Comparison
Langchain-Chatchat vs local-deep-research
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 local-deep-research if for deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents.
Markdown twin · Langchain-Chatchat alternatives · local-deep-research alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | Langchain-Chatchat | local-deep-research |
|---|---|---|
| Maintenance | Slowing (311d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d 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 15, 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
- local-deep-research
- Supports local and cloud LLMs with encrypted search from diverse sources.
Stars
- Langchain-Chatchat
- 39k
- local-deep-research
- 9.1k
Forks
- Langchain-Chatchat
- 6.3k
- local-deep-research
- 824
Open issues
- Langchain-Chatchat
- 26
- local-deep-research
- 887
Language
- Langchain-Chatchat
- Python
- local-deep-research
- 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.
- local-deep-research
- For deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents.
Persona
- Langchain-Chatchat
- -
- local-deep-research
- -
Runtime
- Langchain-Chatchat
- -
- local-deep-research
- -
License
- Langchain-Chatchat
- Apache-2.0
- local-deep-research
- MIT
Last pushed
- Langchain-Chatchat
- Nov 10, 2025
- local-deep-research
- Sep 19, 2026
Categories
- Langchain-Chatchat
- AI Agents, Data & Retrieval, LLM Frameworks
- local-deep-research
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- Langchain-Chatchat
- Slowing (36%)
- local-deep-research
- Very active (96%)
Days since push
- Langchain-Chatchat
- 311d
- local-deep-research
- 0d
Open issues (now)
- Langchain-Chatchat
- 26
- local-deep-research
- 887
Stars delta
- Langchain-Chatchat
- +122 (30d)
- local-deep-research
- +209 (30d)
Open issues delta
- Langchain-Chatchat
- +1 (30d)
- local-deep-research
- +535 (30d)
Owner type
- Langchain-Chatchat
- Organization
- local-deep-research
- User
Full report
- Langchain-Chatchat
- Trust report
- local-deep-research
- Trust report
Shared compatibility
- LangChain · Langchain-Chatchat: LangChain integration · local-deep-research: LangChain integration
Choose Langchain-Chatchat if…
- License: Langchain-Chatchat is Apache-2.0, local-deep-research is MIT.
- Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt.
- Also covers AI Agents.
- 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 local-deep-research if…
- License: local-deep-research is MIT, Langchain-Chatchat is Apache-2.0.
- Tags unique to local-deep-research: academia, anthropic, arxiv, encryption.
- local-deep-research ships Docker support for self-hosted deployment.
- You need encryption for all data processing steps and want support for various sources like academic articles and personal files.
When NOT to use local-deep-research
- If you require real-time collaboration features that are not supported by this tool's framework.
- In scenarios where online connectivity is unreliable and external search engine support is considered critical.
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 (LearningCircuit/local-deep-research) · observed Sep 20, 2026
- GitHub forks (LearningCircuit/local-deep-research) · observed Sep 20, 2026
- Last push (LearningCircuit/local-deep-research) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: Langchain-Chatchat 39k · local-deep-research 9.1k (synced Sep 20, 2026).
Common questions
- What is the difference between Langchain-Chatchat and local-deep-research?
- Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app with Langchain. local-deep-research: Supports local and cloud LLMs with encrypted search from diverse sources.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Langchain-Chatchat over local-deep-research?
- Choose Langchain-Chatchat over local-deep-research when License: Langchain-Chatchat is Apache-2.0, local-deep-research is MIT; Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt; Also covers AI Agents; 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 local-deep-research over Langchain-Chatchat?
- Choose local-deep-research over Langchain-Chatchat when License: local-deep-research is MIT, Langchain-Chatchat is Apache-2.0; Tags unique to local-deep-research: academia, anthropic, arxiv, encryption; local-deep-research ships Docker support for self-hosted deployment; You need encryption for all data processing steps and want support for various sources like academic articles and personal files.
- 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 local-deep-research?
- If you require real-time collaboration features that are not supported by this tool's framework. In scenarios where online connectivity is unreliable and external search engine support is considered critical.
- Is Langchain-Chatchat or local-deep-research more popular on GitHub?
- Langchain-Chatchat has more GitHub stars (38,644 vs 9,109). Stars measure visibility, not whether either tool fits your constraints.
- Are Langchain-Chatchat and local-deep-research open source?
- Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, local-deep-research: MIT).
- Where can I find alternatives to Langchain-Chatchat or local-deep-research?
- GraphCanon lists graph-backed alternatives at Langchain-Chatchat alternatives and local-deep-research alternatives (Langchain-Chatchat markdown twin, local-deep-research 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 local-deep-research?
- Langchain-Chatchat: Slowing. local-deep-research: 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 Langchain-Chatchat and local-deep-research?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Langchain-Chatchat trust report; local-deep-research trust report.