--- title: "askimo vs local-deep-research" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/askimo-ai-askimo-vs-learningcircuit-local-deep-research" tools: ["askimo-ai-askimo", "learningcircuit-local-deep-research"] --- # askimo vs local-deep-research *GraphCanon updated Sep 20, 2026* ## Verdict Pick askimo when askimo is primarily Kotlin; local-deep-research is Python; pick local-deep-research when local-deep-research is primarily Python; askimo is Kotlin. [askimo](https://askimo.chat) reports 485 GitHub stars, 100 forks, and 15 open issues, last pushed Sep 20, 2026. [local-deep-research](https://github.com/LearningCircuit/local-deep-research) has 9.1k stars, 824 forks, and 887 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [askimo's repository](https://github.com/askimo-ai/askimo) and [local-deep-research's repository](https://github.com/LearningCircuit/local-deep-research). | | [askimo](/tools/askimo-ai-askimo.md) | [local-deep-research](/tools/learningcircuit-local-deep-research.md) | | --- | --- | --- | | Tagline | AI Client for chat, RAG, and agents with multi-provider model support. | Supports local and cloud LLMs with encrypted search from diverse sources. | | Stars | 485 | 9,109 | | Forks | 100 | 824 | | Open issues | 15 | 887 | | Language | Kotlin | Python | | Adopt for | - | For deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [askimo](/tools/askimo-ai-askimo.md) | [local-deep-research](/tools/learningcircuit-local-deep-research.md) | | --- | --- | --- | | Open issues (now) | 15 | 887 | | Stars delta | +167 (30d) | +209 (30d) | | Open issues delta | -4 (30d) | +535 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/askimo-ai-askimo/trust.md) | [trust report](/tools/learningcircuit-local-deep-research/trust.md) | ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## Decision facts: local-deep-research - **Adopt for:** For deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents. ## Choose when ### Choose askimo if… - askimo is primarily Kotlin; local-deep-research is Python. - License: askimo is AGPL-3.0, local-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. - 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 local-deep-research if… - local-deep-research is primarily Python; askimo is Kotlin. - License: local-deep-research is MIT, askimo is AGPL-3.0. - Tags unique to local-deep-research: academia, anthropic, arxiv, encryption. - Also covers LLM Frameworks. - local-deep-research ships Docker support for self-hosted deployment. - You need encryption for all data processing steps and want support for various sources like academic articles and personal files. ## 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 local-deep-research - If you require real-time collaboration features that are not supported by this tool's framework. - In scenarios where online connectivity is unreliable and external search engine support is considered critical. ## Common questions ### What is the difference between askimo and local-deep-research? askimo: AI Client for chat, RAG, and agents with multi-provider model support.. local-deep-research: Supports local and cloud LLMs with encrypted search from diverse sources.. See the comparison table for live GitHub stats and shared categories. ### When should I choose askimo over local-deep-research? Choose askimo over local-deep-research when askimo is primarily Kotlin; local-deep-research is Python; License: askimo is AGPL-3.0, local-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; 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 local-deep-research over askimo? Choose local-deep-research over askimo when local-deep-research is primarily Python; askimo is Kotlin; License: local-deep-research is MIT, askimo is AGPL-3.0; Tags unique to local-deep-research: academia, anthropic, arxiv, encryption; Also covers LLM Frameworks; local-deep-research ships Docker support for self-hosted deployment; You need encryption for all data processing steps and want support for various sources like academic articles and personal files. ### 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 local-deep-research? If you require real-time collaboration features that are not supported by this tool's framework. In scenarios where online connectivity is unreliable and external search engine support is considered critical. ### Is askimo or local-deep-research more popular on GitHub? local-deep-research has more GitHub stars (9,109 vs 485). Stars measure visibility, not whether either tool fits your constraints. ### Are askimo and local-deep-research open source? Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, local-deep-research: MIT). ### Where can I find alternatives to askimo or local-deep-research? GraphCanon lists graph-backed alternatives at [askimo alternatives](/tools/askimo-ai-askimo/alternatives) and [local-deep-research alternatives](/tools/learningcircuit-local-deep-research/alternatives) ([askimo markdown twin](/tools/askimo-ai-askimo/alternatives.md), [local-deep-research markdown twin](/tools/learningcircuit-local-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-learningcircuit-local-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 local-deep-research? askimo: Very active. local-deep-research: 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 local-deep-research? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [askimo trust report](/tools/askimo-ai-askimo/trust); [local-deep-research trust report](/tools/learningcircuit-local-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/_