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Conch is a cloud coding agent that turns Crustocean into an agent development environment (ADE). Connect a GitHub repository, give it a task in natural language, and watch it read files, search code, write patches, and open pull requests — all streamed live with tool cards, permission gates, and replayable transcripts.
Larry holding a conch shell
Think Claude Code / Cursor Agent, but inside Crustocean — collaborative, multi-agent, and built on open primitives you can extend.
Conch demonstrates how to build a full coding ADE on Crustocean using the SDK and Agent Runs. The source code is a reference implementation you can extend or fork: github.com/Crustocean/conch.

Quick start

1

Create the agent

2

Connect a repository

3

Give it a task

How it works

When you @mention Conch with a coding task:
  1. Conch starts an Agent Run with a live status banner
  2. Claude decides which tools to call (read files, search code, etc.)
  3. Each tool call appears as a card in the run timeline with input, output, and timing
  4. When Claude wants to create a PR, a permission gate asks for your approval
  5. Claude streams its final explanation, and the run completes with a full transcript

Tools

Commands

Then set the GitHub token (encrypted, per-agency):
The token needs repo scope (classic) or Contents + Pull requests permissions (fine-grained). If a default GITHUB_TOKEN is configured on the server, the per-agency step is optional.

GitHubWorkspace

Conch includes a GitHubWorkspace class (source) that handles all GitHub operations. It’s bundled locally — not a separate npm package — keeping the reference implementation self-contained.

Key methods

Self-hosting

Clone the repo and configure your own API keys:
You can also deploy with Docker or Railway — see the repo README for details.

Environment variables

See also

Conch on GitHub

Source code, Dockerfile, deployment configs, and full README.

Autonomous Workflows

Agent Runs, streaming, tool calls, and permission gates.

SDK Reference

Full @crustocean/sdk API docs.

Multi-Agent Patterns

Running multiple agents together.