Comparison
local-deep-research vs search_with_lepton
Verdict
Pick local-deep-research if for deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents; 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 · local-deep-research alternatives · search_with_lepton alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | local-deep-research | search_with_lepton |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Archived (248d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · 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
- local-deep-research
- Supports local and cloud LLMs with encrypted search from diverse sources.
- search_with_lepton
- Building a quick conversation-based search demo with Lepton AI.
Stars
- local-deep-research
- 8.9k
- search_with_lepton
- 8.1k
Forks
- local-deep-research
- 788
- search_with_lepton
- 998
Open issues
- local-deep-research
- 352
- search_with_lepton
- 44
Language
- local-deep-research
- Python
- search_with_lepton
- TypeScript
Adopt for
- local-deep-research
- For deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents.
- 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
- local-deep-research
- -
- search_with_lepton
- -
Runtime
- local-deep-research
- -
- search_with_lepton
- -
License
- local-deep-research
- MIT
- search_with_lepton
- Apache-2.0 license, providing freedom to use, modify and distribute the software while requiring preservation of copyright notices.
Last pushed
- local-deep-research
- Aug 12, 2026
- search_with_lepton
- Dec 2, 2025
Categories
- local-deep-research
- Data & Retrieval, LLM Frameworks
- search_with_lepton
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- local-deep-research
- Very active (96%)
- search_with_lepton
- Archived (8%)
Days since push
- local-deep-research
- 0d
- search_with_lepton
- 248d
Archived on GitHub
- local-deep-research
- No
- search_with_lepton
- Yes
Open issues (now)
- local-deep-research
- 352
- search_with_lepton
- 44
Owner type
- local-deep-research
- User
- search_with_lepton
- Organization
Full report
- local-deep-research
- Trust report
- search_with_lepton
- Trust report
Choose local-deep-research if…
- local-deep-research is primarily Python; search_with_lepton is TypeScript.
- License: local-deep-research is MIT, search_with_lepton is Apache-2.0.
- Tags unique to local-deep-research: academia, anthropic, arxiv, encryption.
- local-deep-research ships Docker support for self-hosted deployment.
- You need encryption for all data processing steps and want support for various sources like academic articles and personal files.
When NOT to use local-deep-research
- If you require real-time collaboration features that are not supported by this tool's framework.
- In scenarios where online connectivity is unreliable and external search engine support is considered critical.
Choose search_with_lepton if…
- search_with_lepton is primarily TypeScript; local-deep-research is Python.
- License: search_with_lepton is Apache-2.0, local-deep-research is MIT.
- Tags unique to search_with_lepton: ai-applications, bing-api, conversational-search, google-search.
- - 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 (LearningCircuit/local-deep-research) · observed Aug 12, 2026
- GitHub forks (LearningCircuit/local-deep-research) · observed Aug 12, 2026
- Last push (LearningCircuit/local-deep-research) · observed Aug 12, 2026
- License file (MIT) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 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: local-deep-research 8.9k · search_with_lepton 8.1k (synced Aug 12, 2026).
Common questions
- What is the difference between local-deep-research and search_with_lepton?
- local-deep-research: Supports local and cloud LLMs with encrypted search from diverse sources.. 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 local-deep-research over search_with_lepton?
- Choose local-deep-research over search_with_lepton when local-deep-research is primarily Python; search_with_lepton is TypeScript; License: local-deep-research is MIT, search_with_lepton is Apache-2.0; Tags unique to local-deep-research: academia, anthropic, arxiv, encryption; local-deep-research ships Docker support for self-hosted deployment; You need encryption for all data processing steps and want support for various sources like academic articles and personal files.
- When should I choose search_with_lepton over local-deep-research?
- Choose search_with_lepton over local-deep-research when search_with_lepton is primarily TypeScript; local-deep-research is Python; License: search_with_lepton is Apache-2.0, local-deep-research is MIT; Tags unique to search_with_lepton: ai-applications, bing-api, conversational-search, google-search; - When you need a quick prototype of a conversation-driven search engine leveraging Lepton AI.
- When should I avoid local-deep-research?
- If you require real-time collaboration features that are not supported by this tool's framework. In scenarios where online connectivity is unreliable and external search engine support is considered critical.
- 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 local-deep-research or search_with_lepton more popular on GitHub?
- local-deep-research has more GitHub stars (8,900 vs 8,081). Stars measure visibility, not whether either tool fits your constraints.
- Are local-deep-research and search_with_lepton open source?
- Yes - both are open-source projects on GitHub (local-deep-research: MIT, search_with_lepton: Apache-2.0).
- Where can I find alternatives to local-deep-research or search_with_lepton?
- GraphCanon lists graph-backed alternatives at local-deep-research alternatives and search_with_lepton alternatives (local-deep-research 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, local-deep-research or search_with_lepton?
- local-deep-research: 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 local-deep-research and search_with_lepton?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: local-deep-research trust report; search_with_lepton trust report.