Comparison
langchain vs langchaingo
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 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 today
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Trust & integrity
| Signal | langchain | langchaingo |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3d · github_public_v1 | Slowing (184d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Personal account As of 2d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 6d · osv@v1 | Published findings As of 6d · 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
- 142k
- langchaingo
- 9.5k
Forks
- langchain
- 24k
- langchaingo
- 1.1k
Open issues
- langchain
- 419
- langchaingo
- 404
Language
- langchain
- Python
- langchaingo
- Go
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
- 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 License, allowing free use for both personal and commercial purposes under its stipulated terms.
- langchaingo
- MIT
Last pushed
- langchain
- Jul 14, 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
- 184d
Open issues (now)
- langchain
- 419
- langchaingo
- 404
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.
- 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..
- LangChainGo provides LangChain functionality in Go language, which is an alternative platform for LLM-powered applications.
- Tags unique to langchain: agents, ai-agents, anthropic, chatgpt.
- Also covers AI Agents.
- * 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.
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, langchain.
- 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 (langchain-ai/langchain) · observed Jul 14, 2026
- GitHub forks (langchain-ai/langchain) · observed Jul 14, 2026
- Last push (langchain-ai/langchain) · observed Jul 14, 2026
- License file (MIT) · observed Jul 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tmc/langchaingo) · observed Jul 15, 2026
- GitHub forks (tmc/langchaingo) · observed Jul 15, 2026
- Last push (tmc/langchaingo) · observed Jan 11, 2026
- License file (MIT) · observed Jul 15, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langchain 142k · langchaingo 9.5k (synced Jul 14, 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; 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.; LangChainGo provides LangChain functionality in Go language, which is an alternative platform for LLM-powered applications; Tags unique to langchain: agents, ai-agents, anthropic, chatgpt; Also covers AI Agents; * 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 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, langchain; 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?
- * 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 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 (141,713 vs 9,538). 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.