Practical overview
When it fits
Use AgentHub when you need a self-hosted control plane for coordinating multiple agent roles and monitoring their work, or when you want to try the local platform with its mock provider before configuring model credentials.
Who it is for
- Developers and teams building multi-agent workflows that need an orchestrator to divide goals among specialized roles.
- Operators who want to run agent coordination on their own hardware and inspect activity through logs and streaming.
- Contributors working with a documented Go, Rust, Python and Next.js stack.
Documented uses
- Decompose a goal and dispatch work among agent roles.
- Have review and verification agents check outputs, with implementation and deployment roles available in the workflow.
- Observe agent activity through streaming and logs.
- Install or diagnose a local CLI setup.
Requirements & limits
The repository is public and licensed under Apache-2.0. The README documents a local Docker platform path and published CLI binaries for Windows x64; it does not claim CLI binary support for other platforms.
- The README's local full-platform path uses Docker and starts PostgreSQL alongside the backend and frontend.
- A built-in mock provider supports an offline trial without an API key; using a model provider requires environment-configured credentials or an OpenAI-compatible endpoint.
- The documented CLI release binaries are for Windows x64 only.
- The stack separates roles across Go services, Rust performance-sensitive components, Python offline and asynchronous tasks, and a Next.js frontend.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Start the full platform locally with Docker
Launch the local platform using the documented mock provider, without configuring a model key.
Before you start
- Git
- Docker
- A local environment able to run the repository's start.bat script
Steps
Clone https://github.com/EVEDensity/AgentHub.git.
Change into the AgentHub directory.
Run start.bat to start the local platform.
Expected outcome
The README says PostgreSQL starts through Docker, the backend starts and the frontend opens; its built-in mock provider supports an offline trial without an API key.
Guide limitations
- The instructions do not identify start.bat as supported on every operating system.
- Using a model provider instead of the mock provider requires configuring credentials or an OpenAI-compatible endpoint.
Install and check the local CLI on Windows x64
Install the published Windows x64 CLI and verify that the command is available.
Before you start
- Windows x64
- PowerShell
- Internet access to the GitHub Releases installer
Steps
Run the README's PowerShell installer command: irm https://github.com/EVEDensity/AgentHub/releases/latest/download/install.ps1 | iex.
Open a new terminal.
Run agenthub --help.
Expected outcome
The documented check displays CLI help after installation.
Guide limitations
- The README identifies Windows x64 as the only platform with published CLI binaries and does not claim support for other platforms.
Compare options for Agent orchestration
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.
| Project | Documented purpose | Platform | Access and requirements |
|---|---|---|---|
| Agenthub | Decompose a goal and dispatch work among agent roles. | CLI, Docker, Self-hosted, Server | The repository is public and licensed under Apache-2.0. The README documents a local Docker platform path and published CLI binaries for Windows x64; it does not claim CLI binary support for other platforms. |
| Goclaw | Route agent requests to different LLM providers through a shared gateway. | Docker, Linux, Self-hosted, Server |
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 14 October 2026
- Original website title
- EVEDensity/AgentHub · Official homepage title · retained in its source language