Home/Compare/local-deep-research vs search_with_lepton

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

local-deep-research logo

local-deep-research

LearningCircuit/local-deep-research

8.9kpushed Aug 12, 2026
vs
search_with_lepton logo

search_with_lepton

leptonai/search_with_lepton

8.1kpushed Dec 2, 2025

Trust & integrity

Signallocal-deep-researchsearch_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 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.

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