--- title: "askimo vs llm-app" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/askimo-ai-askimo-vs-pathwaycom-llm-app" tools: ["askimo-ai-askimo", "pathwaycom-llm-app"] --- # askimo vs llm-app *GraphCanon updated Jul 17, 2026* ## Verdict Pick askimo when askimo is primarily Kotlin; llm-app is Jupyter Notebook; pick llm-app when llm-app is primarily Jupyter Notebook; askimo is Kotlin. [askimo](https://askimo.chat) reports 210 GitHub stars, 38 forks, and 24 open issues, last pushed Jul 15, 2026. [llm-app](https://pathway.com/developers/templates/) has 59k stars, 1.4k forks, and 10 open issues, last pushed Jul 5, 2026. Figures are from public GitHub metadata via [askimo's repository](https://github.com/askimo-ai/askimo) and [llm-app's repository](https://github.com/pathwaycom/llm-app). | | [askimo](/tools/askimo-ai-askimo.md) | [llm-app](/tools/pathwaycom-llm-app.md) | | --- | --- | --- | | Tagline | AI Client for chat, RAG, and agents with multi-provider model support. | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. | | Stars | 210 | 59,026 | | Forks | 38 | 1,435 | | Open issues | 24 | 10 | | Language | Kotlin | Jupyter Notebook | | Adopt for | - | llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [askimo](/tools/askimo-ai-askimo.md) | [llm-app](/tools/pathwaycom-llm-app.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 11d | | Open issues (now) | 24 | 10 | | Full report | [trust report](/tools/askimo-ai-askimo/trust.md) | [trust report](/tools/pathwaycom-llm-app/trust.md) | **Typed relationship:** askimo _(alternative)_ llm-app Both repositories offer solutions for interacting with multiple LLM providers and building RAG applications, suggesting they solve similar problems but may approach it differently. ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## Decision facts: llm-app - **Requirements:** Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others. - **Adopt for:** llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz ## Choose when ### Choose askimo if… - askimo is primarily Kotlin; llm-app is Jupyter Notebook. - License: askimo is AGPL-3.0, llm-app is MIT. - Pricing: The pricing information on the Askimo repository is not specified.. - Both repositories offer solutions for interacting with multiple LLM providers and building RAG applications, suggesting they solve similar problems but may approach it differently. - Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client. - Also covers AI Agents. - Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI. ### Choose llm-app if… - llm-app is primarily Jupyter Notebook; askimo is Kotlin. - License: llm-app is MIT, askimo is AGPL-3.0. - Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.. - Both repositories offer solutions for interacting with multiple LLM providers and building RAG applications, suggesting they solve similar problems but may approach it differently. - Tags unique to llm-app: chatbot, hugging-face, retrieval-augmented-generation, vector-database. - Also covers LLM Frameworks, Vector Databases. - - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs. ## 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 llm-app - - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app. ## Common questions ### What is the difference between askimo and llm-app? askimo: AI Client for chat, RAG, and agents with multi-provider model support.. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. See the comparison table for live GitHub stats and shared categories. ### When should I choose askimo over llm-app? Choose askimo over llm-app when askimo is primarily Kotlin; llm-app is Jupyter Notebook; License: askimo is AGPL-3.0, llm-app is MIT; Pricing: The pricing information on the Askimo repository is not specified.; Both repositories offer solutions for interacting with multiple LLM providers and building RAG applications, suggesting they solve similar problems but may approach it differently; Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client; Also covers AI Agents; 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 llm-app over askimo? Choose llm-app over askimo when llm-app is primarily Jupyter Notebook; askimo is Kotlin; License: llm-app is MIT, askimo is AGPL-3.0; Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.; Both repositories offer solutions for interacting with multiple LLM providers and building RAG applications, suggesting they solve similar problems but may approach it differently; Tags unique to llm-app: chatbot, hugging-face, retrieval-augmented-generation, vector-database; Also covers LLM Frameworks, Vector Databases; - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs. ### 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 llm-app? - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app. ### Is askimo or llm-app more popular on GitHub? llm-app has more GitHub stars (59,026 vs 210). Stars measure visibility, not whether either tool fits your constraints. ### Are askimo and llm-app open source? Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, llm-app: MIT). ### Where can I find alternatives to askimo or llm-app? GraphCanon lists graph-backed alternatives at [askimo alternatives](/tools/askimo-ai-askimo/alternatives) and [llm-app alternatives](/tools/pathwaycom-llm-app/alternatives) ([askimo markdown twin](/tools/askimo-ai-askimo/alternatives.md), [llm-app markdown twin](/tools/pathwaycom-llm-app/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-pathwaycom-llm-app.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, askimo or llm-app? askimo: Very active. llm-app: 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 askimo and llm-app? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [askimo trust report](/tools/askimo-ai-askimo/trust); [llm-app trust report](/tools/pathwaycom-llm-app/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/_