Comparison
langchain vs LangGPT
Verdict
Pick langchain if langChain is a Python framework for building agents and LLM-powered applications, offering interoperable components and third-party integrations to simplify AI application development; pick LangGPT if langGPT: A structured & meta-prompt design framework.
Markdown twin · langchain alternatives · LangGPT alternatives
GraphCanon updated Sep 30, 2026
13views this month
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Trust & integrity
| Signal | langchain | LangGPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Active (9d 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 · Organization 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
- The agent engineering platform.
- LangGPT
- A pioneering framework for structured & meta-prompt design
Stars
- langchain
- 147k
- LangGPT
- 13k
Forks
- langchain
- 25k
- LangGPT
- 947
Open issues
- langchain
- 541
- LangGPT
- 0
Language
- langchain
- Python
- LangGPT
- Jupyter Notebook
Adopt for
- langchain
- LangChain is a Python framework for building agents and LLM-powered applications, offering interoperable components and third-party integrations to simplify AI application development.
- LangGPT
- LangGPT: A structured & meta-prompt design framework.
Persona
- langchain
- -
- LangGPT
- -
Runtime
- langchain
- -
- LangGPT
- -
License
- langchain
- MIT
- LangGPT
- Apache-2.0
Last pushed
- langchain
- Sep 18, 2026
- LangGPT
- Sep 11, 2026
Categories
- langchain
- AI Agents, LLM Frameworks
- LangGPT
- Developer Tools, Model Training
Trust and health
Maintenance
- langchain
- Very active (96%)
- LangGPT
- Active (82%)
Days since push
- langchain
- 0d
- LangGPT
- 9d
Open issues (now)
- langchain
- 541
- LangGPT
- 0
Stars delta
- langchain
- +3.0k (30d)
- LangGPT
- +161 (30d)
Open issues delta
- langchain
- +78 (30d)
- LangGPT
- 0 (30d)
Full report
- langchain
- Trust report
- LangGPT
- Trust report
Choose langchain if…
- langchain is primarily Python; LangGPT is Jupyter Notebook.
- License: langchain is MIT, LangGPT is Apache-2.0.
- Tags unique to langchain: agents, ai-agents, langchain, multiagent.
- Also covers AI Agents, LLM Frameworks.
- When you need a framework that simplifies chaining together interoperable components and third-party integrations for AI application development.
When NOT to use langchain
- If you prefer a framework that does not offer built-in capabilities for common usage patterns such as planning and subagents, as LangChain's Deep Agents provide these features.
- When you need a higher-level abstraction that does not require detailed agent orchestration, as LangChain's LangGraph is designed for low-level control over agent workflows.
Choose LangGPT if…
- LangGPT is primarily Jupyter Notebook; langchain is Python.
- License: LangGPT is Apache-2.0, langchain is MIT.
- Tags unique to LangGPT: chatgpt, claude, deeplearning, gemini.
- Also covers Developer Tools, Model Training.
- You need advanced tools to create structured prompts for robust training setups
When NOT to use LangGPT
- The project requires simple prompt creation, not leveraging structured or meta-prompt designs
- Your team lacks expertise in Jupyter Notebook as a development environment
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langchain-ai/langchain) · observed Sep 20, 2026
- GitHub forks (langchain-ai/langchain) · observed Sep 20, 2026
- Last push (langchain-ai/langchain) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (langgptai/LangGPT) · observed Sep 20, 2026
- GitHub forks (langgptai/LangGPT) · observed Sep 20, 2026
- Last push (langgptai/LangGPT) · observed Sep 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langchain 147k · LangGPT 13k (synced Sep 20, 2026).
Common questions
- What is the difference between langchain and LangGPT?
- langchain: The agent engineering platform.. LangGPT: A pioneering framework for structured & meta-prompt design. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain over LangGPT?
- Choose langchain over LangGPT when langchain is primarily Python; LangGPT is Jupyter Notebook; License: langchain is MIT, LangGPT is Apache-2.0; Tags unique to langchain: agents, ai-agents, langchain, multiagent; Also covers AI Agents, LLM Frameworks; When you need a framework that simplifies chaining together interoperable components and third-party integrations for AI application development.
- When should I choose LangGPT over langchain?
- Choose LangGPT over langchain when LangGPT is primarily Jupyter Notebook; langchain is Python; License: LangGPT is Apache-2.0, langchain is MIT; Tags unique to LangGPT: chatgpt, claude, deeplearning, gemini; Also covers Developer Tools, Model Training; You need advanced tools to create structured prompts for robust training setups.
- When should I avoid langchain?
- If you prefer a framework that does not offer built-in capabilities for common usage patterns such as planning and subagents, as LangChain's Deep Agents provide these features. When you need a higher-level abstraction that does not require detailed agent orchestration, as LangChain's LangGraph is designed for low-level control over agent workflows.
- When should I avoid LangGPT?
- The project requires simple prompt creation, not leveraging structured or meta-prompt designs Your team lacks expertise in Jupyter Notebook as a development environment
- Is langchain or LangGPT more popular on GitHub?
- langchain has more GitHub stars (146,576 vs 12,539). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain and LangGPT open source?
- Yes - both are open-source projects on GitHub (langchain: MIT, LangGPT: Apache-2.0).
- Where can I find alternatives to langchain or LangGPT?
- GraphCanon lists graph-backed alternatives at langchain alternatives and LangGPT alternatives (langchain markdown twin, LangGPT 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 or LangGPT?
- langchain: Very active. LangGPT: 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 and LangGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain trust report; LangGPT trust report.