Home/Compare/langchain vs langchaingo

Comparison

langchain vs langchaingo

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 langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.

Markdown twin · langchain alternatives · langchaingo alternatives

GraphCanon updated Sep 30, 2026

18views this month

langchain logo

langchain

langchain-ai/langchain

★ 147kpushed Sep 18, 2026
vs
langchaingo logo

langchaingo

tmc/langchaingo

★ 9.7kpushed Jan 11, 2026

Trust & integrity

Signallangchainlangchaingo
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (239d since push)
As of Sep 7, 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 7, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
Published findings
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.
langchaingo
LangChain for Go, the easiest way to write LLM-based programs in Go

Stars

langchain
147k
langchaingo
9.7k

Forks

langchain
25k
langchaingo
1.1k

Open issues

langchain
541
langchaingo
413

Language

langchain
Python
langchaingo
Go

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.
langchaingo
LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.

Persona

langchain
-
langchaingo
-

Runtime

langchain
-
langchaingo
-

License

langchain
MIT
langchaingo
MIT

Last pushed

langchain
Sep 18, 2026
langchaingo
Jan 11, 2026

Categories

langchain
AI Agents, LLM Frameworks
langchaingo
Developer Tools, LLM Frameworks

Trust and health

Maintenance

langchain
Very active (96%)
langchaingo
Slowing (36%)

Days since push

langchain
0d
langchaingo
239d

Open issues (now)

langchain
541
langchaingo
413

Stars delta

langchain
+3.0k (30d)
langchaingo
+70 (30d)

Open issues delta

langchain
+78 (30d)
langchaingo
+3 (30d)

Owner type

langchain
Organization
langchaingo
User

OSV dependency advisories

langchain
No lockfile (source not queried)
langchaingo
Published findings

Full report

langchain
Trust report
langchaingo
Trust report

Typed relationship

langchain alternative langchaingoLangChainGo provides LangChain functionality in Go language, which is an alternative platform for LLM-powered applications.

Shared compatibility

  • LangChain · langchain: LangChain integration · langchaingo: LangChain integration

Choose langchain if…

  • langchain is primarily Python; langchaingo is Go.
  • LangChainGo provides LangChain functionality in Go language, which is an alternative platform for LLM-powered applications.
  • Tags unique to langchain: agents, ai-agents, framework, multiagent.
  • Also covers AI Agents.
  • 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 langchaingo if…

  • langchaingo is primarily Go; langchain is Python.
  • LangChainGo provides LangChain functionality in Go language, which is an alternative platform for LLM-powered applications.
  • Tags unique to langchaingo: ai, go, golang.
  • Also covers Developer Tools.
  • - You are working on a project that requires LLM-based capabilities, but prefer to code in Go.

When NOT to use langchaingo

  • - If your project strictly adheres to another programming language where other implementations of LangChain are available.
  • - When your application requires heavy customization at the framework level that might not be directly supported within LangChainGo’s current implementation.

Explore

Sources

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

GitHub stars on cards: langchain 147k · langchaingo 9.7k (synced Sep 20, 2026).

Common questions

What is the difference between langchain and langchaingo?
langchain: The agent engineering platform.. langchaingo: LangChain for Go, the easiest way to write LLM-based programs in Go. See the comparison table for live GitHub stats and shared categories.
When should I choose langchain over langchaingo?
Choose langchain over langchaingo when langchain is primarily Python; langchaingo is Go; LangChainGo provides LangChain functionality in Go language, which is an alternative platform for LLM-powered applications; Tags unique to langchain: agents, ai-agents, framework, multiagent; Also covers AI Agents; When you need a framework that simplifies chaining together interoperable components and third-party integrations for AI application development.
When should I choose langchaingo over langchain?
Choose langchaingo over langchain when langchaingo is primarily Go; langchain is Python; LangChainGo provides LangChain functionality in Go language, which is an alternative platform for LLM-powered applications; Tags unique to langchaingo: ai, go, golang; Also covers Developer Tools; - You are working on a project that requires LLM-based capabilities, but prefer to code in Go.
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 langchaingo?
- If your project strictly adheres to another programming language where other implementations of LangChain are available. - When your application requires heavy customization at the framework level that might not be directly supported within LangChainGo’s current implementation.
Is langchain or langchaingo more popular on GitHub?
langchain has more GitHub stars (146,576 vs 9,670). Stars measure visibility, not whether either tool fits your constraints.
Are langchain and langchaingo open source?
Yes - both are open-source projects on GitHub (langchain: MIT, langchaingo: MIT).
Where can I find alternatives to langchain or langchaingo?
GraphCanon lists graph-backed alternatives at langchain alternatives and langchaingo alternatives (langchain markdown twin, langchaingo 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 langchaingo?
langchain: Very active. langchaingo: Slowing. 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 langchaingo?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain trust report; langchaingo trust report.

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