Comparison
askimo vs ragtune
Verdict
Pick askimo when askimo is primarily Kotlin; ragtune is Go; pick ragtune when ragtune is primarily Go; askimo is Kotlin.
Markdown twin · askimo alternatives · ragtune alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | askimo | ragtune |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Slowing (129d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- askimo
- 318
- ragtune
- 13
Forks
- askimo
- 66
- ragtune
- 1
Open issues
- askimo
- 19
- ragtune
- 0
Language
- askimo
- Kotlin
- ragtune
- Go
Adopt for
- askimo
- -
- ragtune
- Ragtune is a Go-based benchmarking tool for RAG retrieval systems that allows users to inspect, debug, benchmark, and tune the retrieval layer.
Persona
- askimo
- -
- ragtune
- -
Runtime
- askimo
- -
- ragtune
- -
License
- askimo
- AGPL-3.0
- ragtune
- MIT
Last pushed
- askimo
- Aug 13, 2026
- ragtune
- Mar 25, 2026
Categories
- askimo
- AI Agents, Data & Retrieval
- ragtune
- Data & Retrieval, Evaluation & Observability
Trust and health
Maintenance
- askimo
- Very active (96%)
- ragtune
- Slowing (36%)
Days since push
- askimo
- 0d
- ragtune
- 129d
Open issues (now)
- askimo
- 19
- ragtune
- 0
Owner type
- askimo
- Organization
- ragtune
- User
OSV dependency advisories
- askimo
- No lockfile (source not queried)
- ragtune
- Published findings
Full report
- askimo
- Trust report
- ragtune
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (askimo-ai/askimo) · observed Aug 13, 2026
- GitHub forks (askimo-ai/askimo) · observed Aug 13, 2026
- Last push (askimo-ai/askimo) · observed Aug 13, 2026
- License file (AGPL-3.0) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (metawake/ragtune) · observed Aug 2, 2026
- GitHub forks (metawake/ragtune) · observed Aug 2, 2026
- Last push (metawake/ragtune) · observed Mar 25, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: askimo 318 · ragtune 13 (synced Aug 13, 2026).
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 and ragtune alternatives (askimo markdown twin, ragtune markdown twin), 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 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; ragtune trust report.