Comparison
12-factor-agents vs langchain
Verdict
Pick 12-factor-agents if a TypeScript-based framework focused on applying 12-factor principles to build production-ready software with large language models; 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.
Markdown twin · 12-factor-agents alternatives · langchain alternatives
GraphCanon updated today
Trust & integrity
| Signal | 12-factor-agents | langchain |
|---|---|---|
| Maintenance | Slowing (330d since push) As of today · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1w · 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 |
Tagline
- 12-factor-agents
- Principles for building production-ready LLM-powered software
- langchain
- The agent engineering platform.
Stars
- 12-factor-agents
- 25k
- langchain
- 144k
Forks
- 12-factor-agents
- 1.9k
- langchain
- 24k
Open issues
- 12-factor-agents
- 26
- langchain
- 463
Language
- 12-factor-agents
- TypeScript
- langchain
- Python
Adopt for
- 12-factor-agents
- A TypeScript-based framework focused on applying 12-factor principles to build production-ready software with large language models.
- 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
Persona
- 12-factor-agents
- -
- langchain
- -
Runtime
- 12-factor-agents
- -
- langchain
- -
License
- 12-factor-agents
- The content and images are licensed under CC BY-SA 4.0, while the code is covered by the Apache 2.0 License.
- langchain
- MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.
Last pushed
- 12-factor-agents
- Sep 21, 2025
- langchain
- Aug 7, 2026
Categories
- 12-factor-agents
- AI Agents, LLM Frameworks
- langchain
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- 12-factor-agents
- Slowing (36%)
- langchain
- Very active (96%)
Days since push
- 12-factor-agents
- 330d
- langchain
- 0d
Open issues (now)
- 12-factor-agents
- 26
- langchain
- 463
Stars delta
- 12-factor-agents
- +966 (30d)
- langchain
- +2.3k (30d)
Open issues delta
- 12-factor-agents
- 0 (30d)
- langchain
- +57 (30d)
Full report
- 12-factor-agents
- Trust report
- langchain
- Trust report
Typed relationship
Choose 12-factor-agents if…
- 12-factor-agents is primarily TypeScript; langchain is Python.
- License: 12-factor-agents is Other, langchain is MIT.
- Pricing: Free to use with open-source licenses.
- Requirements: Min 4 GB RAM; Requires Docker; Requires a solid understanding of TypeScript and familiarity with concepts like prompt engineering and context window management..
- Graph edge: 12-factor-agents is a typed related of langchain - see the relationship row above.
- Tags unique to 12-factor-agents: 12-factor, ai, context-window, framework.
- You are specifically developing AI agents or LLM-powered applications in TypeScript and need a structured guideline grounded in the 12-factor app principles.
When NOT to use 12-factor-agents
- If your project requires languages other than TypeScript or if your application already has a strong foundation not necessarily aligning with the 12-factor app principles.
- When you’re looking for comprehensive deployment automation tools rather than guidance on building LLM-powered agents and ensuring their reliability in production environments.
Choose langchain if…
- langchain is primarily Python; 12-factor-agents is TypeScript.
- License: langchain is MIT, 12-factor-agents is Other.
- 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..
- Graph edge: langchain is a typed related of 12-factor-agents - see the relationship row above.
- Tags unique to langchain: ai-agents, anthropic, chatgpt, deepagents.
- * 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (humanlayer/12-factor-agents) · observed Aug 18, 2026
- GitHub forks (humanlayer/12-factor-agents) · observed Aug 18, 2026
- Last push (humanlayer/12-factor-agents) · observed Sep 21, 2025
- License file (Other) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langchain-ai/langchain) · observed Aug 7, 2026
- GitHub forks (langchain-ai/langchain) · observed Aug 7, 2026
- Last push (langchain-ai/langchain) · observed Aug 7, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: 12-factor-agents 25k · langchain 144k (synced Aug 18, 2026).
Common questions
- What is the difference between 12-factor-agents and langchain?
- 12-factor-agents: Principles for building production-ready LLM-powered software. langchain: The agent engineering platform.. See the comparison table for live GitHub stats and shared categories.
- When should I choose 12-factor-agents over langchain?
- Choose 12-factor-agents over langchain when 12-factor-agents is primarily TypeScript; langchain is Python; License: 12-factor-agents is Other, langchain is MIT; Pricing: Free to use with open-source licenses; Requirements: Min 4 GB RAM; Requires Docker; Requires a solid understanding of TypeScript and familiarity with concepts like prompt engineering and context window management.; Graph edge: 12-factor-agents is a typed related of langchain - see the relationship row above; Tags unique to 12-factor-agents: 12-factor, ai, context-window, framework; You are specifically developing AI agents or LLM-powered applications in TypeScript and need a structured guideline grounded in the 12-factor app principles.
- When should I choose langchain over 12-factor-agents?
- Choose langchain over 12-factor-agents when langchain is primarily Python; 12-factor-agents is TypeScript; License: langchain is MIT, 12-factor-agents is Other; 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.; Graph edge: langchain is a typed related of 12-factor-agents - see the relationship row above; Tags unique to langchain: ai-agents, anthropic, chatgpt, deepagents; * 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 avoid 12-factor-agents?
- If your project requires languages other than TypeScript or if your application already has a strong foundation not necessarily aligning with the 12-factor app principles. When you’re looking for comprehensive deployment automation tools rather than guidance on building LLM-powered agents and ensuring their reliability in production environments.
- 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.
- Is 12-factor-agents or langchain more popular on GitHub?
- langchain has more GitHub stars (143,615 vs 25,353). Stars measure visibility, not whether either tool fits your constraints.
- Are 12-factor-agents and langchain open source?
- Yes - both are open-source projects on GitHub (12-factor-agents: Other, langchain: MIT).
- Where can I find alternatives to 12-factor-agents or langchain?
- GraphCanon lists graph-backed alternatives at 12-factor-agents alternatives and langchain alternatives (12-factor-agents markdown twin, langchain 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, 12-factor-agents or langchain?
- 12-factor-agents: Slowing. langchain: 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 12-factor-agents and langchain?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: 12-factor-agents trust report; langchain trust report.