Comparison
khoj vs LLocalSearch
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 LLocalSearch if lLocalSearch is a locally-running search engine that leverages language model agents to find answers without needing external API keys.
Markdown twin · khoj alternatives · LLocalSearch alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | khoj | LLocalSearch |
|---|---|---|
| Maintenance | Steady (47d since push) As of Sep 18, 2026 · github_public_v1 | Archived (166d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings 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
- LLocalSearch
- Locally running search aggregator using LLM Agents
Stars
- khoj
- 37k
- LLocalSearch
- 5.9k
Forks
- khoj
- 2.5k
- LLocalSearch
- 363
Open issues
- khoj
- 150
- LLocalSearch
- 58
Language
- khoj
- Python
- LLocalSearch
- Go
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.
- LLocalSearch
- LLocalSearch is a locally-running search engine that leverages language model agents to find answers without needing external API keys.
Persona
- khoj
- -
- LLocalSearch
- -
Runtime
- khoj
- -
- LLocalSearch
- -
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.
- LLocalSearch
- The tool is released under the Apache-2.0 license, allowing for extensive use including modification and redistribution with proper attribution.
Last pushed
- khoj
- Aug 2, 2026
- LLocalSearch
- Mar 24, 2026
Categories
- khoj
- AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training
- LLocalSearch
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- khoj
- Steady (60%)
- LLocalSearch
- Archived (8%)
Days since push
- khoj
- 47d
- LLocalSearch
- 166d
Archived on GitHub
- khoj
- No
- LLocalSearch
- Yes
Open issues (now)
- khoj
- 150
- LLocalSearch
- 58
Stars delta
- khoj
- +887 (30d)
- LLocalSearch
- -10 (30d)
Open issues delta
- khoj
- +17 (30d)
- LLocalSearch
- 0 (30d)
Owner type
- khoj
- Organization
- LLocalSearch
- User
OSV dependency advisories
- khoj
- No lockfile (source not queried)
- LLocalSearch
- Published findings
Full report
- khoj
- Trust report
- LLocalSearch
- Trust report
Choose khoj if…
- khoj is primarily Python; LLocalSearch is Go.
- License: khoj is AGPL-3.0, LLocalSearch 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..
- Tags unique to khoj: agent, ai, assistant, chat.
- Also covers Developer Tools, Inference & Serving, 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 LLocalSearch if…
- LLocalSearch is primarily Go; khoj is Python.
- License: LLocalSearch is Apache-2.0, khoj is AGPL-3.0.
- Pricing: Free to use, but customization or complex setups may require additional expertise.
- Requirements: Min 4 GB RAM; Requires Docker.
- Tags unique to LLocalSearch: agent-based-search, docker-supported, language models, llm.
- When you prefer local processing for privacy reasons
When NOT to use LLocalSearch
- In environments where cloud-based solutions are mandatory due to company policies
- If real-time responses are required as LLocalSearch might have latency issues depending on local resources
- For users who prefer simple installations without setting up a local Docker environment
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 (nilsherzig/LLocalSearch) · observed Sep 20, 2026
- GitHub forks (nilsherzig/LLocalSearch) · observed Sep 20, 2026
- Last push (nilsherzig/LLocalSearch) · observed Mar 24, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: khoj 37k · LLocalSearch 5.9k (synced Sep 20, 2026).
Common questions
- What is the difference between khoj and LLocalSearch?
- khoj: Self-hostable AI second brain for personalized research and automation. LLocalSearch: Locally running search aggregator using LLM Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose khoj over LLocalSearch?
- Choose khoj over LLocalSearch when khoj is primarily Python; LLocalSearch is Go; License: khoj is AGPL-3.0, LLocalSearch 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.; Tags unique to khoj: agent, ai, assistant, chat; Also covers Developer Tools, Inference & Serving, 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 LLocalSearch over khoj?
- Choose LLocalSearch over khoj when LLocalSearch is primarily Go; khoj is Python; License: LLocalSearch is Apache-2.0, khoj is AGPL-3.0; Pricing: Free to use, but customization or complex setups may require additional expertise; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to LLocalSearch: agent-based-search, docker-supported, language models, llm; When you prefer local processing for privacy reasons.
- 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 LLocalSearch?
- In environments where cloud-based solutions are mandatory due to company policies If real-time responses are required as LLocalSearch might have latency issues depending on local resources For users who prefer simple installations without setting up a local Docker environment
- Is khoj or LLocalSearch more popular on GitHub?
- khoj has more GitHub stars (37,399 vs 5,945). Stars measure visibility, not whether either tool fits your constraints.
- Are khoj and LLocalSearch open source?
- Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, LLocalSearch: Apache-2.0).
- Where can I find alternatives to khoj or LLocalSearch?
- GraphCanon lists graph-backed alternatives at khoj alternatives and LLocalSearch alternatives (khoj markdown twin, LLocalSearch 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 LLocalSearch?
- khoj: Steady. LLocalSearch: Archived. 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 LLocalSearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: khoj trust report; LLocalSearch trust report.