Home/Compare/DistiLlama vs deep-searcher

Comparison

DistiLlama vs deep-searcher

Verdict

Pick DistiLlama if distiLlama is a Chrome extension for summarizing and chatting with web pages and local documents using locally running language models to ensure data privacy; pick deep-searcher if deepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.

Markdown twin · DistiLlama alternatives · deep-searcher alternatives

GraphCanon updated Sep 20, 2026

5views this month

DistiLlama logo

DistiLlama

shreyaskarnik/DistiLlama

304pushed Sep 2, 2024
vs
deep-searcher logo

deep-searcher

zilliztech/deep-searcher

8.1kpushed Nov 19, 2025

Trust & integrity

SignalDistiLlamadeep-searcher
Maintenance
Dormant (747d since push)
As of Sep 20, 2026 · github_public_v1
Slowing (272d since push)
As of Aug 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Aug 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · 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

DistiLlama
Chrome Extension for Summarizing and Chatting with Web Pages/Local Docs Using Local LLMs
deep-searcher
Open Source Deep Research Alternative to Reason and Search on Private Data.

Stars

DistiLlama
304
deep-searcher
8.1k

Forks

DistiLlama
32
deep-searcher
775

Open issues

DistiLlama
9
deep-searcher
53

Language

DistiLlama
TypeScript
deep-searcher
Python

Adopt for

DistiLlama
DistiLlama is a Chrome extension for summarizing and chatting with web pages and local documents using locally running language models to ensure data privacy.
deep-searcher
DeepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.

Persona

DistiLlama
-
deep-searcher
-

Runtime

DistiLlama
-
deep-searcher
-

License

DistiLlama
MIT
deep-searcher
Apache-2.0

Last pushed

DistiLlama
Sep 2, 2024
deep-searcher
Nov 19, 2025

Categories

DistiLlama
AI Agents, LLM Frameworks
deep-searcher
AI Agents, LLM Frameworks, Vector Databases

Trust and health

Maintenance

DistiLlama
Dormant (18%)
deep-searcher
Slowing (36%)

Days since push

DistiLlama
747d
deep-searcher
272d

Open issues (now)

DistiLlama
9
deep-searcher
53

Stars delta

DistiLlama
0 (30d)
deep-searcher
+59 (30d)

Owner type

DistiLlama
User
deep-searcher
Organization

Full report

DistiLlama
Trust report
deep-searcher
Trust report

Choose DistiLlama if…

  • DistiLlama is primarily TypeScript; deep-searcher is Python.
  • License: DistiLlama is MIT, deep-searcher is Apache-2.0.
  • Pricing: DistiLlama is free and open source software under the MIT license, however, users are responsible for maintaining and running their own local language models..
  • Tags unique to DistiLlama: chrome-extension, langchain, llama2, local-llm.
  • When you prioritize data privacy and prefer not to send sensitive information over the internet for processing.

When NOT to use DistiLlama

  • If your setup does not support the execution of local language models, as this is a prerequisite for using DistiLlama effectively.
  • When you require real-time interaction or access to cloud-based resources for more dynamic content generation since local LLMs may be limited by hardware performance.

Choose deep-searcher if…

  • deep-searcher is primarily Python; DistiLlama is TypeScript.
  • License: deep-searcher is Apache-2.0, DistiLlama is MIT.
  • Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm.
  • Also covers Vector Databases.
  • deep-searcher ships Docker support for self-hosted deployment.
  • When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.

When NOT to use deep-searcher

  • Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems.
  • Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: DistiLlama 304 · deep-searcher 8.1k (synced Sep 20, 2026).

Common questions

What is the difference between DistiLlama and deep-searcher?
DistiLlama: Chrome Extension for Summarizing and Chatting with Web Pages/Local Docs Using Local LLMs. deep-searcher: Open Source Deep Research Alternative to Reason and Search on Private Data.. See the comparison table for live GitHub stats and shared categories.
When should I choose DistiLlama over deep-searcher?
Choose DistiLlama over deep-searcher when DistiLlama is primarily TypeScript; deep-searcher is Python; License: DistiLlama is MIT, deep-searcher is Apache-2.0; Pricing: DistiLlama is free and open source software under the MIT license, however, users are responsible for maintaining and running their own local language models.; Tags unique to DistiLlama: chrome-extension, langchain, llama2, local-llm; When you prioritize data privacy and prefer not to send sensitive information over the internet for processing.
When should I choose deep-searcher over DistiLlama?
Choose deep-searcher over DistiLlama when deep-searcher is primarily Python; DistiLlama is TypeScript; License: deep-searcher is Apache-2.0, DistiLlama is MIT; Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm; Also covers Vector Databases; deep-searcher ships Docker support for self-hosted deployment; When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
When should I avoid DistiLlama?
If your setup does not support the execution of local language models, as this is a prerequisite for using DistiLlama effectively. When you require real-time interaction or access to cloud-based resources for more dynamic content generation since local LLMs may be limited by hardware performance.
When should I avoid deep-searcher?
Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems. Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
Is DistiLlama or deep-searcher more popular on GitHub?
deep-searcher has more GitHub stars (8,060 vs 304). Stars measure visibility, not whether either tool fits your constraints.
Are DistiLlama and deep-searcher open source?
Yes - both are open-source projects on GitHub (DistiLlama: MIT, deep-searcher: Apache-2.0).
Where can I find alternatives to DistiLlama or deep-searcher?
GraphCanon lists graph-backed alternatives at DistiLlama alternatives and deep-searcher alternatives (DistiLlama markdown twin, deep-searcher 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, DistiLlama or deep-searcher?
DistiLlama: Dormant. deep-searcher: Slowing. 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 DistiLlama and deep-searcher?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DistiLlama trust report; deep-searcher trust report.

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