Home/Compare/khoj vs deep-searcher

Comparison

khoj vs deep-searcher

Verdict

Pick khoj if khoj is a self-hostable AI tool that functions as an assistant able to extract information from the web or user documents for deep research tasks. It supports various local and online language models (LLMs) like GPT, LLa; pick deep-searcher if deepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM.

Markdown twin · khoj alternatives · deep-searcher alternatives

GraphCanon updated 5d

khoj logo

khoj

khoj-ai/khoj

37kpushed Aug 2, 2026
vs
deep-searcher logo

deep-searcher

zilliztech/deep-searcher

8.1kpushed Nov 19, 2025

Trust & integrity

Signalkhojdeep-searcher
Maintenance
Active (14d since push)
As of 1w · github_public_v1
Slowing (272d since push)
As of 5d · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Organization account
As of 5d · 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

khoj
Your AI second brain. Self-hostable.
deep-searcher
Open Source Deep Research Alternative to Reason and Search on Private Data.

Stars

khoj
37k
deep-searcher
8.1k

Forks

khoj
2.4k
deep-searcher
775

Open issues

khoj
133
deep-searcher
53

Language

khoj
Python
deep-searcher
Python

Adopt for

khoj
khoj is a self-hostable AI tool that functions as an assistant able to extract information from the web or user documents for deep research tasks. It supports various local and online language models (LLMs) like GPT, LLa
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

khoj
-
deep-searcher
-

Runtime

khoj
-
deep-searcher
-

License

khoj
khoj is distributed under the GNU Affero General Public License v3.0 (AGPL-3.0), which entails users must make source code available if they run modified versions of khoj on a network and allow others
deep-searcher
Apache-2.0

Last pushed

khoj
Aug 2, 2026
deep-searcher
Nov 19, 2025

Categories

khoj
AI Agents, Developer Tools, Model Training
deep-searcher
AI Agents, LLM Frameworks, Vector Databases

Trust and health

Maintenance

khoj
Active (82%)
deep-searcher
Slowing (36%)

Days since push

khoj
14d
deep-searcher
272d

Open issues (now)

khoj
133
deep-searcher
53

Stars delta

khoj
+702 (30d)
deep-searcher
+59 (30d)

Open issues delta

khoj
+14 (30d)
deep-searcher
0 (30d)

Full report

deep-searcher
Trust report

Typed relationship

khoj alternative deep-searcherDeep Research is an iterative research assistant powered by AI which aligns with Khoj's deep research functionalities.

Choose khoj if…

  • License: khoj is AGPL-3.0, deep-searcher is Apache-2.0.
  • Pricing: khoj provides free access to its core functionalities, but certain high-tier features might be subject to premium licensing..
  • Deep Research is an iterative research assistant powered by AI which aligns with Khoj's deep research functionalities.
  • Tags unique to khoj: ai, assistant, chat, obsidian.
  • Also covers Developer Tools, Model Training.
  • You're looking to build custom agents for specific tasks, making it ideal if you require a tool with high customization options.

When NOT to use khoj

  • When you need real-time responses where latency needs to be minimized, since self-hosting might introduce delays.
  • If you prefer cloud-based solutions for maintenance and scaling purposes without managing your own servers, khoj may not be the best option.

Choose deep-searcher if…

  • License: deep-searcher is Apache-2.0, khoj is AGPL-3.0.
  • Deep Research is an iterative research assistant powered by AI which aligns with Khoj's deep research functionalities.
  • Tags unique to deep-searcher: agentic-rag, deep-research, vector-database.
  • Also covers LLM Frameworks, Vector Databases.
  • 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: khoj 37k · deep-searcher 8.1k (synced Aug 16, 2026).

Common questions

What is the difference between khoj and deep-searcher?
khoj: Your AI second brain. Self-hostable.. 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 khoj over deep-searcher?
Choose khoj over deep-searcher when License: khoj is AGPL-3.0, deep-searcher is Apache-2.0; Pricing: khoj provides free access to its core functionalities, but certain high-tier features might be subject to premium licensing.; Deep Research is an iterative research assistant powered by AI which aligns with Khoj's deep research functionalities; Tags unique to khoj: ai, assistant, chat, obsidian; Also covers Developer Tools, Model Training; You're looking to build custom agents for specific tasks, making it ideal if you require a tool with high customization options.
When should I choose deep-searcher over khoj?
Choose deep-searcher over khoj when License: deep-searcher is Apache-2.0, khoj is AGPL-3.0; Deep Research is an iterative research assistant powered by AI which aligns with Khoj's deep research functionalities; Tags unique to deep-searcher: agentic-rag, deep-research, vector-database; Also covers LLM Frameworks, Vector Databases; 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 khoj?
When you need real-time responses where latency needs to be minimized, since self-hosting might introduce delays. If you prefer cloud-based solutions for maintenance and scaling purposes without managing your own servers, khoj may not be the best option.
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 khoj or deep-searcher more popular on GitHub?
khoj has more GitHub stars (36,512 vs 8,060). Stars measure visibility, not whether either tool fits your constraints.
Are khoj and deep-searcher open source?
Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, deep-searcher: Apache-2.0).
Where can I find alternatives to khoj or deep-searcher?
GraphCanon lists graph-backed alternatives at khoj alternatives and deep-searcher alternatives (khoj 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, khoj or deep-searcher?
khoj: Active. 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 khoj and deep-searcher?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: khoj trust report; deep-searcher trust report.

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