--- title: "askimo vs deep-research" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/askimo-ai-askimo-vs-dzhng-deep-research" tools: ["askimo-ai-askimo", "dzhng-deep-research"] --- # askimo vs deep-research *GraphCanon updated Aug 19, 2026* ## Verdict Pick askimo when askimo is primarily Kotlin; deep-research is TypeScript; pick deep-research when deep-research is primarily TypeScript; askimo is Kotlin. [askimo](https://askimo.chat) reports 318 GitHub stars, 66 forks, and 19 open issues, last pushed Aug 13, 2026. [deep-research](https://github.com/dzhng/deep-research) has 20k stars, 2.0k forks, and 93 open issues, last pushed Apr 11, 2026. Figures are from public GitHub metadata via [askimo's repository](https://github.com/askimo-ai/askimo) and [deep-research's repository](https://github.com/dzhng/deep-research). | | [askimo](/tools/askimo-ai-askimo.md) | [deep-research](/tools/dzhng-deep-research.md) | | --- | --- | --- | | Tagline | AI Client for chat, RAG, and agents with multi-provider model support. | An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models. | | Stars | 318 | 19,571 | | Forks | 66 | 1,993 | | Open issues | 19 | 93 | | Language | Kotlin | TypeScript | | Adopt for | - | Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [askimo](/tools/askimo-ai-askimo.md) | [deep-research](/tools/dzhng-deep-research.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 129d | | Open issues (now) | 19 | 93 | | Stars delta | Unknown | +195 (30d) | | Open issues delta | Unknown | +3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/askimo-ai-askimo/trust.md) | [trust report](/tools/dzhng-deep-research/trust.md) | ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## Decision facts: deep-research - **Requirements:** Requires Docker - **Adopt for:** Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics. ## Choose when ### Choose askimo if… - askimo is primarily Kotlin; deep-research is TypeScript. - License: askimo is AGPL-3.0, deep-research 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. - Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI. ### Choose deep-research if… - deep-research is primarily TypeScript; askimo is Kotlin. - License: deep-research is MIT, askimo is AGPL-3.0. - Requirements: Requires Docker. - Tags unique to deep-research: agent, ai, gpt, o3-mini. - deep-research ships Docker support for self-hosted deployment. - When you need a tool that can refine its topic focus over time through repeated iterations. ## 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-research - When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment. - If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys. ## Common questions ### What is the difference between askimo and deep-research? askimo: AI Client for chat, RAG, and agents with multi-provider model support.. deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. See the comparison table for live GitHub stats and shared categories. ### When should I choose askimo over deep-research? Choose askimo over deep-research when askimo is primarily Kotlin; deep-research is TypeScript; License: askimo is AGPL-3.0, deep-research 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; 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-research over askimo? Choose deep-research over askimo when deep-research is primarily TypeScript; askimo is Kotlin; License: deep-research is MIT, askimo is AGPL-3.0; Requirements: Requires Docker; Tags unique to deep-research: agent, ai, gpt, o3-mini; deep-research ships Docker support for self-hosted deployment; When you need a tool that can refine its topic focus over time through repeated iterations. ### 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-research? When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment. If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys. ### Is askimo or deep-research more popular on GitHub? deep-research has more GitHub stars (19,571 vs 318). Stars measure visibility, not whether either tool fits your constraints. ### Are askimo and deep-research open source? Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, deep-research: MIT). ### Where can I find alternatives to askimo or deep-research? GraphCanon lists graph-backed alternatives at [askimo alternatives](/tools/askimo-ai-askimo/alternatives) and [deep-research alternatives](/tools/dzhng-deep-research/alternatives) ([askimo markdown twin](/tools/askimo-ai-askimo/alternatives.md), [deep-research markdown twin](/tools/dzhng-deep-research/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-dzhng-deep-research.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, askimo or deep-research? askimo: Very active. deep-research: 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 deep-research? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [askimo trust report](/tools/askimo-ai-askimo/trust); [deep-research trust report](/tools/dzhng-deep-research/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/_