Comparison
agentset vs search_with_lepton
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.
Markdown twin · agentset alternatives · search_with_lepton alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentset | search_with_lepton |
|---|---|---|
| Maintenance | Very active (6d since push) As of 4w · github_public_v1 | Archived (248d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- search_with_lepton
- Building a quick conversation-based search demo with Lepton AI.
Stars
- agentset
- 2.0k
- search_with_lepton
- 8.1k
Forks
- agentset
- 183
- search_with_lepton
- 998
Open issues
- agentset
- 13
- search_with_lepton
- 44
Language
- agentset
- TypeScript
- search_with_lepton
- TypeScript
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.
- search_with_lepton
- **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
- agentset
- -
- search_with_lepton
- -
Runtime
- agentset
- -
- search_with_lepton
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- search_with_lepton
- Apache-2.0 license, providing freedom to use, modify and distribute the software while requiring preservation of copyright notices.
Last pushed
- agentset
- Jul 16, 2026
- search_with_lepton
- Dec 2, 2025
Categories
- agentset
- AI Agents, Data & Retrieval
- search_with_lepton
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- agentset
- Very active (96%)
- search_with_lepton
- Archived (8%)
Days since push
- agentset
- 6d
- search_with_lepton
- 248d
Archived on GitHub
- agentset
- No
- search_with_lepton
- Yes
Open issues (now)
- agentset
- 13
- search_with_lepton
- 44
Full report
- agentset
- Trust report
- search_with_lepton
- Trust report
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.
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 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 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.
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 Jul 22, 2026
- GitHub forks (agentset-ai/agentset) · observed Jul 22, 2026
- Last push (agentset-ai/agentset) · observed Jul 16, 2026
- License file (MIT) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (leptonai/search_with_lepton) · observed Aug 7, 2026
- GitHub forks (leptonai/search_with_lepton) · observed Aug 7, 2026
- Last push (leptonai/search_with_lepton) · observed Dec 2, 2025
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentset 2.0k · search_with_lepton 8.1k (synced Jul 22, 2026).
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 2,035). 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 and search_with_lepton alternatives (agentset markdown twin, search_with_lepton 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 search_with_lepton?
- agentset: Very active. 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; search_with_lepton trust report.