--- title: "agentset vs askimo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-askimo-ai-askimo" tools: ["agentset-ai-agentset", "askimo-ai-askimo"] --- # agentset vs askimo *GraphCanon updated Aug 22, 2026* ## Verdict Pick agentset when agentset is primarily TypeScript; askimo is Kotlin; pick askimo when askimo is primarily Kotlin; agentset is TypeScript. [agentset](https://agentset.ai) reports 2.1k GitHub stars, 185 forks, and 14 open issues, last pushed Jul 16, 2026. [askimo](https://askimo.chat) has 318 stars, 66 forks, and 19 open issues, last pushed Aug 13, 2026. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [askimo's repository](https://github.com/askimo-ai/askimo). | | [agentset](/tools/agentset-ai-agentset.md) | [askimo](/tools/askimo-ai-askimo.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | AI Client for chat, RAG, and agents with multi-provider model support. | | Stars | 2,066 | 318 | | Forks | 185 | 66 | | Open issues | 14 | 19 | | Language | TypeScript | Kotlin | | Adopt for | AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. | - | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | AGPL-3.0 | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [askimo](/tools/askimo-ai-askimo.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 36d | 0d | | Open issues (now) | 14 | 19 | | Stars delta | +31 (30d) | Unknown | | Open issues delta | +1 (30d) | Unknown | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/askimo-ai-askimo/trust.md) | ## Decision facts: agentset - **Pricing:** freemium - Free to use as it is open-source. - **Requirements:** Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities. - **Adopt for:** AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. - **License detail:** AgentSet operates under the MIT License, allowing for broad usage and modification rights. ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## Choose when ### Choose agentset if… - agentset is primarily TypeScript; askimo is Kotlin. - License: agentset is MIT, askimo is AGPL-3.0. - Pricing: Free to use as it is open-source.. - Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.. - Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management. - - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### Choose askimo if… - askimo is primarily Kotlin; agentset is TypeScript. - License: askimo is AGPL-3.0, agentset 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 NOT to use agentset - - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities. ## 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 agentset and askimo? agentset: The open-source RAG platform with built-in citations and support for deep research. 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 agentset over askimo? Choose agentset over askimo when agentset is primarily TypeScript; askimo is Kotlin; License: agentset is MIT, askimo is AGPL-3.0; Pricing: Free to use as it is open-source.; Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.; Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### When should I choose askimo over agentset? Choose askimo over agentset when askimo is primarily Kotlin; agentset is TypeScript; License: askimo is AGPL-3.0, agentset 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 avoid agentset? - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities. ### 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 agentset or askimo more popular on GitHub? agentset has more GitHub stars (2,066 vs 318). Stars measure visibility, not whether either tool fits your constraints. ### Are agentset and askimo open source? Yes - both are open-source projects on GitHub (agentset: MIT, askimo: AGPL-3.0). ### Where can I find alternatives to agentset or askimo? GraphCanon lists graph-backed alternatives at [agentset alternatives](/tools/agentset-ai-agentset/alternatives) and [askimo alternatives](/tools/askimo-ai-askimo/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/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/agentset-ai-agentset-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, agentset or askimo? agentset: Steady. 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 agentset and askimo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentset trust report](/tools/agentset-ai-agentset/trust); [askimo trust report](/tools/askimo-ai-askimo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentset-ai-agentset`](/api/graphcanon/graph?tool=agentset-ai-agentset) - 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/_