Comparison
khoj vs incognide
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 incognide if incognide is a TypeScript library for developing AI agents with integrated capabilities for llm-inference.
Markdown twin · khoj alternatives · incognide alternatives
GraphCanon updated Sep 20, 2026
8views this month
Trust & integrity
| Signal | khoj | incognide |
|---|---|---|
| Maintenance | Steady (47d since push) As of Sep 18, 2026 · github_public_v1 | Very active (4d since push) As of Sep 20, 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 20, 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
- incognide
- Develops AI agents and integrates llms for inference
Stars
- khoj
- 37k
- incognide
- 471
Forks
- khoj
- 2.5k
- incognide
- 50
Open issues
- khoj
- 150
- incognide
- 12
Language
- khoj
- Python
- incognide
- TypeScript
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.
- incognide
- Incognide is a TypeScript library for developing AI agents with integrated capabilities for llm-inference.
Persona
- khoj
- -
- incognide
- -
Runtime
- khoj
- -
- incognide
- -
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.
- incognide
- MIT
Last pushed
- khoj
- Aug 2, 2026
- incognide
- Sep 16, 2026
Categories
- khoj
- AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training
- incognide
- AI Agents, Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- khoj
- Steady (60%)
- incognide
- Very active (96%)
Days since push
- khoj
- 47d
- incognide
- 4d
Open issues (now)
- khoj
- 150
- incognide
- 12
Stars delta
- khoj
- +887 (30d)
- incognide
- +12 (30d)
Open issues delta
- khoj
- +17 (30d)
- incognide
- -6 (30d)
Full report
- khoj
- Trust report
- incognide
- Trust report
Choose khoj if…
- khoj is primarily Python; incognide is TypeScript.
- License: khoj is AGPL-3.0, incognide 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 Data & Retrieval, Developer Tools, Model Training.
- 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 incognide if…
- incognide is primarily TypeScript; khoj is Python.
- License: incognide is MIT, khoj is AGPL-3.0.
- Tags unique to incognide: agents, ai-agents, artificial-intelligence, llm-inference.
- Also covers LLM Frameworks.
- When you need a TypeScript-based solution to develop AI agents that integrate llm-inference features
When NOT to use incognide
- If your project requires languages other than TypeScript as the primary language
- Not suitable if you are looking for ready-to-deploy production tools, given its focus on research and development phase
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 (NPC-Worldwide/incognide) · observed Sep 20, 2026
- GitHub forks (NPC-Worldwide/incognide) · observed Sep 20, 2026
- Last push (NPC-Worldwide/incognide) · observed Sep 16, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: khoj 37k · incognide 471 (synced Sep 20, 2026).
Common questions
- What is the difference between khoj and incognide?
- khoj: Self-hostable AI second brain for personalized research and automation. incognide: Develops AI agents and integrates llms for inference. See the comparison table for live GitHub stats and shared categories.
- When should I choose khoj over incognide?
- Choose khoj over incognide when khoj is primarily Python; incognide is TypeScript; License: khoj is AGPL-3.0, incognide 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 Data & Retrieval, Developer Tools, Model Training; 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 incognide over khoj?
- Choose incognide over khoj when incognide is primarily TypeScript; khoj is Python; License: incognide is MIT, khoj is AGPL-3.0; Tags unique to incognide: agents, ai-agents, artificial-intelligence, llm-inference; Also covers LLM Frameworks; When you need a TypeScript-based solution to develop AI agents that integrate llm-inference features.
- 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 incognide?
- If your project requires languages other than TypeScript as the primary language Not suitable if you are looking for ready-to-deploy production tools, given its focus on research and development phase
- Is khoj or incognide more popular on GitHub?
- khoj has more GitHub stars (37,399 vs 471). Stars measure visibility, not whether either tool fits your constraints.
- Are khoj and incognide open source?
- Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, incognide: MIT).
- Where can I find alternatives to khoj or incognide?
- GraphCanon lists graph-backed alternatives at khoj alternatives and incognide alternatives (khoj markdown twin, incognide 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 incognide?
- khoj: Steady. incognide: 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 incognide?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: khoj trust report; incognide trust report.