Comparison
autogen vs langchaingo
Verdict
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; pick langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.
Markdown twin · autogen alternatives · langchaingo alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | autogen | langchaingo |
|---|---|---|
| Maintenance | Steady (87d since push) As of today · github_public_v1 | Slowing (180d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 22 low (22 low) As of today · osv@v1 |
Tagline
- autogen
- A programming framework for agentic AI
- langchaingo
- LangChain for Go, the easiest way to write LLM-based programs in Go
Stars
- autogen
- 60k
- langchaingo
- 9.5k
Forks
- autogen
- 9.0k
- langchaingo
- 1.1k
Open issues
- autogen
- 945
- langchaingo
- 404
Language
- autogen
- Python
- langchaingo
- Go
Adopt for
- 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.
- langchaingo
- LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.
Persona
- autogen
- -
- langchaingo
- -
Runtime
- autogen
- -
- langchaingo
- -
License
- autogen
- CC-BY-4.0
- langchaingo
- MIT
Last pushed
- autogen
- Apr 15, 2026
- langchaingo
- Jan 11, 2026
Categories
- autogen
- AI Agents, LLM Frameworks
- langchaingo
- LLM Frameworks, Developer Tools
Trust and health
Maintenance
- autogen
- Steady (60%)
- langchaingo
- Slowing (36%)
Days since push
- autogen
- 87d
- langchaingo
- 180d
Open issues (now)
- autogen
- 945
- langchaingo
- 404
Owner type
- autogen
- Organization
- langchaingo
- User
Security scan
- autogen
- No lockfile
- langchaingo
- 22 low (22 low)
Full report
- autogen
- Trust report
- langchaingo
- Trust report
Choose autogen if…
- autogen is primarily Python; langchaingo is Go.
- License: autogen is CC-BY-4.0, langchaingo 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..
- Tags unique to autogen: llm-framework, autogen, agents, agentic-agi.
- Also covers AI Agents.
- 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.
Choose langchaingo if…
- langchaingo is primarily Go; autogen is Python.
- License: langchaingo is MIT, autogen is CC-BY-4.0.
- Tags unique to langchaingo: go, langchain, golang.
- 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 (microsoft/autogen) · observed Jul 11, 2026
- GitHub forks (microsoft/autogen) · observed Jul 11, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tmc/langchaingo) · observed Jul 11, 2026
- GitHub forks (tmc/langchaingo) · observed Jul 11, 2026
- Last push (tmc/langchaingo) · observed Jan 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autogen 60k · langchaingo 9.5k (synced Jul 11, 2026).
Common questions
- What is the difference between autogen and langchaingo?
- autogen: A programming framework for agentic AI. 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 autogen over langchaingo?
- Choose autogen over langchaingo when autogen is primarily Python; langchaingo is Go; License: autogen is CC-BY-4.0, langchaingo 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.; Tags unique to autogen: llm-framework, autogen, agents, agentic-agi; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
- When should I choose langchaingo over autogen?
- Choose langchaingo over autogen when langchaingo is primarily Go; autogen is Python; License: langchaingo is MIT, autogen is CC-BY-4.0; Tags unique to langchaingo: go, langchain, golang; 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 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. - 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 autogen or langchaingo more popular on GitHub?
- autogen has more GitHub stars (59,658 vs 9,527). Stars measure visibility, not whether either tool fits your constraints.
- Are autogen and langchaingo open source?
- Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, langchaingo: MIT).
- Where can I find alternatives to autogen or langchaingo?
- GraphCanon lists graph-backed alternatives at autogen alternatives and langchaingo alternatives (autogen 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, autogen or langchaingo?
- autogen: Steady. 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 autogen and langchaingo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; langchaingo trust report.