---
title: "ha-mcp vs OpenHands"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/homeassistant-ai-ha-mcp-vs-openhands-openhands"
tools: ["homeassistant-ai-ha-mcp", "openhands-openhands"]
---

# ha-mcp vs OpenHands

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick ha-mcp when license: ha-mcp is MIT, OpenHands is Other; pick OpenHands when license: OpenHands is Other, ha-mcp is MIT.

[ha-mcp](https://github.com/homeassistant-ai/ha-mcp) reports 3.9k GitHub stars, 156 forks, and 16 open issues, last pushed Jul 10, 2026. [OpenHands](https://openhands.dev) has 80k stars, 10k forks, and 359 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [ha-mcp's repository](https://github.com/homeassistant-ai/ha-mcp) and [OpenHands's repository](https://github.com/OpenHands/OpenHands).

| | [ha-mcp](/tools/homeassistant-ai-ha-mcp.md) | [OpenHands](/tools/openhands-openhands.md) |
| --- | --- | --- |
| Tagline | The Unofficial and Awesome Home Assistant MCP Server | AI-Driven Development |
| Stars | 3,916 | 80,430 |
| Forks | 156 | 10,259 |
| Open issues | 16 | 359 |
| Language | Python | Python |
| Adopt for | - | OpenHands is an AI-driven development tool that integrates with multiple AI models like ChatGPT and Claude-AI to offer intelligent support for coding tasks in Python. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Other |
| Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks |

## Trust and health

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

| | [ha-mcp](/tools/homeassistant-ai-ha-mcp.md) | [OpenHands](/tools/openhands-openhands.md) |
| --- | --- | --- |
| Open issues (now) | 16 | 359 |
| Security scan | No MCP manifest | No lockfile |
| Full report | [trust report](/tools/homeassistant-ai-ha-mcp/trust.md) | [trust report](/tools/openhands-openhands/trust.md) |

## Decision facts: OpenHands

- **Adopt for:** OpenHands is an AI-driven development tool that integrates with multiple AI models like ChatGPT and Claude-AI to offer intelligent support for coding tasks in Python.

## Choose when

### Choose ha-mcp if…

- License: ha-mcp is MIT, OpenHands is Other.
- Tags unique to ha-mcp: ai, claude, hacs, home-assistant.
- Leaner open-issue backlog (16).

### Choose OpenHands if…

- License: OpenHands is Other, ha-mcp is MIT.
- Tags unique to OpenHands: agent, artificial-intelligence, chatgpt, claude-ai.
- - You are working predominantly on Python projects requiring integration of advanced AI functionalities such as those offered by ChatGPT or Claude-AI.

## When NOT to use ha-mcp

- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use OpenHands

- - If your project primarily uses technologies outside Python and you do not intend to integrate with ChatGPT or Claude-AI models specifically.
- - When the need for customization in AI model integration is limited, as OpenHands is more rigid in its current support for specific models like ChatGPT and Claude-AI.

## Common questions

### What is the difference between ha-mcp and OpenHands?

ha-mcp: The Unofficial and Awesome Home Assistant MCP Server. OpenHands: AI-Driven Development. See the comparison table for live GitHub stats and shared categories.

### When should I choose ha-mcp over OpenHands?

Choose ha-mcp over OpenHands when License: ha-mcp is MIT, OpenHands is Other; Tags unique to ha-mcp: ai, claude, hacs, home-assistant; Leaner open-issue backlog (16).

### When should I choose OpenHands over ha-mcp?

Choose OpenHands over ha-mcp when License: OpenHands is Other, ha-mcp is MIT; Tags unique to OpenHands: agent, artificial-intelligence, chatgpt, claude-ai; - You are working predominantly on Python projects requiring integration of advanced AI functionalities such as those offered by ChatGPT or Claude-AI.

### When should I avoid ha-mcp?

Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid OpenHands?

- If your project primarily uses technologies outside Python and you do not intend to integrate with ChatGPT or Claude-AI models specifically. - When the need for customization in AI model integration is limited, as OpenHands is more rigid in its current support for specific models like ChatGPT and Claude-AI.

### Is ha-mcp or OpenHands more popular on GitHub?

OpenHands has more GitHub stars (80,430 vs 3,916). Stars measure visibility, not whether either tool fits your constraints.

### Are ha-mcp and OpenHands open source?

Yes - both are open-source projects on GitHub (ha-mcp: MIT, OpenHands: Other).

### Where can I find alternatives to ha-mcp or OpenHands?

GraphCanon lists graph-backed alternatives at [ha-mcp alternatives](/tools/homeassistant-ai-ha-mcp/alternatives) and [OpenHands alternatives](/tools/openhands-openhands/alternatives) ([ha-mcp markdown twin](/tools/homeassistant-ai-ha-mcp/alternatives.md), [OpenHands markdown twin](/tools/openhands-openhands/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/homeassistant-ai-ha-mcp-vs-openhands-openhands.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, ha-mcp or OpenHands?

ha-mcp: Very active. OpenHands: Very active. 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 ha-mcp and OpenHands?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ha-mcp trust report](/tools/homeassistant-ai-ha-mcp/trust); [OpenHands trust report](/tools/openhands-openhands/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=homeassistant-ai-ha-mcp`](/api/graphcanon/graph?tool=homeassistant-ai-ha-mcp)
- 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/_
