--- title: "Langchain-Chatchat vs aichat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chatchat-space-langchain-chatchat-vs-sigoden-aichat" tools: ["chatchat-space-langchain-chatchat", "sigoden-aichat"] --- # Langchain-Chatchat vs aichat *GraphCanon updated Aug 18, 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 aichat if aichat. [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. [aichat](https://github.com/sigoden/aichat) has 10k stars, 731 forks, and 95 open issues, last pushed Feb 23, 2026. Figures are from public GitHub metadata via [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat) and [aichat's repository](https://github.com/sigoden/aichat). | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [aichat](/tools/sigoden-aichat.md) | | --- | --- | --- | | Tagline | Local knowledge-based RAG and Agent app using Langchain and various LLMs | All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents | | Stars | 38,522 | 10,365 | | Forks | 6,266 | 731 | | Open issues | 25 | 95 | | Language | Python | Rust | | Adopt for | Langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama. | aichat | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Data & Retrieval, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [aichat](/tools/sigoden-aichat.md) | | --- | --- | --- | | Days since push | 270d | 176d | | Open issues (now) | 25 | 95 | | Stars delta | +254 (30d) | +111 (30d) | | Open issues delta | +2 (30d) | +5 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | [trust report](/tools/sigoden-aichat/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: aichat - **Adopt for:** aichat ## Choose when ### Choose Langchain-Chatchat if… - Langchain-Chatchat is primarily Python; aichat is Rust. - 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 Data & Retrieval. - - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases. ### Choose aichat if… - aichat is primarily Rust; Langchain-Chatchat is Python. - Tags unique to aichat: ai-agents, cli, function-calling, llm. - You need a CLI tool that integrates seamlessly with various large language models such as OpenAI, Claude, Gemini, Ollama, Groq. ## 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 aichat - You are looking specifically for a GUI-based tool, as aichat focuses on CLI operations. - If your main need is a highly specialized function for which there's another tool optimized better than aichat's more general approach. - You require real-time collaboration features that go beyond simple chat and command processing; aichat may not support such complex collaborative functionalities. ## Common questions ### What is the difference between Langchain-Chatchat and aichat? Langchain-Chatchat: Local knowledge-based RAG and Agent app using Langchain and various LLMs. aichat: All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose Langchain-Chatchat over aichat? Choose Langchain-Chatchat over aichat when Langchain-Chatchat is primarily Python; aichat is Rust; 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 Data & Retrieval; - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases. ### When should I choose aichat over Langchain-Chatchat? Choose aichat over Langchain-Chatchat when aichat is primarily Rust; Langchain-Chatchat is Python; Tags unique to aichat: ai-agents, cli, function-calling, llm; You need a CLI tool that integrates seamlessly with various large language models such as OpenAI, Claude, Gemini, Ollama, Groq. ### 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 aichat? You are looking specifically for a GUI-based tool, as aichat focuses on CLI operations. If your main need is a highly specialized function for which there's another tool optimized better than aichat's more general approach. You require real-time collaboration features that go beyond simple chat and command processing; aichat may not support such complex collaborative functionalities. ### Is Langchain-Chatchat or aichat more popular on GitHub? Langchain-Chatchat has more GitHub stars (38,522 vs 10,365). Stars measure visibility, not whether either tool fits your constraints. ### Are Langchain-Chatchat and aichat open source? Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, aichat: Apache-2.0). ### Where can I find alternatives to Langchain-Chatchat or aichat? GraphCanon lists graph-backed alternatives at [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) and [aichat alternatives](/tools/sigoden-aichat/alternatives) ([Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/alternatives.md), [aichat markdown twin](/tools/sigoden-aichat/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-sigoden-aichat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Langchain-Chatchat or aichat? Langchain-Chatchat: Slowing. aichat: Slowing. 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 aichat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Langchain-Chatchat trust report](/tools/chatchat-space-langchain-chatchat/trust); [aichat trust report](/tools/sigoden-aichat/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/_