Comparison
khoj vs honcho
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 honcho if memory Library for Stateful Agents.
Markdown twin · khoj alternatives · honcho alternatives
GraphCanon updated Sep 20, 2026
6views this month
Trust & integrity
| Signal | khoj | honcho |
|---|---|---|
| Maintenance | Steady (47d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Aug 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 Aug 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 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
- honcho
- Memory library for building stateful agents
Stars
- khoj
- 37k
- honcho
- 6.7k
Forks
- khoj
- 2.5k
- honcho
- 824
Open issues
- khoj
- 150
- honcho
- 163
Language
- khoj
- Python
- honcho
- 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.
- honcho
- Memory Library for Stateful Agents
Persona
- khoj
- -
- honcho
- -
Runtime
- khoj
- -
- honcho
- -
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.
- honcho
- AGPL-3.0
Last pushed
- khoj
- Aug 2, 2026
- honcho
- Aug 18, 2026
Categories
- khoj
- AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training
- honcho
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- khoj
- Steady (60%)
- honcho
- Very active (96%)
Days since push
- khoj
- 47d
- honcho
- 0d
Open issues (now)
- khoj
- 150
- honcho
- 163
Stars delta
- khoj
- +887 (30d)
- honcho
- +659 (30d)
Open issues delta
- khoj
- +17 (30d)
- honcho
- -3 (30d)
Full report
- khoj
- Trust report
- honcho
- Trust report
Choose khoj if…
- 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 honcho if…
- Tags unique to honcho: agent-memory, ai-agents, embeddings, langchain.
- Requires managing long-term and contextual memory in AI agents for statefulness.
- More recently updated (last pushed Aug 18, 2026).
When NOT to use honcho
- Do not need complex SDK support or a customizable framework approach.
- Not interested in using stateful capabilities leveraging multiple APIs such as Gemini, Anthropic, and OpenAI.
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 (plastic-labs/honcho) · observed Sep 20, 2026
- GitHub forks (plastic-labs/honcho) · observed Sep 20, 2026
- Last push (plastic-labs/honcho) · observed Aug 18, 2026
- License file (AGPL-3.0) · 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 · honcho 6.7k (synced Sep 20, 2026).
Common questions
- What is the difference between khoj and honcho?
- khoj: Self-hostable AI second brain for personalized research and automation. honcho: Memory library for building stateful agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose khoj over honcho?
- Choose khoj over honcho when 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 honcho over khoj?
- Choose honcho over khoj when Tags unique to honcho: agent-memory, ai-agents, embeddings, langchain; Requires managing long-term and contextual memory in AI agents for statefulness; More recently updated (last pushed Aug 18, 2026).
- 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 honcho?
- Do not need complex SDK support or a customizable framework approach. Not interested in using stateful capabilities leveraging multiple APIs such as Gemini, Anthropic, and OpenAI.
- Is khoj or honcho more popular on GitHub?
- khoj has more GitHub stars (37,399 vs 6,703). Stars measure visibility, not whether either tool fits your constraints.
- Are khoj and honcho open source?
- Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, honcho: AGPL-3.0).
- Where can I find alternatives to khoj or honcho?
- GraphCanon lists graph-backed alternatives at khoj alternatives and honcho alternatives (khoj markdown twin, honcho 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 honcho?
- khoj: Steady. honcho: 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 honcho?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: khoj trust report; honcho trust report.