Comparison
Langchain-Chatchat vs qabot
Verdict
Pick Langchain-Chatchat if langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama; pick qabot if qabot enables CLI-based natural language queries on local or remote data. It is licensed under Apache-2.0.
Markdown twin · Langchain-Chatchat alternatives · qabot alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | Langchain-Chatchat | qabot |
|---|---|---|
| Maintenance | Slowing (311d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (563d 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
- Langchain-Chatchat
- Local knowledge-based LLM RAG and Agent app with Langchain
- qabot
- CLI-based natural language queries on local or remote data
Stars
- Langchain-Chatchat
- 39k
- qabot
- 244
Forks
- Langchain-Chatchat
- 6.3k
- qabot
- 20
Open issues
- Langchain-Chatchat
- 26
- qabot
- 2
Language
- Langchain-Chatchat
- Python
- qabot
- Python
Adopt for
- Langchain-Chatchat
- Langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama.
- qabot
- qabot enables CLI-based natural language queries on local or remote data. It is licensed under Apache-2.0.
Persona
- Langchain-Chatchat
- -
- qabot
- -
Runtime
- Langchain-Chatchat
- -
- qabot
- -
License
- Langchain-Chatchat
- Apache-2.0
- qabot
- Apache-2.0
Last pushed
- Langchain-Chatchat
- Nov 10, 2025
- qabot
- Mar 5, 2025
Categories
- Langchain-Chatchat
- AI Agents, Data & Retrieval, LLM Frameworks
- qabot
- Data & Retrieval
Trust and health
Maintenance
- Langchain-Chatchat
- Slowing (36%)
- qabot
- Dormant (18%)
Days since push
- Langchain-Chatchat
- 311d
- qabot
- 563d
Open issues (now)
- Langchain-Chatchat
- 26
- qabot
- 2
Stars delta
- Langchain-Chatchat
- +122 (30d)
- qabot
- -1 (30d)
Open issues delta
- Langchain-Chatchat
- +1 (30d)
- qabot
- 0 (30d)
Owner type
- Langchain-Chatchat
- Organization
- qabot
- User
Full report
- Langchain-Chatchat
- Trust report
- qabot
- Trust report
Choose Langchain-Chatchat if…
- Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt.
- Also covers AI Agents, LLM Frameworks.
- When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama.
When NOT to use Langchain-Chatchat
- If you are looking for a cloud-based solution that does not require local deployment and management.
- When your project specifically requires a different set of language models that are not supported by Langchain-Chatchat, such as models that are not listed in its documentation.
- If your use case does not benefit from the integration of RAG and Agent functionalities, and you are looking for a simpler chatbot solution.
- When you need a solution that is tightly integrated with a specific cloud provider's services, as Langchain-Chatchat is designed for local deployment and may not offer the same level of integration.
Choose qabot if…
- Tags unique to qabot: natural language processing, query interface.
- qabot ships Docker support for self-hosted deployment.
- Prefer qabot for users who prefer command-line interaction over graphical interfaces.
When NOT to use qabot
- Avoid if your workflow requires frequent visual analysis and interactivity.
- Skip qabot for scenarios with limited data transfer budgets as it might incur charges with remote data access.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (chatchat-space/Langchain-Chatchat) · observed Sep 20, 2026
- GitHub forks (chatchat-space/Langchain-Chatchat) · observed Sep 20, 2026
- Last push (chatchat-space/Langchain-Chatchat) · observed Nov 10, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (hardbyte/qabot) · observed Sep 20, 2026
- GitHub forks (hardbyte/qabot) · observed Sep 20, 2026
- Last push (hardbyte/qabot) · observed Mar 5, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Langchain-Chatchat 39k · qabot 244 (synced Sep 20, 2026).
Common questions
- What is the difference between Langchain-Chatchat and qabot?
- Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app with Langchain. qabot: CLI-based natural language queries on local or remote data. See the comparison table for live GitHub stats and shared categories.
- When should I choose Langchain-Chatchat over qabot?
- Choose Langchain-Chatchat over qabot when Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt; Also covers AI Agents, LLM Frameworks; When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama.
- When should I choose qabot over Langchain-Chatchat?
- Choose qabot over Langchain-Chatchat when Tags unique to qabot: natural language processing, query interface; qabot ships Docker support for self-hosted deployment; Prefer qabot for users who prefer command-line interaction over graphical interfaces.
- When should I avoid Langchain-Chatchat?
- If you are looking for a cloud-based solution that does not require local deployment and management. When your project specifically requires a different set of language models that are not supported by Langchain-Chatchat, such as models that are not listed in its documentation. If your use case does not benefit from the integration of RAG and Agent functionalities, and you are looking for a simpler chatbot solution. When you need a solution that is tightly integrated with a specific cloud provider's services, as Langchain-Chatchat is designed for local deployment and may not offer the same level of integration.
- When should I avoid qabot?
- Avoid if your workflow requires frequent visual analysis and interactivity. Skip qabot for scenarios with limited data transfer budgets as it might incur charges with remote data access.
- Is Langchain-Chatchat or qabot more popular on GitHub?
- Langchain-Chatchat has more GitHub stars (38,644 vs 244). Stars measure visibility, not whether either tool fits your constraints.
- Are Langchain-Chatchat and qabot open source?
- Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, qabot: Apache-2.0).
- Where can I find alternatives to Langchain-Chatchat or qabot?
- GraphCanon lists graph-backed alternatives at Langchain-Chatchat alternatives and qabot alternatives (Langchain-Chatchat markdown twin, qabot 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, Langchain-Chatchat or qabot?
- Langchain-Chatchat: Slowing. qabot: Dormant. 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 Langchain-Chatchat and qabot?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Langchain-Chatchat trust report; qabot trust report.