Comparison
khoj vs LEANN
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 LEANN if lEANN is a retrieval-augmented generation (RAG) application that provides substantial storage savings and ensures privacy. It supports various models such as ColQwen2 and ColPali, making it.
Markdown twin · khoj alternatives · LEANN alternatives
GraphCanon updated Sep 20, 2026
13views this month
Trust & integrity
| Signal | khoj | LEANN |
|---|---|---|
| Maintenance | Steady (47d since push) As of Sep 18, 2026 · github_public_v1 | Active (17d 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
- LEANN
- RAG on Everything with LEANN
Stars
- khoj
- 37k
- LEANN
- 13k
Forks
- khoj
- 2.5k
- LEANN
- 1.1k
Open issues
- khoj
- 150
- LEANN
- 45
Language
- khoj
- Python
- LEANN
- 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.
- LEANN
- LEANN is a retrieval-augmented generation (RAG) application that provides substantial storage savings and ensures privacy. It supports various models such as ColQwen2 and ColPali, making it easy to integrate into Python,
Persona
- khoj
- -
- LEANN
- -
Runtime
- khoj
- -
- LEANN
- -
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.
- LEANN
- MIT
Last pushed
- khoj
- Aug 2, 2026
- LEANN
- Jul 31, 2026
Categories
- khoj
- AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training
- LEANN
- Data & Retrieval, Developer Tools
Trust and health
Maintenance
- khoj
- Steady (60%)
- LEANN
- Active (82%)
Days since push
- khoj
- 47d
- LEANN
- 17d
Open issues (now)
- khoj
- 150
- LEANN
- 45
Stars delta
- khoj
- +887 (30d)
- LEANN
- +81 (30d)
Open issues delta
- khoj
- +17 (30d)
- LEANN
- 0 (30d)
Full report
- khoj
- Trust report
- LEANN
- Trust report
Typed relationship
khoj alternative LEANNKhoj offers personalization and is described as an AI second brain which can serve similar purposes to storage-efficient personalized RAG applications like LEANN, though their approaches may differ.
Choose khoj if…
- License: khoj is AGPL-3.0, LEANN is MIT.
- 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..
- Khoj offers personalization and is described as an AI second brain which can serve similar purposes to storage-efficient personalized RAG applications like LEANN, though their approaches may differ.
- Tags unique to khoj: agent, assistant, chat, chatgpt.
- Also covers AI Agents, Inference & Serving, Model Training.
- khoj ships Docker support for self-hosted deployment.
- 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 LEANN if…
- License: LEANN is MIT, khoj is AGPL-3.0.
- Khoj offers personalization and is described as an AI second brain which can serve similar purposes to storage-efficient personalized RAG applications like LEANN, though their approaches may differ.
- Tags unique to LEANN: faiss, gpt-oss, langchain, llama-index.
- When you need significant storage savings, LEANN offers up to 97% reduction compared to other solutions.
When NOT to use LEANN
- Avoid using LEANN if you have strict hardware limitations since it requires the installation of both Python and C++ dependencies.
- LEANN may not be suitable for users who prefer tools that do not demand manual setup of vector databases or models like Ollama and ColQwen2.
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 (StarTrail-org/LEANN) · observed Sep 20, 2026
- GitHub forks (StarTrail-org/LEANN) · observed Sep 20, 2026
- Last push (StarTrail-org/LEANN) · observed Jul 31, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: khoj 37k · LEANN 13k (synced Sep 20, 2026).
Common questions
- What is the difference between khoj and LEANN?
- khoj: Self-hostable AI second brain for personalized research and automation. LEANN: RAG on Everything with LEANN. See the comparison table for live GitHub stats and shared categories.
- When should I choose khoj over LEANN?
- Choose khoj over LEANN when License: khoj is AGPL-3.0, LEANN is MIT; 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.; Khoj offers personalization and is described as an AI second brain which can serve similar purposes to storage-efficient personalized RAG applications like LEANN, though their approaches may differ; Tags unique to khoj: agent, assistant, chat, chatgpt; Also covers AI Agents, Inference & Serving, Model Training; khoj ships Docker support for self-hosted deployment; 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 LEANN over khoj?
- Choose LEANN over khoj when License: LEANN is MIT, khoj is AGPL-3.0; Khoj offers personalization and is described as an AI second brain which can serve similar purposes to storage-efficient personalized RAG applications like LEANN, though their approaches may differ; Tags unique to LEANN: faiss, gpt-oss, langchain, llama-index; When you need significant storage savings, LEANN offers up to 97% reduction compared to other solutions.
- 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 LEANN?
- Avoid using LEANN if you have strict hardware limitations since it requires the installation of both Python and C++ dependencies. LEANN may not be suitable for users who prefer tools that do not demand manual setup of vector databases or models like Ollama and ColQwen2.
- Is khoj or LEANN more popular on GitHub?
- khoj has more GitHub stars (37,399 vs 12,785). Stars measure visibility, not whether either tool fits your constraints.
- Are khoj and LEANN open source?
- Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, LEANN: MIT).
- Where can I find alternatives to khoj or LEANN?
- GraphCanon lists graph-backed alternatives at khoj alternatives and LEANN alternatives (khoj markdown twin, LEANN 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 LEANN?
- khoj: Steady. LEANN: 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 khoj and LEANN?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: khoj trust report; LEANN trust report.