Home/Compare/langchain vs AutoGPT

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

langchain logo

langchain

langchain-ai/langchain

★ 147kpushed Sep 18, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

★ 187kpushed Sep 18, 2026

Trust & integrity

SignallangchainAutoGPT
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

Typed relationship

langchain integrates AutoGPTThe 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.

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 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.

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