---
title: "ChatTTS vs chatless"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/2noise-chattts-vs-kamjin3086-chatless"
tools: ["2noise-chattts", "kamjin3086-chatless"]
---

# ChatTTS vs chatless

*GraphCanon updated Sep 30, 2026*

## Verdict

Pick ChatTTS if chatTTS is a Python-based generative speech model for daily dialogue, supporting both Chinese and English languages. It offers a web interface and command-line inference capabilities; pick chatless if a simple and lightweight local AI chat client for offline use developed with Tauri and Next.js in TypeScript.

[ChatTTS](https://2noise.com) reports 40k GitHub stars, 4.3k forks, and 60 open issues, last pushed Apr 10, 2026. [chatless](https://kamjin3086.github.io/chatless) has 292 stars, 42 forks, and 7 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [ChatTTS's repository](https://github.com/2noise/ChatTTS) and [chatless's repository](https://github.com/kamjin3086/chatless).

| | [ChatTTS](/tools/2noise-chattts.md) | [chatless](/tools/kamjin3086-chatless.md) |
| --- | --- | --- |
| Tagline | A generative speech model for daily dialogue. | a simple practical lightweight local AI chat client |
| Stars | 39,850 | 292 |
| Forks | 4,260 | 42 |
| Open issues | 60 | 7 |
| Language | Python | TypeScript |
| Adopt for | ChatTTS is a Python-based generative speech model for daily dialogue, supporting both Chinese and English languages. It offers a web interface and command-line inference capabilities. | A simple and lightweight local AI chat client for offline use developed with Tauri and Next.js in TypeScript. |
| Persona | - | - |
| Runtime | - | - |
| License | AGPL-3.0 | MIT |
| Categories | LLM Frameworks, Speech & Audio | AI Agents, LLM Frameworks |

## Trust and health

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

| | [ChatTTS](/tools/2noise-chattts.md) | [chatless](/tools/kamjin3086-chatless.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Steady (60%) |
| Days since push | 160d | 72d |
| Open issues (now) | 60 | 7 |
| Stars delta | +82 (30d) | +6 (30d) |
| Open issues delta | 0 (30d) | +4 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/2noise-chattts/trust.md) | [trust report](/tools/kamjin3086-chatless/trust.md) |

## Decision facts: ChatTTS

- **Requirements:** Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations.
- **Adopt for:** ChatTTS is a Python-based generative speech model for daily dialogue, supporting both Chinese and English languages. It offers a web interface and command-line inference capabilities.
- **License detail:** AGPL-3.0

## Decision facts: chatless

- **Adopt for:** A simple and lightweight local AI chat client for offline use developed with Tauri and Next.js in TypeScript.

## Choose when

### Choose ChatTTS if…

- ChatTTS is primarily Python; chatless is TypeScript.
- License: ChatTTS is AGPL-3.0, chatless is MIT.
- Requirements: Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations..
- Tags unique to ChatTTS: agent, chat, chatgpt, chattts.
- Also covers Speech & Audio.
- When you need a tool that supports both Chinese and English for daily dialogue generation.

### Choose chatless if…

- chatless is primarily TypeScript; ChatTTS is Python.
- License: chatless is MIT, ChatTTS is AGPL-3.0.
- Tags unique to chatless: ai, chatbot, desktop-app, knowledge-base.
- Also covers AI Agents.
- When you need a privacy-focused, portable AI chat solution that operates entirely without internet connectivity.

## When NOT to use ChatTTS

- If you are working on a project that requires the use of TransformerEngine with NVIDIA GPU, as it is currently under development and cannot run properly.
- When you need fast text-to-speech generation, as the optional installation of FlashAttention-2 can slow down the generating speed.
- If you are not comfortable with a slow installation process, as noted in the repository documentation.

## When NOT to use chatless

- If your project requires advanced model training features directly within the application.
- In scenarios demanding real-time access to cloud-hosted AI services for dynamic content updates.

## Common questions

### What is the difference between ChatTTS and chatless?

ChatTTS: A generative speech model for daily dialogue.. chatless: a simple practical lightweight local AI chat client. See the comparison table for live GitHub stats and shared categories.

### When should I choose ChatTTS over chatless?

Choose ChatTTS over chatless when ChatTTS is primarily Python; chatless is TypeScript; License: ChatTTS is AGPL-3.0, chatless is MIT; Requirements: Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations.; Tags unique to ChatTTS: agent, chat, chatgpt, chattts; Also covers Speech & Audio; When you need a tool that supports both Chinese and English for daily dialogue generation.

### When should I choose chatless over ChatTTS?

Choose chatless over ChatTTS when chatless is primarily TypeScript; ChatTTS is Python; License: chatless is MIT, ChatTTS is AGPL-3.0; Tags unique to chatless: ai, chatbot, desktop-app, knowledge-base; Also covers AI Agents; When you need a privacy-focused, portable AI chat solution that operates entirely without internet connectivity.

### When should I avoid ChatTTS?

If you are working on a project that requires the use of TransformerEngine with NVIDIA GPU, as it is currently under development and cannot run properly. When you need fast text-to-speech generation, as the optional installation of FlashAttention-2 can slow down the generating speed. If you are not comfortable with a slow installation process, as noted in the repository documentation.

### When should I avoid chatless?

If your project requires advanced model training features directly within the application. In scenarios demanding real-time access to cloud-hosted AI services for dynamic content updates.

### Is ChatTTS or chatless more popular on GitHub?

ChatTTS has more GitHub stars (39,850 vs 292). Stars measure visibility, not whether either tool fits your constraints.

### Are ChatTTS and chatless open source?

Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, chatless: MIT).

### Where can I find alternatives to ChatTTS or chatless?

GraphCanon lists graph-backed alternatives at [ChatTTS alternatives](/tools/2noise-chattts/alternatives) and [chatless alternatives](/tools/kamjin3086-chatless/alternatives) ([ChatTTS markdown twin](/tools/2noise-chattts/alternatives.md), [chatless markdown twin](/tools/kamjin3086-chatless/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/2noise-chattts-vs-kamjin3086-chatless.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, ChatTTS or chatless?

ChatTTS: Slowing. chatless: 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 ChatTTS and chatless?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatTTS trust report](/tools/2noise-chattts/trust); [chatless trust report](/tools/kamjin3086-chatless/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=2noise-chattts`](/api/graphcanon/graph?tool=2noise-chattts)
- 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/_
