--- title: "entaoai vs askimo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/akshata29-entaoai-vs-askimo-ai-askimo" tools: ["akshata29-entaoai", "askimo-ai-askimo"] --- # entaoai vs askimo *GraphCanon updated Sep 20, 2026* ## Verdict Pick entaoai when entaoai is primarily TypeScript; askimo is Kotlin; pick askimo when askimo is primarily Kotlin; entaoai is TypeScript. [entaoai](https://github.com/akshata29/entaoai) reports 866 GitHub stars, 245 forks, and 12 open issues, last pushed Jan 2, 2025. [askimo](https://askimo.chat) has 485 stars, 100 forks, and 15 open issues, last pushed Sep 20, 2026. Figures are from public GitHub metadata via [entaoai's repository](https://github.com/akshata29/entaoai) and [askimo's repository](https://github.com/askimo-ai/askimo). | | [entaoai](/tools/akshata29-entaoai.md) | [askimo](/tools/askimo-ai-askimo.md) | | --- | --- | --- | | Tagline | Accelerator for uploading enterprise data and using OpenAI services to interact with it. | AI Client for chat, RAG, and agents with multi-provider model support. | | Stars | 866 | 485 | | Forks | 245 | 100 | | Open issues | 12 | 15 | | Language | TypeScript | Kotlin | | Adopt for | For firms seeking to quickly integrate their enterprise data with OpenAI capabilities without extensive setup. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | AGPL-3.0 | | Categories | Data & Retrieval, LLM Frameworks | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [entaoai](/tools/akshata29-entaoai.md) | [askimo](/tools/askimo-ai-askimo.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 625d | 0d | | Open issues (now) | 12 | 15 | | Stars delta | 0 (30d) | +167 (30d) | | Open issues delta | 0 (30d) | -4 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/akshata29-entaoai/trust.md) | [trust report](/tools/askimo-ai-askimo/trust.md) | ## Decision facts: entaoai - **Adopt for:** For firms seeking to quickly integrate their enterprise data with OpenAI capabilities without extensive setup. ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## Choose when ### Choose entaoai if… - entaoai is primarily TypeScript; askimo is Kotlin. - License: entaoai is MIT, askimo is AGPL-3.0. - Tags unique to entaoai: azure, azure-functions, azure-openai, cognitive-search. - Also covers LLM Frameworks. - When you need an accelerator to rapidly upload and interact with your own enterprise data via chat. ### Choose askimo if… - askimo is primarily Kotlin; entaoai is TypeScript. - License: askimo is AGPL-3.0, entaoai 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 NOT to use entaoai - Avoid if you prefer not to incorporate OpenAI's services for interacting with your enterprise data. - Not recommended for those looking to use a competitor like Pinecone that focuses on vector-store based queries rather than chat interaction. ## 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. ## Common questions ### What is the difference between entaoai and askimo? entaoai: Accelerator for uploading enterprise data and using OpenAI services to interact with it.. askimo: AI Client for chat, RAG, and agents with multi-provider model support.. See the comparison table for live GitHub stats and shared categories. ### When should I choose entaoai over askimo? Choose entaoai over askimo when entaoai is primarily TypeScript; askimo is Kotlin; License: entaoai is MIT, askimo is AGPL-3.0; Tags unique to entaoai: azure, azure-functions, azure-openai, cognitive-search; Also covers LLM Frameworks; When you need an accelerator to rapidly upload and interact with your own enterprise data via chat. ### When should I choose askimo over entaoai? Choose askimo over entaoai when askimo is primarily Kotlin; entaoai is TypeScript; License: askimo is AGPL-3.0, entaoai 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 avoid entaoai? Avoid if you prefer not to incorporate OpenAI's services for interacting with your enterprise data. Not recommended for those looking to use a competitor like Pinecone that focuses on vector-store based queries rather than chat interaction. ### 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. ### Is entaoai or askimo more popular on GitHub? entaoai has more GitHub stars (866 vs 485). Stars measure visibility, not whether either tool fits your constraints. ### Are entaoai and askimo open source? Yes - both are open-source projects on GitHub (entaoai: MIT, askimo: AGPL-3.0). ### Where can I find alternatives to entaoai or askimo? GraphCanon lists graph-backed alternatives at [entaoai alternatives](/tools/akshata29-entaoai/alternatives) and [askimo alternatives](/tools/askimo-ai-askimo/alternatives) ([entaoai markdown twin](/tools/akshata29-entaoai/alternatives.md), [askimo markdown twin](/tools/askimo-ai-askimo/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/akshata29-entaoai-vs-askimo-ai-askimo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, entaoai or askimo? entaoai: Dormant. askimo: 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 entaoai and askimo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [entaoai trust report](/tools/akshata29-entaoai/trust); [askimo trust report](/tools/askimo-ai-askimo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=akshata29-entaoai`](/api/graphcanon/graph?tool=akshata29-entaoai) - 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/_