Comparison
agentset vs whodb
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 whodb if whodb offers database exploration with AI integration for multiple databases including ClickHouse, Elasticsearch, MariaDB, MongoDB, MySQL, PostgreSQL, and SQLite3.
Markdown twin · agentset alternatives · whodb alternatives
GraphCanon updated Sep 20, 2026
8views this month
Trust & integrity
| Signal | agentset | whodb |
|---|---|---|
| Maintenance | Steady (65d since push) As of Sep 19, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · 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
- whodb
- Where data access meets operational intelligence
Stars
- agentset
- 2.1k
- whodb
- 5.0k
Forks
- agentset
- 187
- whodb
- 240
Open issues
- agentset
- 16
- whodb
- 32
Language
- agentset
- TypeScript
- whodb
- 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.
- whodb
- Whodb offers database exploration with AI integration for multiple databases including ClickHouse, Elasticsearch, MariaDB, MongoDB, MySQL, PostgreSQL, and SQLite3.
Persona
- agentset
- -
- whodb
- -
Runtime
- agentset
- -
- whodb
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- whodb
- Apache-2.0
Last pushed
- agentset
- Jul 16, 2026
- whodb
- Sep 20, 2026
Categories
- agentset
- AI Agents, Data & Retrieval
- whodb
- Data & Retrieval
Trust and health
Maintenance
- agentset
- Steady (60%)
- whodb
- Very active (96%)
Days since push
- agentset
- 65d
- whodb
- 0d
Open issues (now)
- agentset
- 16
- whodb
- 32
Stars delta
- agentset
- +57 (30d)
- whodb
- +26 (30d)
Open issues delta
- agentset
- +3 (30d)
- whodb
- +12 (30d)
Full report
- agentset
- Trust report
- whodb
- Trust report
Choose agentset if…
- agentset is primarily TypeScript; whodb is Go.
- License: agentset is MIT, whodb is Apache-2.0.
- 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.
- 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 whodb if…
- whodb is primarily Go; agentset is TypeScript.
- License: whodb is Apache-2.0, agentset is MIT.
- Tags unique to whodb: anthropic, clickhouse, data-analysis, data-visualization.
- Suitable for developers and small teams looking for a free production-grade tool
When NOT to use whodb
- Not recommended if your project is incompatible with Apache-2.0 licensing
- Avoid if you require per-seat pricing that Whodb does not offer across any plans
- Skipping competitors with more customized AI integrations beyond the support for tools like Ollama, Anthropic, or OpenAI
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 Sep 19, 2026
- GitHub forks (agentset-ai/agentset) · observed Sep 19, 2026
- Last push (agentset-ai/agentset) · observed Jul 16, 2026
- License file (MIT) · observed Sep 19, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (clidey/whodb) · observed Sep 20, 2026
- GitHub forks (clidey/whodb) · observed Sep 20, 2026
- Last push (clidey/whodb) · observed Sep 20, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentset 2.1k · whodb 5.0k (synced Sep 19, 2026).
Common questions
- What is the difference between agentset and whodb?
- agentset: The open-source RAG platform with built-in citations and support for deep research. whodb: Where data access meets operational intelligence. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentset over whodb?
- Choose agentset over whodb when agentset is primarily TypeScript; whodb is Go; License: agentset is MIT, whodb is Apache-2.0; 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; Also covers AI Agents; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
- When should I choose whodb over agentset?
- Choose whodb over agentset when whodb is primarily Go; agentset is TypeScript; License: whodb is Apache-2.0, agentset is MIT; Tags unique to whodb: anthropic, clickhouse, data-analysis, data-visualization; Suitable for developers and small teams looking for a free production-grade tool.
- 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 whodb?
- Not recommended if your project is incompatible with Apache-2.0 licensing Avoid if you require per-seat pricing that Whodb does not offer across any plans Skipping competitors with more customized AI integrations beyond the support for tools like Ollama, Anthropic, or OpenAI
- Is agentset or whodb more popular on GitHub?
- whodb has more GitHub stars (5,033 vs 2,092). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and whodb open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, whodb: Apache-2.0).
- Where can I find alternatives to agentset or whodb?
- GraphCanon lists graph-backed alternatives at agentset alternatives and whodb alternatives (agentset markdown twin, whodb 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 whodb?
- agentset: Steady. whodb: 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 whodb?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; whodb trust report.