--- title: "Langchain-Chatchat vs LLocalSearch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chatchat-space-langchain-chatchat-vs-nilsherzig-llocalsearch" tools: ["chatchat-space-langchain-chatchat", "nilsherzig-llocalsearch"] --- # Langchain-Chatchat vs LLocalSearch *GraphCanon updated Sep 20, 2026* ## Verdict Pick Langchain-Chatchat if langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama; pick LLocalSearch if lLocalSearch is a locally-running search engine that leverages language model agents to find answers without needing external API keys. [Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) reports 39k GitHub stars, 6.3k forks, and 26 open issues, last pushed Nov 10, 2025. [LLocalSearch](https://github.com/nilsherzig/LLocalSearch) has 5.9k stars, 363 forks, and 58 open issues, last pushed Mar 24, 2026. Figures are from public GitHub metadata via [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat) and [LLocalSearch's repository](https://github.com/nilsherzig/LLocalSearch). | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [LLocalSearch](/tools/nilsherzig-llocalsearch.md) | | --- | --- | --- | | Tagline | Local knowledge-based LLM RAG and Agent app with Langchain | Locally running search aggregator using LLM Agents | | Stars | 38,644 | 5,945 | | Forks | 6,265 | 363 | | Open issues | 26 | 58 | | Language | Python | Go | | Adopt for | Langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama. | LLocalSearch is a locally-running search engine that leverages language model agents to find answers without needing external API keys. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | The tool is released under the Apache-2.0 license, allowing for extensive use including modification and redistribution with proper attribution. | | Categories | AI Agents, Data & Retrieval, LLM Frameworks | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [LLocalSearch](/tools/nilsherzig-llocalsearch.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Archived (8%) | | Days since push | 311d | 166d | | Archived on GitHub | No | Yes | | Open issues (now) | 26 | 58 | | Stars delta | +122 (30d) | -10 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | [trust report](/tools/nilsherzig-llocalsearch/trust.md) | ## Decision facts: Langchain-Chatchat - **Adopt for:** Langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama. ## Decision facts: LLocalSearch - **Pricing:** freemium - Free to use, but customization or complex setups may require additional expertise - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** LLocalSearch is a locally-running search engine that leverages language model agents to find answers without needing external API keys. - **License detail:** The tool is released under the Apache-2.0 license, allowing for extensive use including modification and redistribution with proper attribution. ## Choose when ### Choose Langchain-Chatchat if… - Langchain-Chatchat is primarily Python; LLocalSearch is Go. - Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt. - Also covers LLM Frameworks. - When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama. ### Choose LLocalSearch if… - LLocalSearch is primarily Go; Langchain-Chatchat is Python. - Pricing: Free to use, but customization or complex setups may require additional expertise. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to LLocalSearch: agent-based-search, docker-supported, language models, llm. - LLocalSearch ships Docker support for self-hosted deployment. - When you prefer local processing for privacy reasons ## When NOT to use Langchain-Chatchat - If you are looking for a cloud-based solution that does not require local deployment and management. - When your project specifically requires a different set of language models that are not supported by Langchain-Chatchat, such as models that are not listed in its documentation. - If your use case does not benefit from the integration of RAG and Agent functionalities, and you are looking for a simpler chatbot solution. - When you need a solution that is tightly integrated with a specific cloud provider's services, as Langchain-Chatchat is designed for local deployment and may not offer the same level of integration. ## When NOT to use LLocalSearch - In environments where cloud-based solutions are mandatory due to company policies - If real-time responses are required as LLocalSearch might have latency issues depending on local resources - For users who prefer simple installations without setting up a local Docker environment ## Common questions ### What is the difference between Langchain-Chatchat and LLocalSearch? Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app with Langchain. LLocalSearch: Locally running search aggregator using LLM Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose Langchain-Chatchat over LLocalSearch? Choose Langchain-Chatchat over LLocalSearch when Langchain-Chatchat is primarily Python; LLocalSearch is Go; Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt; Also covers LLM Frameworks; When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama. ### When should I choose LLocalSearch over Langchain-Chatchat? Choose LLocalSearch over Langchain-Chatchat when LLocalSearch is primarily Go; Langchain-Chatchat is Python; Pricing: Free to use, but customization or complex setups may require additional expertise; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to LLocalSearch: agent-based-search, docker-supported, language models, llm; LLocalSearch ships Docker support for self-hosted deployment; When you prefer local processing for privacy reasons. ### When should I avoid Langchain-Chatchat? If you are looking for a cloud-based solution that does not require local deployment and management. When your project specifically requires a different set of language models that are not supported by Langchain-Chatchat, such as models that are not listed in its documentation. If your use case does not benefit from the integration of RAG and Agent functionalities, and you are looking for a simpler chatbot solution. When you need a solution that is tightly integrated with a specific cloud provider's services, as Langchain-Chatchat is designed for local deployment and may not offer the same level of integration. ### When should I avoid LLocalSearch? In environments where cloud-based solutions are mandatory due to company policies If real-time responses are required as LLocalSearch might have latency issues depending on local resources For users who prefer simple installations without setting up a local Docker environment ### Is Langchain-Chatchat or LLocalSearch more popular on GitHub? Langchain-Chatchat has more GitHub stars (38,644 vs 5,945). Stars measure visibility, not whether either tool fits your constraints. ### Are Langchain-Chatchat and LLocalSearch open source? Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, LLocalSearch: Apache-2.0). ### Where can I find alternatives to Langchain-Chatchat or LLocalSearch? GraphCanon lists graph-backed alternatives at [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) and [LLocalSearch alternatives](/tools/nilsherzig-llocalsearch/alternatives) ([Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/alternatives.md), [LLocalSearch markdown twin](/tools/nilsherzig-llocalsearch/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-nilsherzig-llocalsearch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Langchain-Chatchat or LLocalSearch? Langchain-Chatchat: Slowing. LLocalSearch: Archived. 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 LLocalSearch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Langchain-Chatchat trust report](/tools/chatchat-space-langchain-chatchat/trust); [LLocalSearch trust report](/tools/nilsherzig-llocalsearch/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/_