---
title: "Langchain-Chatchat vs openchat"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/chatchat-space-langchain-chatchat-vs-imoneoi-openchat"
tools: ["chatchat-space-langchain-chatchat", "imoneoi-openchat"]
---

# Langchain-Chatchat vs openchat

*GraphCanon updated Aug 17, 2026*

## Verdict

Pick Langchain-Chatchat if langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama; pick openchat if a Python library for training large language models with imperfect data using transformers.

[Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) reports 39k GitHub stars, 6.3k forks, and 25 open issues, last pushed Nov 10, 2025. [openchat](https://openchat.team) has 5.5k stars, 432 forks, and 137 open issues, last pushed Sep 13, 2024. Figures are from public GitHub metadata via [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat) and [openchat's repository](https://github.com/imoneoi/openchat).

| | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [openchat](/tools/imoneoi-openchat.md) |
| --- | --- | --- |
| Tagline | Local knowledge-based RAG and Agent app using Langchain and various LLMs | Advancing Open-source Language Models with Imperfect Data |
| Stars | 38,522 | 5,487 |
| Forks | 6,266 | 432 |
| Open issues | 25 | 137 |
| Language | Python | Python |
| Adopt for | Langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama. | A Python library for training large language models with imperfect data using transformers. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | AI Agents, Data & Retrieval, LLM Frameworks | LLM Frameworks, Model Training |

## Trust and health

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

| | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [openchat](/tools/imoneoi-openchat.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Dormant (18%) |
| Days since push | 270d | 703d |
| Open issues (now) | 25 | 137 |
| Stars delta | +254 (30d) | +2 (30d) |
| Open issues delta | +2 (30d) | +1 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | [trust report](/tools/imoneoi-openchat/trust.md) |

## Decision facts: Langchain-Chatchat

- **Requirements:** - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services.
- **Adopt for:** Langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama.
- **License detail:** Apache-2.0

## Decision facts: openchat

- **Adopt for:** A Python library for training large language models with imperfect data using transformers.

## Choose when

### Choose Langchain-Chatchat if…

- Requirements: - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services..
- Tags unique to Langchain-Chatchat: chatbot, chatglm, docker, langchain.
- Also covers AI Agents, Data & Retrieval.
- - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases.

### Choose openchat if…

- Tags unique to openchat: apache license 2.0, cuda, large language models, open-source.
- Also covers Model Training.
- You need to train models on datasets with noise or missing information

## When NOT to use Langchain-Chatchat

- - If your application requires real-time updates from the internet, as Langchain-Chatchat operates within a closed system without dynamic web retrieval capabilities.
- - In scenarios where deploying through Docker and managing multiple services via docker-compose might be too complex or not feasible for your operational setup.

## When NOT to use openchat

- If your dataset is clean and well-structured, reducing model inaccuracies
- Projects that cannot depend on Apache License 2.0 or install PyTorch with CUDA support

## Common questions

### What is the difference between Langchain-Chatchat and openchat?

Langchain-Chatchat: Local knowledge-based RAG and Agent app using Langchain and various LLMs. openchat: Advancing Open-source Language Models with Imperfect Data. See the comparison table for live GitHub stats and shared categories.

### When should I choose Langchain-Chatchat over openchat?

Choose Langchain-Chatchat over openchat when Requirements: - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services.; Tags unique to Langchain-Chatchat: chatbot, chatglm, docker, langchain; Also covers AI Agents, Data & Retrieval; - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases.

### When should I choose openchat over Langchain-Chatchat?

Choose openchat over Langchain-Chatchat when Tags unique to openchat: apache license 2.0, cuda, large language models, open-source; Also covers Model Training; You need to train models on datasets with noise or missing information.

### When should I avoid Langchain-Chatchat?

- If your application requires real-time updates from the internet, as Langchain-Chatchat operates within a closed system without dynamic web retrieval capabilities. - In scenarios where deploying through Docker and managing multiple services via docker-compose might be too complex or not feasible for your operational setup.

### When should I avoid openchat?

If your dataset is clean and well-structured, reducing model inaccuracies Projects that cannot depend on Apache License 2.0 or install PyTorch with CUDA support

### Is Langchain-Chatchat or openchat more popular on GitHub?

Langchain-Chatchat has more GitHub stars (38,522 vs 5,487). Stars measure visibility, not whether either tool fits your constraints.

### Are Langchain-Chatchat and openchat open source?

Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, openchat: Apache-2.0).

### Where can I find alternatives to Langchain-Chatchat or openchat?

GraphCanon lists graph-backed alternatives at [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) and [openchat alternatives](/tools/imoneoi-openchat/alternatives) ([Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/alternatives.md), [openchat markdown twin](/tools/imoneoi-openchat/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/chatchat-space-langchain-chatchat-vs-imoneoi-openchat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, Langchain-Chatchat or openchat?

Langchain-Chatchat: Slowing. openchat: Dormant. 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 Langchain-Chatchat and openchat?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Langchain-Chatchat trust report](/tools/chatchat-space-langchain-chatchat/trust); [openchat trust report](/tools/imoneoi-openchat/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat`](/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat)
- 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/_
