Comparison
langchain vs AutoGPT
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 AutoGPT if autoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Markdown twin · langchain alternatives · AutoGPT alternatives
GraphCanon updated Sep 30, 2026
21views this month
Trust & integrity
| Signal | langchain | AutoGPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 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 18, 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 Sep 18, 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.
- AutoGPT
- Accessible AI for everyone, providing tools for focus on what matters
Stars
- langchain
- 147k
- AutoGPT
- 187k
Forks
- langchain
- 25k
- AutoGPT
- 46k
Open issues
- langchain
- 541
- AutoGPT
- 593
Language
- langchain
- Python
- AutoGPT
- Python
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.
- AutoGPT
- AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Persona
- langchain
- -
- AutoGPT
- -
Runtime
- langchain
- -
- AutoGPT
- -
License
- langchain
- MIT
- AutoGPT
- AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all
Last pushed
- langchain
- Sep 18, 2026
- AutoGPT
- Sep 18, 2026
Categories
- langchain
- AI Agents, LLM Frameworks
- AutoGPT
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- langchain
- 541
- AutoGPT
- 593
Stars delta
- langchain
- +3.0k (30d)
- AutoGPT
- +801 (30d)
Open issues delta
- langchain
- +78 (30d)
- AutoGPT
- +76 (30d)
Full report
- langchain
- Trust report
- AutoGPT
- Trust report
Typed relationship
Choose langchain if…
- License: langchain is MIT, AutoGPT is Other.
- The concept of continuous AI agents in AutoGPT can benefit from integrating with LangChain to leverage its robust agent engineering capabilities and frameworks for better agent management and development.
- Tags unique to langchain: ai-agents, framework, langchain, multiagent.
- Also covers 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 AutoGPT if…
- License: AutoGPT is Other, langchain is MIT.
- The concept of continuous AI agents in AutoGPT can benefit from integrating with LangChain to leverage its robust agent engineering capabilities and frameworks for better agent management and development.
- Tags unique to AutoGPT: agentic-ai, ai, artificial-intelligence, autonomous-agents.
- Also covers Developer Tools.
- When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
When NOT to use AutoGPT
- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment.
- When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you.
- If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
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 (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: langchain 147k · AutoGPT 187k (synced Sep 20, 2026).
Common questions
- What is the difference between langchain and AutoGPT?
- langchain: The agent engineering platform.. AutoGPT: Accessible AI for everyone, providing tools for focus on what matters. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain over AutoGPT?
- Choose langchain over AutoGPT when License: langchain is MIT, AutoGPT is Other; The concept of continuous AI agents in AutoGPT can benefit from integrating with LangChain to leverage its robust agent engineering capabilities and frameworks for better agent management and development; Tags unique to langchain: ai-agents, framework, langchain, multiagent; Also covers 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 AutoGPT over langchain?
- Choose AutoGPT over langchain when License: AutoGPT is Other, langchain is MIT; The concept of continuous AI agents in AutoGPT can benefit from integrating with LangChain to leverage its robust agent engineering capabilities and frameworks for better agent management and development; Tags unique to AutoGPT: agentic-ai, ai, artificial-intelligence, autonomous-agents; Also covers Developer Tools; When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
- 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 AutoGPT?
- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment. When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you. If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
- Is langchain or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (187,424 vs 146,576). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain and AutoGPT open source?
- Yes - both are open-source projects on GitHub (langchain: MIT, AutoGPT: Other).
- Where can I find alternatives to langchain or AutoGPT?
- GraphCanon lists graph-backed alternatives at langchain alternatives and AutoGPT alternatives (langchain markdown twin, AutoGPT 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 AutoGPT?
- langchain: Very active. AutoGPT: 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 langchain and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain trust report; AutoGPT trust report.