---
title: "open-multi-agent vs dmux"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/open-multi-agent-open-multi-agent-vs-standardagents-dmux"
tools: ["open-multi-agent-open-multi-agent", "standardagents-dmux"]
---

# open-multi-agent vs dmux

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick open-multi-agent if provides TypeScript-based orchestration for dynamic AI workflows with support for multiple language models including open platforms; pick dmux if dmux is a dev agent multiplexer for managing git worktrees and coding agents within a development environment that leverages AI agentic workflow to enhance Git operations.

[open-multi-agent](https://open-multi-agent.com/go/repo) reports 6.9k GitHub stars, 2.4k forks, and 4 open issues, last pushed Sep 18, 2026. [dmux](https://dmux.ai) has 1.8k stars, 138 forks, and 39 open issues, last pushed Aug 16, 2026. Figures are from public GitHub metadata via [open-multi-agent's repository](https://github.com/open-multi-agent/open-multi-agent) and [dmux's repository](https://github.com/standardagents/dmux).

| | [open-multi-agent](/tools/open-multi-agent-open-multi-agent.md) | [dmux](/tools/standardagents-dmux.md) |
| --- | --- | --- |
| Tagline | Orchestrates AI agents with dynamic workflows via runtime task planning. | A dev agent multiplexer for git worktrees and coding agents |
| Stars | 6,943 | 1,775 |
| Forks | 2,433 | 138 |
| Open issues | 4 | 39 |
| Language | TypeScript | HTML |
| Adopt for | Provides TypeScript-based orchestration for dynamic AI workflows with support for multiple language models including open platforms. | dmux is a dev agent multiplexer for managing git worktrees and coding agents within a development environment that leverages AI agentic workflow to enhance Git operations. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT License | MIT |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [open-multi-agent](/tools/open-multi-agent-open-multi-agent.md) | [dmux](/tools/standardagents-dmux.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Steady (60%) |
| Days since push | 1d | 33d |
| Open issues (now) | 4 | 39 |
| Stars delta | +175 (30d) | +42 (30d) |
| Open issues delta | -7 (30d) | +10 (30d) |
| Full report | [trust report](/tools/open-multi-agent-open-multi-agent/trust.md) | [trust report](/tools/standardagents-dmux/trust.md) |

## Decision facts: open-multi-agent

- **Hosting:** self hosted
- **Adopt for:** Provides TypeScript-based orchestration for dynamic AI workflows with support for multiple language models including open platforms.
- **License detail:** MIT License

## Decision facts: dmux

- **Requirements:** Does not require Docker for operation.
- **Adopt for:** dmux is a dev agent multiplexer for managing git worktrees and coding agents within a development environment that leverages AI agentic workflow to enhance Git operations.
- **License detail:** MIT

## Choose when

### Choose open-multi-agent if…

- open-multi-agent is primarily TypeScript; dmux is HTML.
- Tags unique to open-multi-agent: agent-framework, agent-orchestration, agentic-ai, anthropic.
- - When you need to dynamically plan task DAGs (Directed Acyclic Graphs) at runtime and execute them across different LLMs, such as Claude or ChatGPT.

### Choose dmux if…

- dmux is primarily HTML; open-multi-agent is TypeScript.
- Requirements: Does not require Docker for operation..
- Tags unique to dmux: agentic-workflow, cli, coding-agents, coordinator.
- When you need to coordinate multiple AI-based coding assistants in your development process, dmux can streamline how these tools interact with your projects through its agentic workflow feature.

## When NOT to use open-multi-agent

- - Avoid using open-multi-agent if you are looking for a ready-to-use solution for simple scripts or single-model tasks where runtime planning is not required.
- - Do not use this framework if your application strictly requires support for proprietary or custom language models not listed as supported options.

## When NOT to use dmux

- If you are looking for a tool that directly enhances the functionality of individual AI coding assistants rather than orchestrating multiple assistants, dmux may not meet your needs.
- In scenarios where developers prefer manual management of their workflows without relying on an automated agentic multiplexer like dmux.

## Common questions

### What is the difference between open-multi-agent and dmux?

open-multi-agent: Orchestrates AI agents with dynamic workflows via runtime task planning.. dmux: A dev agent multiplexer for git worktrees and coding agents. See the comparison table for live GitHub stats and shared categories.

### When should I choose open-multi-agent over dmux?

Choose open-multi-agent over dmux when open-multi-agent is primarily TypeScript; dmux is HTML; Tags unique to open-multi-agent: agent-framework, agent-orchestration, agentic-ai, anthropic; - When you need to dynamically plan task DAGs (Directed Acyclic Graphs) at runtime and execute them across different LLMs, such as Claude or ChatGPT.

### When should I choose dmux over open-multi-agent?

Choose dmux over open-multi-agent when dmux is primarily HTML; open-multi-agent is TypeScript; Requirements: Does not require Docker for operation.; Tags unique to dmux: agentic-workflow, cli, coding-agents, coordinator; When you need to coordinate multiple AI-based coding assistants in your development process, dmux can streamline how these tools interact with your projects through its agentic workflow feature.

### When should I avoid open-multi-agent?

- Avoid using open-multi-agent if you are looking for a ready-to-use solution for simple scripts or single-model tasks where runtime planning is not required. - Do not use this framework if your application strictly requires support for proprietary or custom language models not listed as supported options.

### When should I avoid dmux?

If you are looking for a tool that directly enhances the functionality of individual AI coding assistants rather than orchestrating multiple assistants, dmux may not meet your needs. In scenarios where developers prefer manual management of their workflows without relying on an automated agentic multiplexer like dmux.

### Is open-multi-agent or dmux more popular on GitHub?

open-multi-agent has more GitHub stars (6,943 vs 1,775). Stars measure visibility, not whether either tool fits your constraints.

### Are open-multi-agent and dmux open source?

Yes - both are open-source projects on GitHub (open-multi-agent: MIT, dmux: MIT).

### Where can I find alternatives to open-multi-agent or dmux?

GraphCanon lists graph-backed alternatives at [open-multi-agent alternatives](/tools/open-multi-agent-open-multi-agent/alternatives) and [dmux alternatives](/tools/standardagents-dmux/alternatives) ([open-multi-agent markdown twin](/tools/open-multi-agent-open-multi-agent/alternatives.md), [dmux markdown twin](/tools/standardagents-dmux/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/open-multi-agent-open-multi-agent-vs-standardagents-dmux.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, open-multi-agent or dmux?

open-multi-agent: Very active. dmux: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for open-multi-agent and dmux?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [open-multi-agent trust report](/tools/open-multi-agent-open-multi-agent/trust); [dmux trust report](/tools/standardagents-dmux/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=open-multi-agent-open-multi-agent`](/api/graphcanon/graph?tool=open-multi-agent-open-multi-agent)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
