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Comparison

langchain vs LangGPT

Verdict

Pick langchain if langChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect; pick LangGPT if langGPT: A structured & meta-prompt design framework.

Markdown twin · langchain alternatives · LangGPT alternatives

GraphCanon updated 2w

langchain logo

langchain

langchain-ai/langchain

★ 144kpushed Aug 7, 2026
vs
LangGPT logo

LangGPT

langgptai/LangGPT

★ 12kpushed Jul 16, 2026

Trust & integrity

SignallangchainLangGPT
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Active (11d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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
langchain trust reportLangGPT trust reportTrust methodology

Tagline

langchain
The agent engineering platform.
LangGPT
A pioneering framework for structured & meta-prompt design

Stars

langchain
144k
LangGPT
12k

Forks

langchain
24k
LangGPT
936

Open issues

langchain
463
LangGPT
0

Language

langchain
Python
LangGPT
Jupyter Notebook

Adopt for

langchain
LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect
LangGPT
LangGPT: A structured & meta-prompt design framework.

Persona

langchain
-
LangGPT
-

Runtime

langchain
-
LangGPT
-

License

langchain
MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.
LangGPT
Apache-2.0

Last pushed

langchain
Aug 7, 2026
LangGPT
Jul 16, 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
11d

Open issues (now)

langchain
463
LangGPT
0

Stars delta

langchain
+2.3k (30d)
LangGPT
Unknown

Open issues delta

langchain
+57 (30d)
LangGPT
Unknown

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.
  • Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI..
  • Tags unique to langchain: agents, ai-agents, anthropic, deepagents.
  • Also covers AI Agents, LLM Frameworks.
  • * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.

When NOT to use langchain

  • * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity.
  • * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth
  • * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
GitHubDetails

Choose LangGPT if…

  • LangGPT is primarily Jupyter Notebook; langchain is Python.
  • License: LangGPT is Apache-2.0, langchain is MIT.
  • Tags unique to LangGPT: claude, deeplearning, framework, gpt-4.
  • 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
GitHubDetails

Explore

langchain trust report →LangGPT trust report →AI Agents category →LLM Frameworks category →Developer Tools category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: langchain 144k · LangGPT 12k (synced Aug 7, 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; Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Tags unique to langchain: agents, ai-agents, anthropic, deepagents; Also covers AI Agents, LLM Frameworks; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
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: claude, deeplearning, framework, gpt-4; Also covers Developer Tools, Model Training; You need advanced tools to create structured prompts for robust training setups.
When should I avoid langchain?
* When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
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 (143,615 vs 12,378). 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.

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