--- title: "askimo vs Langchain-Chatchat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/askimo-ai-askimo-vs-chatchat-space-langchain-chatchat" tools: ["askimo-ai-askimo", "chatchat-space-langchain-chatchat"] --- # askimo vs Langchain-Chatchat *GraphCanon updated Aug 13, 2026* ## Verdict Pick askimo when askimo is primarily Kotlin; Langchain-Chatchat is Python; pick Langchain-Chatchat when langchain-Chatchat is primarily Python; askimo is Kotlin. [askimo](https://askimo.chat) reports 318 GitHub stars, 66 forks, and 19 open issues, last pushed Aug 13, 2026. [Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) has 39k stars, 6.3k forks, and 25 open issues, last pushed Nov 10, 2025. Figures are from public GitHub metadata via [askimo's repository](https://github.com/askimo-ai/askimo) and [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat). | | [askimo](/tools/askimo-ai-askimo.md) | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | | --- | --- | --- | | Tagline | AI Client for chat, RAG, and agents with multi-provider model support. | Local knowledge-based RAG and Agent app using Langchain and various LLMs | | Stars | 318 | 38,522 | | Forks | 66 | 6,266 | | Open issues | 19 | 25 | | Language | Kotlin | 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. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [askimo](/tools/askimo-ai-askimo.md) | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 270d | | Open issues (now) | 19 | 25 | | Stars delta | Unknown | +254 (30d) | | Open issues delta | Unknown | +2 (30d) | | Full report | [trust report](/tools/askimo-ai-askimo/trust.md) | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## 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 ## Choose when ### Choose askimo if… - askimo is primarily Kotlin; Langchain-Chatchat is Python. - License: askimo is AGPL-3.0, Langchain-Chatchat is Apache-2.0. - Pricing: The pricing information on the Askimo repository is not specified.. - Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client. - Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI. ### Choose Langchain-Chatchat if… - Langchain-Chatchat is primarily Python; askimo is Kotlin. - License: Langchain-Chatchat is Apache-2.0, askimo is AGPL-3.0. - 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 LLM Frameworks. - - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases. ## When NOT to use askimo - Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments. - Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions. ## 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. ## Common questions ### What is the difference between askimo and Langchain-Chatchat? askimo: AI Client for chat, RAG, and agents with multi-provider model support.. Langchain-Chatchat: Local knowledge-based RAG and Agent app using Langchain and various LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose askimo over Langchain-Chatchat? Choose askimo over Langchain-Chatchat when askimo is primarily Kotlin; Langchain-Chatchat is Python; License: askimo is AGPL-3.0, Langchain-Chatchat is Apache-2.0; Pricing: The pricing information on the Askimo repository is not specified.; Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client; Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI. ### When should I choose Langchain-Chatchat over askimo? Choose Langchain-Chatchat over askimo when Langchain-Chatchat is primarily Python; askimo is Kotlin; License: Langchain-Chatchat is Apache-2.0, askimo is AGPL-3.0; 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 LLM Frameworks; - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases. ### When should I avoid askimo? Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments. Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions. ### 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. ### Is askimo or Langchain-Chatchat more popular on GitHub? Langchain-Chatchat has more GitHub stars (38,522 vs 318). Stars measure visibility, not whether either tool fits your constraints. ### Are askimo and Langchain-Chatchat open source? Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, Langchain-Chatchat: Apache-2.0). ### Where can I find alternatives to askimo or Langchain-Chatchat? GraphCanon lists graph-backed alternatives at [askimo alternatives](/tools/askimo-ai-askimo/alternatives) and [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) ([askimo markdown twin](/tools/askimo-ai-askimo/alternatives.md), [Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/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/askimo-ai-askimo-vs-chatchat-space-langchain-chatchat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, askimo or Langchain-Chatchat? askimo: Very active. Langchain-Chatchat: 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 askimo and Langchain-Chatchat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [askimo trust report](/tools/askimo-ai-askimo/trust); [Langchain-Chatchat trust report](/tools/chatchat-space-langchain-chatchat/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=askimo-ai-askimo`](/api/graphcanon/graph?tool=askimo-ai-askimo) - 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/_