---
title: "LibreChat vs parlor"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/danny-avila-librechat-vs-fikrikarim-parlor"
tools: ["danny-avila-librechat", "fikrikarim-parlor"]
---

# LibreChat vs parlor

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick LibreChat when libreChat is primarily TypeScript; parlor is HTML; pick parlor when parlor is primarily HTML; LibreChat is TypeScript.

[LibreChat](https://librechat.ai/) reports 41k GitHub stars, 8.3k forks, and 573 open issues, last pushed Jul 10, 2026. [parlor](https://github.com/fikrikarim/parlor) has 1.9k stars, 240 forks, and 7 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [LibreChat's repository](https://github.com/danny-avila/LibreChat) and [parlor's repository](https://github.com/fikrikarim/parlor).

| | [LibreChat](/tools/danny-avila-librechat.md) | [parlor](/tools/fikrikarim-parlor.md) |
| --- | --- | --- |
| Tagline | Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, me | On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro. |
| Stars | 40,571 | 1,894 |
| Forks | 8,331 | 240 |
| Open issues | 573 | 7 |
| Language | TypeScript | HTML |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | AI Agents, Computer Vision, LLM Frameworks | Computer Vision, LLM Frameworks, Speech & Audio |

## Trust and health

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

| | [LibreChat](/tools/danny-avila-librechat.md) | [parlor](/tools/fikrikarim-parlor.md) |
| --- | --- | --- |
| Open issues (now) | 573 | 7 |
| Security scan | No MCP manifest | No lockfile |
| Full report | [trust report](/tools/danny-avila-librechat/trust.md) | [trust report](/tools/fikrikarim-parlor/trust.md) |

## Choose when

### Choose LibreChat if…

- LibreChat is primarily TypeScript; parlor is HTML.
- License: LibreChat is MIT, parlor is Apache-2.0.
- Tags unique to LibreChat: ai, anthropic, artifacts, aws.
- Also covers AI Agents.

### Choose parlor if…

- parlor is primarily HTML; LibreChat is TypeScript.
- License: parlor is Apache-2.0, LibreChat is MIT.
- Tags unique to parlor: apple-silicon, gemma, kokoro, litert-lm.
- Also covers Speech & Audio.

## When NOT to use LibreChat

- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use parlor

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## Common questions

### What is the difference between LibreChat and parlor?

LibreChat: Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, me. parlor: On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro.. See the comparison table for live GitHub stats and shared categories.

### When should I choose LibreChat over parlor?

Choose LibreChat over parlor when LibreChat is primarily TypeScript; parlor is HTML; License: LibreChat is MIT, parlor is Apache-2.0; Tags unique to LibreChat: ai, anthropic, artifacts, aws; Also covers AI Agents.

### When should I choose parlor over LibreChat?

Choose parlor over LibreChat when parlor is primarily HTML; LibreChat is TypeScript; License: parlor is Apache-2.0, LibreChat is MIT; Tags unique to parlor: apple-silicon, gemma, kokoro, litert-lm; Also covers Speech & Audio.

### When should I avoid LibreChat?

AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid parlor?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### Is LibreChat or parlor more popular on GitHub?

LibreChat has more GitHub stars (40,571 vs 1,894). Stars measure visibility, not whether either tool fits your constraints.

### Are LibreChat and parlor open source?

Yes - both are open-source projects on GitHub (LibreChat: MIT, parlor: Apache-2.0).

### Where can I find alternatives to LibreChat or parlor?

GraphCanon lists graph-backed alternatives at [LibreChat alternatives](/tools/danny-avila-librechat/alternatives) and [parlor alternatives](/tools/fikrikarim-parlor/alternatives) ([LibreChat markdown twin](/tools/danny-avila-librechat/alternatives.md), [parlor markdown twin](/tools/fikrikarim-parlor/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/danny-avila-librechat-vs-fikrikarim-parlor.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, LibreChat or parlor?

LibreChat: Very active. parlor: 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 LibreChat and parlor?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LibreChat trust report](/tools/danny-avila-librechat/trust); [parlor trust report](/tools/fikrikarim-parlor/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=danny-avila-librechat`](/api/graphcanon/graph?tool=danny-avila-librechat)
- 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/_
