling, agents, or ML infrastructure

Potential use cases

  • Reference or evaluate Go open-source approaches in this domain
  • Prototype AI/agent workflows or study reference architectures

Strengths

  • README present in our index
  • Declared license: MIT License

Limitations / considerations

  • Insights are derived from public metadata and our observations — not a substitute for code review

What to watch

  • Radar Score is modest — dig into activity and docs before committing

Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.

Ready to ship something that compounds?

Share your roadmap. We’ll come back with scope options, timeline ranges, and who from Shriram IT Ventures should be in the room.

Popular with product teams