Comparison
agentset vs ragtune
Verdict
Pick agentset if 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; pick ragtune if ragtune is a Go-based benchmarking tool for RAG retrieval systems that allows users to inspect, debug, benchmark, and tune the retrieval layer.
Markdown twin · agentset alternatives · ragtune alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | agentset | ragtune |
|---|---|---|
| Maintenance | Steady (36d since push) As of 2d · github_public_v1 | Slowing (129d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · 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
- agentset
- The open-source RAG platform with built-in citations and support for deep research
- ragtune
- Benchmarking tool for RAG retrieval, aiding in tuning and evaluating retrieval layers
Stars
- agentset
- 2.1k
- ragtune
- 13
Forks
- agentset
- 185
- ragtune
- 1
Open issues
- agentset
- 14
- ragtune
- 0
Language
- agentset
- TypeScript
- ragtune
- Go
Adopt for
- agentset
- 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.
- 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
- agentset
- -
- ragtune
- -
Runtime
- agentset
- -
- ragtune
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- ragtune
- MIT
Last pushed
- agentset
- Jul 16, 2026
- ragtune
- Mar 25, 2026
Categories
- agentset
- AI Agents, Data & Retrieval
- ragtune
- Data & Retrieval, Evaluation & Observability
Trust and health
Maintenance
- agentset
- Steady (60%)
- ragtune
- Slowing (36%)
Days since push
- agentset
- 36d
- ragtune
- 129d
Open issues (now)
- agentset
- 14
- ragtune
- 0
Stars delta
- agentset
- +31 (30d)
- ragtune
- Unknown
Open issues delta
- agentset
- +1 (30d)
- ragtune
- Unknown
Owner type
- agentset
- Organization
- ragtune
- User
OSV dependency advisories
- agentset
- No lockfile (source not queried)
- ragtune
- Published findings
Full report
- agentset
- Trust report
- ragtune
- Trust report
Choose agentset if…
- agentset is primarily TypeScript; ragtune is Go.
- 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, memory-management, rag.
- Also covers AI Agents.
- - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
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.
Choose ragtune if…
- ragtune is primarily Go; agentset is TypeScript.
- Tags unique to ragtune: benchmarking, metrics, retrieval-augmented-generation, vector-search.
- 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 (agentset-ai/agentset) · observed Aug 22, 2026
- GitHub forks (agentset-ai/agentset) · observed Aug 22, 2026
- Last push (agentset-ai/agentset) · observed Jul 16, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: agentset 2.1k · ragtune 13 (synced Aug 22, 2026).
Common questions
- What is the difference between agentset and ragtune?
- agentset: The open-source RAG platform with built-in citations and support for deep research. 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 agentset over ragtune?
- Choose agentset over ragtune when agentset is primarily TypeScript; ragtune is Go; 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, memory-management, rag; Also covers AI Agents; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
- When should I choose ragtune over agentset?
- Choose ragtune over agentset when ragtune is primarily Go; agentset is TypeScript; Tags unique to ragtune: benchmarking, metrics, retrieval-augmented-generation, vector-search; Also covers Evaluation & Observability; For organizations using multiple vector search engines like Chroma or Pinecone because Ragtune supports them directly.
- 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 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 agentset or ragtune more popular on GitHub?
- agentset has more GitHub stars (2,066 vs 13). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and ragtune open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, ragtune: MIT).
- Where can I find alternatives to agentset or ragtune?
- GraphCanon lists graph-backed alternatives at agentset alternatives and ragtune alternatives (agentset 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, agentset or ragtune?
- agentset: Steady. 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 agentset and ragtune?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; ragtune trust report.