Comparison
langchain vs autogen
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 autogen if autoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.
Markdown twin · langchain alternatives · autogen alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | langchain | autogen |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Slowing (107d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · 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
- langchain
- The agent engineering platform.
- autogen
- A programming framework for agentic AI
Stars
- langchain
- 144k
- autogen
- 60k
Forks
- langchain
- 24k
- autogen
- 9.1k
Open issues
- langchain
- 463
- autogen
- 970
Language
- langchain
- Python
- autogen
- Python
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
- autogen
- AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.
Persona
- langchain
- -
- autogen
- -
Runtime
- langchain
- -
- autogen
- -
License
- langchain
- MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.
- autogen
- CC-BY-4.0
Last pushed
- langchain
- Aug 7, 2026
- autogen
- Apr 15, 2026
Categories
- langchain
- AI Agents, LLM Frameworks
- autogen
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- langchain
- Very active (96%)
- autogen
- Slowing (36%)
Days since push
- langchain
- 0d
- autogen
- 107d
Open issues (now)
- langchain
- 463
- autogen
- 970
Stars delta
- langchain
- +2.3k (30d)
- autogen
- Unknown
Open issues delta
- langchain
- +57 (30d)
- autogen
- Unknown
Full report
- langchain
- Trust report
- autogen
- Trust report
Typed relationship
langchain alternative autogenLangChain serves as an alternative to autogen by offering a flexible platform for building both agents and applications powered by large language models (LLMs), emphasizing interoperability and future-proofing. In contrast, autogen is specifically tailored for developing autonomous multi-agent AI systems but has transitioned to maintenance mode, suggesting reduced active development and support.
Shared compatibility
- Python · langchain: Python runtime · autogen: Python runtime
Choose langchain if…
- License: langchain is MIT, autogen is CC-BY-4.0.
- 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..
- LangChain serves as an alternative to autogen by offering a flexible platform for building both agents and applications powered by large language models (LLMs), emphasizing interoperability and future-proofing. In contrast, autogen is specifically tailored for developing autonomous multi-agent AI systems but has transitioned to maintenance mode, suggesting reduced active development and support.
- Tags unique to langchain: ai-agents, anthropic, deepagents, enterprise.
- * 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 autogen if…
- License: autogen is CC-BY-4.0, langchain is MIT.
- Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure..
- LangChain serves as an alternative to autogen by offering a flexible platform for building both agents and applications powered by large language models (LLMs), emphasizing interoperability and future-proofing. In contrast, autogen is specifically tailored for developing autonomous multi-agent AI systems but has transitioned to maintenance mode, suggesting reduced active development and support.
- Tags unique to autogen: agentic-agi, ai, autogen, autogen-ecosystem.
- You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
When NOT to use autogen
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework.
- When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited.
- You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities.
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 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 (microsoft/autogen) · observed Aug 1, 2026
- GitHub forks (microsoft/autogen) · observed Aug 1, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langchain 144k · autogen 60k (synced Aug 7, 2026).
Common questions
- What is the difference between langchain and autogen?
- langchain: The agent engineering platform.. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain over autogen?
- Choose langchain over autogen when License: langchain is MIT, autogen is CC-BY-4.0; 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.; LangChain serves as an alternative to autogen by offering a flexible platform for building both agents and applications powered by large language models (LLMs), emphasizing interoperability and future-proofing. In contrast, autogen is specifically tailored for developing autonomous multi-agent AI systems but has transitioned to maintenance mode, suggesting reduced active development and support; Tags unique to langchain: ai-agents, anthropic, deepagents, enterprise; * 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 autogen over langchain?
- Choose autogen over langchain when License: autogen is CC-BY-4.0, langchain is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; LangChain serves as an alternative to autogen by offering a flexible platform for building both agents and applications powered by large language models (LLMs), emphasizing interoperability and future-proofing. In contrast, autogen is specifically tailored for developing autonomous multi-agent AI systems but has transitioned to maintenance mode, suggesting reduced active development and support; Tags unique to autogen: agentic-agi, ai, autogen, autogen-ecosystem; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
- 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 autogen?
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as
playwright/mcp, as AutoGen requires this setup for certain functionalities. - Is langchain or autogen more popular on GitHub?
- langchain has more GitHub stars (143,615 vs 60,139). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain and autogen open source?
- Yes - both are open-source projects on GitHub (langchain: MIT, autogen: CC-BY-4.0).
- Where can I find alternatives to langchain or autogen?
- GraphCanon lists graph-backed alternatives at langchain alternatives and autogen alternatives (langchain markdown twin, autogen 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 autogen?
- langchain: Very active. autogen: 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 autogen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain trust report; autogen trust report.