Home/Compare/khoj vs llm-wiki-agent

Comparison

khoj vs llm-wiki-agent

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 llm-wiki-agent if llm-wiki-agent serves as a self-maintained personal knowledge base using AI agents like Claude, Codex, OpenCode, and Gemini CLI.

Markdown twin · khoj alternatives · llm-wiki-agent alternatives

GraphCanon updated Sep 20, 2026

6views this month

khoj logo

khoj

khoj-ai/khoj

★ 37kpushed Aug 2, 2026
vs
llm-wiki-agent logo

llm-wiki-agent

SamurAIGPT/llm-wiki-agent

★ 3.5kpushed Sep 7, 2026

Trust & integrity

Signalkhojllm-wiki-agent
Maintenance
Steady (47d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 8, 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 8, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No published findings from this source as of 2026-07-11
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
llm-wiki-agent
A personal knowledge base that builds and maintains itself using various AI agents.

Stars

khoj
37k
llm-wiki-agent
3.5k

Forks

khoj
2.5k
llm-wiki-agent
397

Open issues

khoj
150
llm-wiki-agent
5

Language

khoj
Python
llm-wiki-agent
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.
llm-wiki-agent
llm-wiki-agent serves as a self-maintained personal knowledge base using AI agents like Claude, Codex, OpenCode, and Gemini CLI.

Persona

khoj
-
llm-wiki-agent
-

Runtime

khoj
-
llm-wiki-agent
-

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.
llm-wiki-agent
MIT

Last pushed

khoj
Aug 2, 2026
llm-wiki-agent
Sep 7, 2026

Categories

khoj
AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training
llm-wiki-agent
AI Agents, Data & Retrieval

Trust and health

Maintenance

khoj
Steady (60%)
llm-wiki-agent
Very active (96%)

Days since push

khoj
47d
llm-wiki-agent
0d

Open issues (now)

khoj
150
llm-wiki-agent
5

Stars delta

khoj
+887 (30d)
llm-wiki-agent
+163 (30d)

Open issues delta

khoj
+17 (30d)
llm-wiki-agent
+2 (30d)

OSV dependency advisories

khoj
No lockfile (source not queried)
llm-wiki-agent
No published findings from this source as of 2026-07-11

Full report

llm-wiki-agent
Trust report

Choose khoj if…

  • License: khoj is AGPL-3.0, llm-wiki-agent 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..
  • Tags unique to khoj: agent, ai, assistant, chat.
  • Also covers Developer Tools, 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 llm-wiki-agent if…

  • License: llm-wiki-agent is MIT, khoj is AGPL-3.0.
  • Tags unique to llm-wiki-agent: ai-agent, automation, knowledge-base, llm.
  • When you need to create an interlinked wiki without setting up API keys or configuring Python environments.

When NOT to use llm-wiki-agent

  • If the process requires strict privacy controls and no third-party AI agents can be used.
  • When your project needs real-time interaction with APIs for dynamic content integration, as llm-wiki-agent does not support API-driven operations.

Explore

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 · llm-wiki-agent 3.5k (synced Sep 20, 2026).

Common questions

What is the difference between khoj and llm-wiki-agent?
khoj: Self-hostable AI second brain for personalized research and automation. llm-wiki-agent: A personal knowledge base that builds and maintains itself using various AI agents.. See the comparison table for live GitHub stats and shared categories.
When should I choose khoj over llm-wiki-agent?
Choose khoj over llm-wiki-agent when License: khoj is AGPL-3.0, llm-wiki-agent 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.; Tags unique to khoj: agent, ai, assistant, chat; Also covers Developer Tools, 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 llm-wiki-agent over khoj?
Choose llm-wiki-agent over khoj when License: llm-wiki-agent is MIT, khoj is AGPL-3.0; Tags unique to llm-wiki-agent: ai-agent, automation, knowledge-base, llm; When you need to create an interlinked wiki without setting up API keys or configuring Python environments.
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 llm-wiki-agent?
If the process requires strict privacy controls and no third-party AI agents can be used. When your project needs real-time interaction with APIs for dynamic content integration, as llm-wiki-agent does not support API-driven operations.
Is khoj or llm-wiki-agent more popular on GitHub?
khoj has more GitHub stars (37,399 vs 3,497). Stars measure visibility, not whether either tool fits your constraints.
Are khoj and llm-wiki-agent open source?
Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, llm-wiki-agent: MIT).
Where can I find alternatives to khoj or llm-wiki-agent?
GraphCanon lists graph-backed alternatives at khoj alternatives and llm-wiki-agent alternatives (khoj markdown twin, llm-wiki-agent 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 llm-wiki-agent?
khoj: Steady. llm-wiki-agent: 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 llm-wiki-agent?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: khoj trust report; llm-wiki-agent trust report.

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