--- title: "askimo vs deep-chat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/askimo-ai-askimo-vs-ovidijusparsiunas-deep-chat" tools: ["askimo-ai-askimo", "ovidijusparsiunas-deep-chat"] --- # askimo vs deep-chat *GraphCanon updated Sep 20, 2026* ## Verdict Pick askimo when askimo is primarily Kotlin; deep-chat is TypeScript; pick deep-chat when deep-chat is primarily TypeScript; askimo is Kotlin. [askimo](https://askimo.chat) reports 485 GitHub stars, 100 forks, and 15 open issues, last pushed Sep 20, 2026. [deep-chat](https://deepchat.dev) has 3.7k stars, 455 forks, and 39 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [askimo's repository](https://github.com/askimo-ai/askimo) and [deep-chat's repository](https://github.com/OvidijusParsiunas/deep-chat). | | [askimo](/tools/askimo-ai-askimo.md) | [deep-chat](/tools/ovidijusparsiunas-deep-chat.md) | | --- | --- | --- | | Tagline | AI Client for chat, RAG, and agents with multi-provider model support. | Fully customizable AI chatbot component for website integration | | Stars | 485 | 3,716 | | Forks | 100 | 455 | | Open issues | 15 | 39 | | Language | Kotlin | TypeScript | | Adopt for | - | deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace and OpenAI. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [askimo](/tools/askimo-ai-askimo.md) | [deep-chat](/tools/ovidijusparsiunas-deep-chat.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 15 | 39 | | Stars delta | +167 (30d) | +17 (30d) | | Open issues delta | -4 (30d) | +3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/askimo-ai-askimo/trust.md) | [trust report](/tools/ovidijusparsiunas-deep-chat/trust.md) | ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## Decision facts: deep-chat - **Adopt for:** deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace and OpenAI. ## Choose when ### Choose askimo if… - askimo is primarily Kotlin; deep-chat is TypeScript. - License: askimo is AGPL-3.0, deep-chat is MIT. - Pricing: The pricing information on the Askimo repository is not specified.. - Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client. - Also covers Data & Retrieval. - Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI. ### Choose deep-chat if… - deep-chat is primarily TypeScript; askimo is Kotlin. - License: deep-chat is MIT, askimo is AGPL-3.0. - Tags unique to deep-chat: ai-chatbot, chatgpt, claude, gemini. - Use deep-chat if you are working on a project where front end flexibility is important, given its support for React, Vue, Svelte, and more. ## 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 deep-chat - Avoid using deep-chat if project requirements dictate exclusive use of a non-TypeScript backend setup or frontend framework not supported by deep-chat. - Do not use deep-chat when your team lacks TypeScript experience and cannot dedicate time to learn it, as this may slow down development. ## Common questions ### What is the difference between askimo and deep-chat? askimo: AI Client for chat, RAG, and agents with multi-provider model support.. deep-chat: Fully customizable AI chatbot component for website integration. See the comparison table for live GitHub stats and shared categories. ### When should I choose askimo over deep-chat? Choose askimo over deep-chat when askimo is primarily Kotlin; deep-chat is TypeScript; License: askimo is AGPL-3.0, deep-chat is MIT; Pricing: The pricing information on the Askimo repository is not specified.; Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client; Also covers Data & Retrieval; 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 deep-chat over askimo? Choose deep-chat over askimo when deep-chat is primarily TypeScript; askimo is Kotlin; License: deep-chat is MIT, askimo is AGPL-3.0; Tags unique to deep-chat: ai-chatbot, chatgpt, claude, gemini; Use deep-chat if you are working on a project where front end flexibility is important, given its support for React, Vue, Svelte, and more. ### 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 deep-chat? Avoid using deep-chat if project requirements dictate exclusive use of a non-TypeScript backend setup or frontend framework not supported by deep-chat. Do not use deep-chat when your team lacks TypeScript experience and cannot dedicate time to learn it, as this may slow down development. ### Is askimo or deep-chat more popular on GitHub? deep-chat has more GitHub stars (3,716 vs 485). Stars measure visibility, not whether either tool fits your constraints. ### Are askimo and deep-chat open source? Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, deep-chat: MIT). ### Where can I find alternatives to askimo or deep-chat? GraphCanon lists graph-backed alternatives at [askimo alternatives](/tools/askimo-ai-askimo/alternatives) and [deep-chat alternatives](/tools/ovidijusparsiunas-deep-chat/alternatives) ([askimo markdown twin](/tools/askimo-ai-askimo/alternatives.md), [deep-chat markdown twin](/tools/ovidijusparsiunas-deep-chat/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-ovidijusparsiunas-deep-chat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, askimo or deep-chat? askimo: Very active. deep-chat: Very 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 deep-chat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [askimo trust report](/tools/askimo-ai-askimo/trust); [deep-chat trust report](/tools/ovidijusparsiunas-deep-chat/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/_