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Comparison

khoj vs txtai

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 txtai if txtai is an all-in-one AI framework that supports semantic search, LLM orchestration, and language model workflows, making it suitable for projects that require comprehensive AI capabilities.

Markdown twin · khoj alternatives · txtai alternatives

GraphCanon updated Sep 20, 2026

14views this month

khoj logo

khoj

khoj-ai/khoj

★ 37kpushed Aug 2, 2026
vs
txtai logo

txtai

neuml/txtai

★ 13kpushed Sep 15, 2026

Trust & integrity

Signalkhojtxtai
Maintenance
Steady (47d since push)
As of Sep 18, 2026 · github_public_v1
Very active (2d since push)
As of Sep 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 Sep 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 Sep 18, 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
khoj trust reporttxtai trust reportTrust methodology

Tagline

khoj
Self-hostable AI second brain for personalized research and automation
txtai
All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Stars

khoj
37k
txtai
13k

Forks

khoj
2.5k
txtai
891

Open issues

khoj
150
txtai
10

Language

khoj
Python
txtai
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.
txtai
txtai is an all-in-one AI framework that supports semantic search, LLM orchestration, and language model workflows, making it suitable for projects that require comprehensive AI capabilities in Python.

Persona

khoj
-
txtai
-

Runtime

khoj
-
txtai
-

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.
txtai
Apache-2.0

Last pushed

khoj
Aug 2, 2026
txtai
Sep 15, 2026

Categories

khoj
AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training
txtai
AI Agents, Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training, Vector Databases

Trust and health

Maintenance

khoj
Steady (60%)
txtai
Very active (96%)

Days since push

khoj
47d
txtai
2d

Open issues (now)

khoj
150
txtai
10

Stars delta

khoj
+887 (30d)
txtai
+69 (30d)

Open issues delta

khoj
+17 (30d)
txtai
0 (30d)

Full report

khoj
Trust report
txtai
Trust report

Typed relationship

khoj alternative txtaiTxtAI provides semantic search and LLM workflows, much like Khoj's capabilities for searching through documents and the web.

Choose khoj if…

  • License: khoj is AGPL-3.0, txtai 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..
  • TxtAI provides semantic search and LLM workflows, much like Khoj's capabilities for searching through documents and the web.
  • Tags unique to khoj: agent, assistant, chat, chatgpt.
  • Also covers Developer Tools.
  • 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.
GitHubDetails

Choose txtai if…

  • License: txtai is Apache-2.0, khoj is AGPL-3.0.
  • TxtAI provides semantic search and LLM workflows, much like Khoj's capabilities for searching through documents and the web.
  • Tags unique to txtai: agents, ai-agents, embeddings, information retrieval.
  • Also covers Evaluation & Observability, Vector Databases.
  • When you need a comprehensive framework that integrates semantic search, LLM orchestration, and language model workflows in a single package.

When NOT to use txtai

  • If your project strictly requires a framework that is not Python-based, as txtai is specifically designed for Python environments.
  • When you need a tool that focuses solely on a specific aspect of AI, such as only semantic search or only LLM orchestration, as txtai's all-in-one approach might introduce unnecessary complexity.
  • If your project cannot accommodate the Apache-2.0 license, as txtai is distributed under this license and may not be suitable for projects with different licensing requirements.
GitHubDetails

Explore

khoj trust report →txtai trust report →AI Agents category →Data & Retrieval category →Developer Tools category →Inference & Serving category →Model Training category →Evaluation & Observability category →Vector Databases 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: khoj 37k · txtai 13k (synced Sep 20, 2026).

Common questions

What is the difference between khoj and txtai?
khoj: Self-hostable AI second brain for personalized research and automation. txtai: All-in-one AI framework for semantic search, LLM orchestration and language model workflows. See the comparison table for live GitHub stats and shared categories.
When should I choose khoj over txtai?
Choose khoj over txtai when License: khoj is AGPL-3.0, txtai 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.; TxtAI provides semantic search and LLM workflows, much like Khoj's capabilities for searching through documents and the web; Tags unique to khoj: agent, assistant, chat, chatgpt; Also covers Developer Tools; 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 txtai over khoj?
Choose txtai over khoj when License: txtai is Apache-2.0, khoj is AGPL-3.0; TxtAI provides semantic search and LLM workflows, much like Khoj's capabilities for searching through documents and the web; Tags unique to txtai: agents, ai-agents, embeddings, information retrieval; Also covers Evaluation & Observability, Vector Databases; When you need a comprehensive framework that integrates semantic search, LLM orchestration, and language model workflows in a single package.
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 txtai?
If your project strictly requires a framework that is not Python-based, as txtai is specifically designed for Python environments. When you need a tool that focuses solely on a specific aspect of AI, such as only semantic search or only LLM orchestration, as txtai's all-in-one approach might introduce unnecessary complexity. If your project cannot accommodate the Apache-2.0 license, as txtai is distributed under this license and may not be suitable for projects with different licensing requirements.
Is khoj or txtai more popular on GitHub?
khoj has more GitHub stars (37,399 vs 12,959). Stars measure visibility, not whether either tool fits your constraints.
Are khoj and txtai open source?
Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, txtai: Apache-2.0).
Where can I find alternatives to khoj or txtai?
GraphCanon lists graph-backed alternatives at khoj alternatives and txtai alternatives (khoj markdown twin, txtai 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 txtai?
khoj: Steady. txtai: Very 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 txtai?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: khoj trust report; txtai trust report.

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