Comparison
khoj vs deep-searcher
khoj (Your AI second brain) vs deep-searcher (Open Source Deep Research Alternative to Reason and Search on Private Data) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · khoj alternatives · deep-searcher alternatives
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Tagline
- khoj
- Your AI second brain
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data
Stars
- khoj
- 36k
- deep-searcher
- 7.9k
Forks
- khoj
- 2.3k
- deep-searcher
- 767
Open issues
- khoj
- 117
- deep-searcher
- 53
Language
- khoj
- Python
- deep-searcher
- Python
Adopt for
- khoj
- khoj is an AI application that extends personal capabilities via web searches or document retrieval, supporting self-hosting. It can integrate with various tools and formats.
- deep-searcher
- DeepSearcher is an open-source tool that combines advanced large language models (LLMs) and vector databases to perform search, evaluation, and reasoning based on private data. It provides enterprise knowledge management
Persona
- khoj
- -
- deep-searcher
- -
Runtime
- khoj
- -
- deep-searcher
- -
License
- khoj
- AGPL-3.0
- deep-searcher
- Apache-2.0
Last pushed
- khoj
- Jun 24, 2026
- deep-searcher
- Nov 19, 2025
Categories
- khoj
- AI Agents, Data & Retrieval, Inference & Serving, Evaluation & Observability
- deep-searcher
- AI Agents, Data & Retrieval, Vector Databases
Trust and health
Maintenance
- khoj
- Active (82%)
- deep-searcher
- Slowing (36%)
Days since push
- khoj
- 13d
- deep-searcher
- 231d
Open issues (now)
- khoj
- 117
- deep-searcher
- 53
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 offers a free self-hosted version. For enterprise-level services with additional support options, pricing details can be found on their official website..
- Requirements: Min 4 GB RAM; Requires Python environment for self-hosting.; Can also be accessed via its cloud app without local setup..
- Deep Research is an iterative research assistant powered by AI which aligns with Khoj's deep research functionalities.
- Tags unique to khoj: assistant, chat, self-hosted, ai.
- Also covers Inference & Serving, Evaluation & Observability.
- When you need to personalize your assistant by creating custom agents tailored to specific roles or tasks.
When NOT to use khoj
- When requiring an out-of-the-box, no-setup-needed AI tool for all use cases as khoj has a significant setup process for full personalization and control.
- If your primary need is solely image generation or simple document viewing without any customizations or smart notifications, since khoj's strengths lie in its extensive customization options and deep
- automation capabilities.
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: llm, openai, claude, agentic-rag.
- Also covers Vector Databases.
- - **When you need a flexible embedding option**: DeepSearcher supports multiple embedding models like Milvus for optimal selection.
When NOT to use deep-searcher
- - **If you require real-time web content integration only**: DeepSearcher primarily focuses on local/private data. Online content integration is possible but not its core functionality.
- - **When strict API dependency avoidance is needed**: DeepSearcher often relies on specific APIs (e.g., OpenAI) for LLM services, which might be a constraint in environments strictly avoiding third-党
Explore
khoj trust report →deep-searcher trust report →AI Agents category →Data & Retrieval category →Inference & Serving category →Evaluation & Observability category →Vector Databases category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between khoj and deep-searcher?
- khoj: Your AI second brain. 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 offers a free self-hosted version. For enterprise-level services with additional support options, pricing details can be found on their official website.; Requirements: Min 4 GB RAM; Requires Python environment for self-hosting.; Can also be accessed via its cloud app without local setup.; Deep Research is an iterative research assistant powered by AI which aligns with Khoj's deep research functionalities; Tags unique to khoj: assistant, chat, self-hosted, ai; Also covers Inference & Serving, Evaluation & Observability; When you need to personalize your assistant by creating custom agents tailored to specific roles or tasks.
- 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: llm, openai, claude, agentic-rag; Also covers Vector Databases; - **When you need a flexible embedding option**: DeepSearcher supports multiple embedding models like Milvus for optimal selection.
- When should I avoid khoj?
- When requiring an out-of-the-box, no-setup-needed AI tool for all use cases as khoj has a significant setup process for full personalization and control. If your primary need is solely image generation or simple document viewing without any customizations or smart notifications, since khoj's strengths lie in its extensive customization options and deep automation capabilities.
- When should I avoid deep-searcher?
- - **If you require real-time web content integration only**: DeepSearcher primarily focuses on local/private data. Online content integration is possible but not its core functionality. - **When strict API dependency avoidance is needed**: DeepSearcher often relies on specific APIs (e.g., OpenAI) for LLM services, which might be a constraint in environments strictly avoiding third-党
- Is khoj or deep-searcher more popular on GitHub?
- khoj has more GitHub stars (35,524 vs 7,934). 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 /tools/khoj-ai-khoj/alternatives and /tools/zilliztech-deep-searcher/alternatives (/tools/khoj-ai-khoj/alternatives.md, /tools/zilliztech-deep-searcher/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/khoj-ai-khoj-vs-zilliztech-deep-searcher.md 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: /tools/khoj-ai-khoj/trust; deep-searcher: /tools/zilliztech-deep-searcher/trust.