OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
Agent Frameworks

Autopus Adk

Autopus Adk is an open-source Go framework that coordinates multiple AI coding tools through shared engineering workflows and selectable orchestration modes. It connects tools such as Claude Code, Codex, Antigravity CLI, OpenCode and Oh My Pi with processes for planning, implementation, testing, code review, security audits, architecture-as-code, decision tracking and SPEC/EARS requirements handling.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Autopus Adk — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when a project needs repeatable engineering workflows across multiple AI coding tools, or when a single task benefits from structured planning, testing, review and security stages. A small task may instead fit a coding tool's native workflow, according to the repository guidance.

Who it is for

  • Developers coordinating several AI coding tools in one engineering workflow.
  • Teams standardizing planning, testing, review and security practices across repositories.
  • Builders creating configurable command-line harnesses for AI-assisted software delivery.

Documented uses

  • Coordinate planning, implementation, testing, review and security tasks across compatible coding agents.
  • Compare multiple model outputs using consensus, pipeline, debate or fastest-response modes.
  • Turn feature outcomes into requirements and coordinated engineering tasks.
  • Track architecture decisions and maintain shared engineering context.
  • Inspect platform wiring, skill overhead and agent-runtime information within documented diagnostic scopes.
Before you choose

Requirements & limits

The repository is public, open source and MIT licensed. It documents CLI installation paths for macOS/Linux and Windows and describes CLI, cloud, self-hosted and server platforms. The supplied material does not state pricing or account requirements.

  • Supported tool ecosystem: the documented integrations include Claude Code, Codex, Antigravity CLI, OpenCode and Oh My Pi.
  • Workflow depth: the harness covers planning through review and security rather than only model routing.
  • Orchestration choice: consensus, pipeline, debate and fastest-response modes support different coordination patterns.
  • Diagnostic scope: commands can inspect wiring, skills and agent lifecycle evidence, but checks do not guarantee production readiness.
  • Implementation basis: the project is written in Go and distributed under the MIT license.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up Autopus Adk and inspect platform wiring

Install the harness from the repository and use its documented diagnostic command to check installed platform wiring.

Before you start

  • A macOS, Linux, Windows CMD or PowerShell environment.
  • An existing compatible AI coding tool such as Claude Code, Codex, OpenCode, Antigravity CLI or Oh My Pi.
  • Access to the Autopus Adk GitHub repository.

Steps

  1. On macOS or Linux, run the repository's documented install script: curl -sSfL https://raw.githubusercontent.com/autopus-ai/autopus-adk/main/install.sh | sh.

  2. On Windows CMD or PowerShell, run the documented PowerShell installer command.

  3. After setup, run auto doctor in the terminal to check the installed platform wiring.

Expected outcome

The harness is installed using the repository's documented platform-specific installer, followed by a wiring check with auto doctor.

Guide limitations

  • The supplied material does not provide configuration syntax, execution results or a compatibility guarantee for a particular coding tool.
  • The diagnostic checks its configured scope and do not establish production readiness.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for AI coding assistance

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
Autopus AdkCoordinate planning, implementation, testing, review and security tasks across compatible coding agents.CLI, Cloud, Self-hosted, ServerThe repository is public, open source and MIT licensed. It documents CLI installation paths for macOS/Linux and Windows and describes CLI, cloud, self-hosted and server platforms. The supplied material does not state pricing or account requirements.
DextoDefine agents in YAML with a model, tools, storage and permissions.CLI
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
3 October 2026
Original website title
autopus-ai/autopus-adk · Official homepage title · retained in its source language
How we review sourcesSuggest a correction