--- title: "agentset vs search_with_lepton" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-leptonai-search-with-lepton" tools: ["agentset-ai-agentset", "leptonai-search-with-lepton"] --- # agentset vs search_with_lepton *GraphCanon updated Aug 22, 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 search_with_lepton if **search_with_lepton** is a TypeScript-based conversational search demo integrating Lepton AI's LLM and offering flexible backend options like Bing, Google SearchAPI, Serper, or Programmable Search Engine. [agentset](https://agentset.ai) reports 2.1k GitHub stars, 185 forks, and 14 open issues, last pushed Jul 16, 2026. [search_with_lepton](https://search.lepton.run) has 8.1k stars, 998 forks, and 44 open issues, last pushed Dec 2, 2025. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [search_with_lepton's repository](https://github.com/leptonai/search_with_lepton). | | [agentset](/tools/agentset-ai-agentset.md) | [search_with_lepton](/tools/leptonai-search-with-lepton.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | Building a quick conversation-based search demo with Lepton AI. | | Stars | 2,066 | 8,081 | | Forks | 185 | 998 | | Open issues | 14 | 44 | | Language | TypeScript | TypeScript | | 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. | **search_with_lepton** is a TypeScript-based conversational search demo integrating Lepton AI's LLM and offering flexible backend options like Bing, Google SearchAPI, Serper, or Programmable Search Engine. | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | Apache-2.0 license, providing freedom to use, modify and distribute the software while requiring preservation of copyright notices. | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [search_with_lepton](/tools/leptonai-search-with-lepton.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Archived (8%) | | Days since push | 36d | 248d | | Archived on GitHub | No | Yes | | Open issues (now) | 14 | 44 | | Stars delta | +31 (30d) | Unknown | | Open issues delta | +1 (30d) | Unknown | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/leptonai-search-with-lepton/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: search_with_lepton - **Adopt for:** **search_with_lepton** is a TypeScript-based conversational search demo integrating Lepton AI's LLM and offering flexible backend options like Bing, Google SearchAPI, Serper, or Programmable Search Engine. - **License detail:** Apache-2.0 license, providing freedom to use, modify and distribute the software while requiring preservation of copyright notices. ## Choose when ### Choose agentset if… - License: agentset is MIT, search_with_lepton 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 search_with_lepton if… - License: search_with_lepton is Apache-2.0, agentset is MIT. - Tags unique to search_with_lepton: ai-applications, bing-api, conversational-search, google-search. - Also covers LLM Frameworks. - - When you need a quick prototype of a conversation-driven search engine leveraging Lepton AI. ## 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 search_with_lepton - - Avoid if your project strictly requires only native integration with other LLMs besides Lepton AI as this tool is tightly coupled with it. - - Not recommended if you aim to build a large-scale production system as the demo focuses on rapid development rather than high throughput or enterprise-level robustness. ## Common questions ### What is the difference between agentset and search_with_lepton? agentset: The open-source RAG platform with built-in citations and support for deep research. search_with_lepton: Building a quick conversation-based search demo with Lepton AI.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentset over search_with_lepton? Choose agentset over search_with_lepton when License: agentset is MIT, search_with_lepton 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 search_with_lepton over agentset? Choose search_with_lepton over agentset when License: search_with_lepton is Apache-2.0, agentset is MIT; Tags unique to search_with_lepton: ai-applications, bing-api, conversational-search, google-search; Also covers LLM Frameworks; - When you need a quick prototype of a conversation-driven search engine leveraging Lepton AI. ### 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 search_with_lepton? - Avoid if your project strictly requires only native integration with other LLMs besides Lepton AI as this tool is tightly coupled with it. - Not recommended if you aim to build a large-scale production system as the demo focuses on rapid development rather than high throughput or enterprise-level robustness. ### Is agentset or search_with_lepton more popular on GitHub? search_with_lepton has more GitHub stars (8,081 vs 2,066). Stars measure visibility, not whether either tool fits your constraints. ### Are agentset and search_with_lepton open source? Yes - both are open-source projects on GitHub (agentset: MIT, search_with_lepton: Apache-2.0). ### Where can I find alternatives to agentset or search_with_lepton? GraphCanon lists graph-backed alternatives at [agentset alternatives](/tools/agentset-ai-agentset/alternatives) and [search_with_lepton alternatives](/tools/leptonai-search-with-lepton/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [search_with_lepton markdown twin](/tools/leptonai-search-with-lepton/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-leptonai-search-with-lepton.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentset or search_with_lepton? agentset: Steady. search_with_lepton: Archived. 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 search_with_lepton? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentset trust report](/tools/agentset-ai-agentset/trust); [search_with_lepton trust report](/tools/leptonai-search-with-lepton/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/_