Comparison
khoj vs deep-searcher
Verdict
Pick khoj if khoj is a self-hosted AI assistant that supports integration with multiple LLMs, enabling users to build custom agents and conduct deep research using both web and local documents; 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 · khoj alternatives · deep-searcher alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | khoj | deep-searcher |
|---|---|---|
| Maintenance | Steady (47d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (272d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 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 Sep 18, 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
- khoj
- Self-hostable AI second brain for personalized research and automation
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data.
Stars
- khoj
- 37k
- deep-searcher
- 8.1k
Forks
- khoj
- 2.5k
- deep-searcher
- 775
Open issues
- khoj
- 150
- deep-searcher
- 53
Language
- khoj
- Python
- deep-searcher
- Python
Adopt for
- khoj
- Khoj is a self-hosted AI assistant that supports integration with multiple LLMs, enabling users to build custom agents and conduct deep research using both web and local documents.
- 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 licensed under AGPL-3.0, which means it is free to use, modify, and distribute, but any derivative works must also be released under the same license.
- deep-searcher
- Apache-2.0
Last pushed
- khoj
- Aug 2, 2026
- deep-searcher
- Nov 19, 2025
Categories
- khoj
- AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- khoj
- Steady (60%)
- deep-searcher
- Slowing (36%)
Days since push
- khoj
- 47d
- deep-searcher
- 272d
Open issues (now)
- khoj
- 150
- deep-searcher
- 53
Stars delta
- khoj
- +887 (30d)
- deep-searcher
- +59 (30d)
Open issues delta
- khoj
- +17 (30d)
- deep-searcher
- 0 (30d)
Full report
- khoj
- Trust 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 is free to use, but users may incur costs related to hosting and the LLMs they choose to integrate..
- Requirements: Min 4 GB RAM; Requires Docker; Khoj requires Docker for setup and operation.; Users must have a Python environment and the necessary dependencies installed..
- 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, chatgpt.
- Also covers Data & Retrieval, Developer Tools, Inference & Serving, Model Training.
- When you need a self-hosted solution for personalized research and automation that can integrate with a variety of LLMs, including GPT, Claude, Gemini, LLaMA, Qwen, and Mistral.
When NOT to use khoj
- If you are looking for a cloud-based service without the need for self-hosting, Khoj may not be the best fit.
- Khoj might not be ideal if you are seeking a tool that does not support a wide range of LLMs and requires a more specialized integration.
- If your research and automation needs are simple and do not require deep integration with local documents or web sources, a more straightforward tool might be more appropriate.
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, llm, 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 (khoj-ai/khoj) · observed Sep 20, 2026
- GitHub forks (khoj-ai/khoj) · observed Sep 20, 2026
- Last push (khoj-ai/khoj) · observed Aug 2, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (zilliztech/deep-searcher) · observed Sep 20, 2026
- GitHub forks (zilliztech/deep-searcher) · observed Sep 20, 2026
- Last push (zilliztech/deep-searcher) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: khoj 37k · deep-searcher 8.1k (synced Sep 20, 2026).
Common questions
- What is the difference between khoj and deep-searcher?
- khoj: Self-hostable AI second brain for personalized research and automation. 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 is free to use, but users may incur costs related to hosting and the LLMs they choose to integrate.; Requirements: Min 4 GB RAM; Requires Docker; Khoj requires Docker for setup and operation.; Users must have a Python environment and the necessary dependencies installed.; 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, chatgpt; Also covers Data & Retrieval, Developer Tools, Inference & Serving, Model Training; When you need a self-hosted solution for personalized research and automation that can integrate with a variety of LLMs, including GPT, Claude, Gemini, LLaMA, Qwen, and Mistral.
- 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, llm, 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?
- If you are looking for a cloud-based service without the need for self-hosting, Khoj may not be the best fit. Khoj might not be ideal if you are seeking a tool that does not support a wide range of LLMs and requires a more specialized integration. If your research and automation needs are simple and do not require deep integration with local documents or web sources, a more straightforward tool might be more appropriate.
- 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 (37,399 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: Steady. 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.