Home/Compare/khoj vs Agent-Reach

Comparison

khoj vs Agent-Reach

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 Agent-Reach if agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content.

Markdown twin · khoj alternatives · Agent-Reach alternatives

GraphCanon updated Sep 20, 2026

6views this month

khoj logo

khoj

khoj-ai/khoj

★ 37kpushed Aug 2, 2026
vs
Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

★ 84kpushed Sep 15, 2026

Trust & integrity

SignalkhojAgent-Reach
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 · Personal 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
Agent-Reach
AI Agent for Automated Web and Social Media Data Extraction

Stars

khoj
37k
Agent-Reach
84k

Forks

khoj
2.5k
Agent-Reach
7.3k

Open issues

khoj
150
Agent-Reach
153

Language

khoj
Python
Agent-Reach
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.
Agent-Reach
Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content.

Persona

khoj
-
Agent-Reach
-

Runtime

khoj
-
Agent-Reach
-

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.
Agent-Reach
MIT

Last pushed

khoj
Aug 2, 2026
Agent-Reach
Sep 15, 2026

Categories

khoj
AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training
Agent-Reach
AI Agents, Data & Retrieval

Trust and health

Maintenance

khoj
Steady (60%)
Agent-Reach
Very active (96%)

Days since push

khoj
47d
Agent-Reach
4d

Open issues (now)

khoj
150
Agent-Reach
153

Stars delta

khoj
+887 (30d)
Agent-Reach
+23k (30d)

Open issues delta

khoj
+17 (30d)
Agent-Reach
-15 (30d)

Owner type

khoj
Organization
Agent-Reach
User

Full report

Agent-Reach
Trust report

Choose khoj if…

  • License: khoj is AGPL-3.0, Agent-Reach 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 Agent-Reach if…

  • License: Agent-Reach is MIT, khoj is AGPL-3.0.
  • Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
  • When needing to bypass costly API fees for extensive social media platform data extraction

When NOT to use Agent-Reach

  • If strict compliance with website scraping policies is critical due to its use of scraping techniques
  • When direct interaction through APIs for precision and reliability is preferred over scraping

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 · Agent-Reach 84k (synced Sep 20, 2026).

Common questions

What is the difference between khoj and Agent-Reach?
khoj: Self-hostable AI second brain for personalized research and automation. Agent-Reach: AI Agent for Automated Web and Social Media Data Extraction. See the comparison table for live GitHub stats and shared categories.
When should I choose khoj over Agent-Reach?
Choose khoj over Agent-Reach when License: khoj is AGPL-3.0, Agent-Reach 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 Agent-Reach over khoj?
Choose Agent-Reach over khoj when License: Agent-Reach is MIT, khoj is AGPL-3.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; When needing to bypass costly API fees for extensive social media platform data extraction.
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 Agent-Reach?
If strict compliance with website scraping policies is critical due to its use of scraping techniques When direct interaction through APIs for precision and reliability is preferred over scraping
Is khoj or Agent-Reach more popular on GitHub?
Agent-Reach has more GitHub stars (83,516 vs 37,399). Stars measure visibility, not whether either tool fits your constraints.
Are khoj and Agent-Reach open source?
Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, Agent-Reach: MIT).
Where can I find alternatives to khoj or Agent-Reach?
GraphCanon lists graph-backed alternatives at khoj alternatives and Agent-Reach alternatives (khoj markdown twin, Agent-Reach 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 Agent-Reach?
khoj: Steady. Agent-Reach: 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 Agent-Reach?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: khoj trust report; Agent-Reach trust report.

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