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Comparison

LightRAG vs khoj

Verdict

Pick LightRAG if lightRAG is a framework designed for efficient retrieval-augmented generation methods, focusing on enhancing the performance of large language models with additional knowledge; 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.

Markdown twin · LightRAG alternatives · khoj alternatives

GraphCanon updated 4d

LightRAG logo

LightRAG

HKUDS/LightRAG

★ 39kpushed Aug 16, 2026
vs
khoj logo

khoj

khoj-ai/khoj

★ 37kpushed Aug 2, 2026

Trust & integrity

SignalLightRAGkhoj
Maintenance
Very active (0d since push)
As of 4d · github_public_v1
Active (14d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Organization account
As of 4d · github_public_v1
Not a fork · Organization account
As of 4d · 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
LightRAG trust reportkhoj trust reportTrust methodology

Tagline

LightRAG
[EMNLP2025] Simple and Fast Retrieval-Augmented Generation
khoj
Your AI second brain. Self-hostable.

Stars

LightRAG
39k
khoj
37k

Forks

LightRAG
5.5k
khoj
2.4k

Open issues

LightRAG
227
khoj
133

Language

LightRAG
Python
khoj
Python

Adopt for

LightRAG
LightRAG is a framework designed for efficient retrieval-augmented generation methods, focusing on enhancing the performance of large language models with additional knowledge.
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

Persona

LightRAG
-
khoj
-

Runtime

LightRAG
-
khoj
-

License

LightRAG
MIT
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

Last pushed

LightRAG
Aug 16, 2026
khoj
Aug 2, 2026

Categories

LightRAG
Data & Retrieval, LLM Frameworks
khoj
AI Agents, Developer Tools, Model Training

Trust and health

Maintenance

LightRAG
Very active (96%)
khoj
Active (82%)

Days since push

LightRAG
0d
khoj
14d

Open issues (now)

LightRAG
227
khoj
133

Stars delta

LightRAG
+1.2k (30d)
khoj
+702 (30d)

Open issues delta

LightRAG
+4 (30d)
khoj
+14 (30d)

Full report

LightRAG
Trust report
khoj
Trust report

Typed relationship

LightRAG alternative khojKhoj acts as an AI second brain, integrating with RAG-like functionalities for knowledge retrieval and generation, similar to LightRAG.

Choose LightRAG if…

  • License: LightRAG is MIT, khoj is AGPL-3.0.
  • Pricing: LightRAG is available under the MIT license and is free to use. Potential paid services or premium features may exist outside of this repository..
  • Requirements: Min 4 GB RAM; Requires Python environment compatible with the version supported by LightRAG.; External datasets and relevant APIs may be required for full functionality..
  • Khoj acts as an AI second brain, integrating with RAG-like functionalities for knowledge retrieval and generation, similar to LightRAG.
  • Tags unique to LightRAG: genai, gpt, knowledge-graph, rag.
  • Also covers Data & Retrieval, LLM Frameworks.
  • - When you need quick integration of external data sources to enrich your model outputs.

When NOT to use LightRAG

  • - If you require a more complex framework offering advanced customization options, LightRAG’s core focus on simplicity might not meet your needs.
  • - When the nature of your application demands real-time responses without room for the additional latency that might come with retrieval processes, despite being advertised as quick.
GitHubDetails

Choose khoj if…

  • License: khoj is AGPL-3.0, LightRAG is MIT.
  • Pricing: khoj provides free access to its core functionalities, but certain high-tier features might be subject to premium licensing..
  • Khoj acts as an AI second brain, integrating with RAG-like functionalities for knowledge retrieval and generation, similar to LightRAG.
  • Tags unique to khoj: agent, ai, assistant, chat.
  • Also covers AI Agents, 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.
GitHubDetails

Explore

LightRAG trust report →khoj trust report →Data & Retrieval category →LLM Frameworks category →AI Agents category →Developer Tools category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: LightRAG 39k · khoj 37k (synced Aug 16, 2026).

Common questions

What is the difference between LightRAG and khoj?
LightRAG: [EMNLP2025] Simple and Fast Retrieval-Augmented Generation. khoj: Your AI second brain. Self-hostable.. See the comparison table for live GitHub stats and shared categories.
When should I choose LightRAG over khoj?
Choose LightRAG over khoj when License: LightRAG is MIT, khoj is AGPL-3.0; Pricing: LightRAG is available under the MIT license and is free to use. Potential paid services or premium features may exist outside of this repository.; Requirements: Min 4 GB RAM; Requires Python environment compatible with the version supported by LightRAG.; External datasets and relevant APIs may be required for full functionality.; Khoj acts as an AI second brain, integrating with RAG-like functionalities for knowledge retrieval and generation, similar to LightRAG; Tags unique to LightRAG: genai, gpt, knowledge-graph, rag; Also covers Data & Retrieval, LLM Frameworks; - When you need quick integration of external data sources to enrich your model outputs.
When should I choose khoj over LightRAG?
Choose khoj over LightRAG when License: khoj is AGPL-3.0, LightRAG is MIT; Pricing: khoj provides free access to its core functionalities, but certain high-tier features might be subject to premium licensing.; Khoj acts as an AI second brain, integrating with RAG-like functionalities for knowledge retrieval and generation, similar to LightRAG; Tags unique to khoj: agent, ai, assistant, chat; Also covers AI Agents, 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 avoid LightRAG?
- If you require a more complex framework offering advanced customization options, LightRAG’s core focus on simplicity might not meet your needs. - When the nature of your application demands real-time responses without room for the additional latency that might come with retrieval processes, despite being advertised as quick.
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.
Is LightRAG or khoj more popular on GitHub?
LightRAG has more GitHub stars (38,895 vs 36,512). Stars measure visibility, not whether either tool fits your constraints.
Are LightRAG and khoj open source?
Yes - both are open-source projects on GitHub (LightRAG: MIT, khoj: AGPL-3.0).
Where can I find alternatives to LightRAG or khoj?
GraphCanon lists graph-backed alternatives at LightRAG alternatives and khoj alternatives (LightRAG markdown twin, khoj 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, LightRAG or khoj?
LightRAG: Very active. khoj: Active. 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 LightRAG and khoj?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LightRAG trust report; khoj trust report.

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