--- title: "askimo vs ragtune" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/askimo-ai-askimo-vs-metawake-ragtune" tools: ["askimo-ai-askimo", "metawake-ragtune"] --- # askimo vs ragtune *GraphCanon updated Aug 13, 2026* ## Verdict Pick askimo when askimo is primarily Kotlin; ragtune is Go; pick ragtune when ragtune is primarily Go; askimo is Kotlin. [askimo](https://askimo.chat) reports 318 GitHub stars, 66 forks, and 19 open issues, last pushed Aug 13, 2026. [ragtune](https://github.com/metawake/ragtune) has 13 stars, 1 forks, and 0 open issues, last pushed Mar 25, 2026. Figures are from public GitHub metadata via [askimo's repository](https://github.com/askimo-ai/askimo) and [ragtune's repository](https://github.com/metawake/ragtune). | | [askimo](/tools/askimo-ai-askimo.md) | [ragtune](/tools/metawake-ragtune.md) | | --- | --- | --- | | Tagline | AI Client for chat, RAG, and agents with multi-provider model support. | Benchmarking tool for RAG retrieval, aiding in tuning and evaluating retrieval layers | | Stars | 318 | 13 | | Forks | 66 | 1 | | Open issues | 19 | 0 | | Language | Kotlin | Go | | Adopt for | - | Ragtune is a Go-based benchmarking tool for RAG retrieval systems that allows users to inspect, debug, benchmark, and tune the retrieval layer. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [askimo](/tools/askimo-ai-askimo.md) | [ragtune](/tools/metawake-ragtune.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 129d | | Open issues (now) | 19 | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/askimo-ai-askimo/trust.md) | [trust report](/tools/metawake-ragtune/trust.md) | ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## Decision facts: ragtune - **Adopt for:** Ragtune is a Go-based benchmarking tool for RAG retrieval systems that allows users to inspect, debug, benchmark, and tune the retrieval layer. ## Choose when ### Choose askimo if… - askimo is primarily Kotlin; ragtune is Go. - License: askimo is AGPL-3.0, ragtune 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 ragtune if… - ragtune is primarily Go; askimo is Kotlin. - License: ragtune is MIT, askimo is AGPL-3.0. - Tags unique to ragtune: benchmarking, embeddings, metrics, retrieval-augmented-generation. - Also covers Evaluation & Observability. - For organizations using multiple vector search engines like Chroma or Pinecone because Ragtune supports them directly. ## 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 ragtune - If your project relies on languages other than Go, as Ragtune might not integrate smoothly without additional effort. - When the primary focus of retrieval layer tuning lies outside supported vector search engines like Chroma or Qdrant and no customization can be applied via the tool. ## Common questions ### What is the difference between askimo and ragtune? askimo: AI Client for chat, RAG, and agents with multi-provider model support.. ragtune: Benchmarking tool for RAG retrieval, aiding in tuning and evaluating retrieval layers. See the comparison table for live GitHub stats and shared categories. ### When should I choose askimo over ragtune? Choose askimo over ragtune when askimo is primarily Kotlin; ragtune is Go; License: askimo is AGPL-3.0, ragtune 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 ragtune over askimo? Choose ragtune over askimo when ragtune is primarily Go; askimo is Kotlin; License: ragtune is MIT, askimo is AGPL-3.0; Tags unique to ragtune: benchmarking, embeddings, metrics, retrieval-augmented-generation; Also covers Evaluation & Observability; For organizations using multiple vector search engines like Chroma or Pinecone because Ragtune supports them directly. ### 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 ragtune? If your project relies on languages other than Go, as Ragtune might not integrate smoothly without additional effort. When the primary focus of retrieval layer tuning lies outside supported vector search engines like Chroma or Qdrant and no customization can be applied via the tool. ### Is askimo or ragtune more popular on GitHub? askimo has more GitHub stars (318 vs 13). Stars measure visibility, not whether either tool fits your constraints. ### Are askimo and ragtune open source? Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, ragtune: MIT). ### Where can I find alternatives to askimo or ragtune? GraphCanon lists graph-backed alternatives at [askimo alternatives](/tools/askimo-ai-askimo/alternatives) and [ragtune alternatives](/tools/metawake-ragtune/alternatives) ([askimo markdown twin](/tools/askimo-ai-askimo/alternatives.md), [ragtune markdown twin](/tools/metawake-ragtune/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-metawake-ragtune.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, askimo or ragtune? askimo: Very active. ragtune: 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 ragtune? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [askimo trust report](/tools/askimo-ai-askimo/trust); [ragtune trust report](/tools/metawake-ragtune/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/_