--- title: "agentset vs whodb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-clidey-whodb" tools: ["agentset-ai-agentset", "clidey-whodb"] --- # agentset vs whodb *GraphCanon updated Sep 20, 2026* ## 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. [agentset](https://agentset.ai) reports 2.1k GitHub stars, 187 forks, and 16 open issues, last pushed Jul 16, 2026. [whodb](https://whodb.com) has 5.0k stars, 240 forks, and 32 open issues, last pushed Sep 20, 2026. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [whodb's repository](https://github.com/clidey/whodb). | | [agentset](/tools/agentset-ai-agentset.md) | [whodb](/tools/clidey-whodb.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | Where data access meets operational intelligence | | Stars | 2,092 | 5,033 | | Forks | 187 | 240 | | Open issues | 16 | 32 | | Language | TypeScript | Go | | 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. | Whodb offers database exploration with AI integration for multiple databases including ClickHouse, Elasticsearch, MariaDB, MongoDB, MySQL, PostgreSQL, and SQLite3. | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [whodb](/tools/clidey-whodb.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 65d | 0d | | Open issues (now) | 16 | 32 | | Stars delta | +57 (30d) | +26 (30d) | | Open issues delta | +3 (30d) | +12 (30d) | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/clidey-whodb/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: whodb - **Adopt for:** Whodb offers database exploration with AI integration for multiple databases including ClickHouse, Elasticsearch, MariaDB, MongoDB, MySQL, PostgreSQL, and SQLite3. ## Choose when ### 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. ### 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 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 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 ## 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](/tools/agentset-ai-agentset/alternatives) and [whodb alternatives](/tools/clidey-whodb/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [whodb markdown twin](/tools/clidey-whodb/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-clidey-whodb.md) 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](/tools/agentset-ai-agentset/trust); [whodb trust report](/tools/clidey-whodb/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/_