Home/Compare/autogen vs llm-chain

Comparison

autogen vs llm-chain

Verdict

Pick autogen when autogen is primarily Python; llm-chain is Rust; pick llm-chain when llm-chain is primarily Rust; autogen is Python.

Markdown twin · autogen alternatives · llm-chain alternatives

GraphCanon updated today

autogen logo

autogen

microsoft/autogen

60kpushed Apr 15, 2026
vs
llm-chain logo

llm-chain

sobelio/llm-chain

1.6kpushed Oct 31, 2024

Trust & integrity

Signalautogenllm-chain
Maintenance
Steady (87d since push)
As of today · github_public_v1
Dormant (617d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of 1d · none

Tagline

autogen
A programming framework for agentic AI
llm-chain
`llm-chain` is a powerful rust crate for building chains in large language models allowing you to summarise text and complete complex tasks

Stars

autogen
60k
llm-chain
1.6k

Forks

autogen
9.0k
llm-chain
142

Open issues

autogen
945
llm-chain
41

Language

autogen
Python
llm-chain
Rust

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.
llm-chain
-

Persona

autogen
-
llm-chain
-

Runtime

autogen
-
llm-chain
-

License

autogen
CC-BY-4.0
llm-chain
MIT

Last pushed

autogen
Apr 15, 2026
llm-chain
Oct 31, 2024

Categories

autogen
AI Agents, LLM Frameworks
llm-chain
LLM Frameworks

Trust and health

Maintenance

autogen
Steady (60%)
llm-chain
Dormant (18%)

Days since push

autogen
87d
llm-chain
617d

Open issues (now)

autogen
945
llm-chain
41

Full report

llm-chain
Trust report

Choose autogen if…

  • autogen is primarily Python; llm-chain is Rust.
  • License: autogen is CC-BY-4.0, llm-chain 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: agentic-agi, agents, ai, autogen.
  • 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 llm-chain if…

  • llm-chain is primarily Rust; autogen is Python.
  • License: llm-chain is MIT, autogen is CC-BY-4.0.
  • Tags unique to llm-chain: langchain, llama, llm, openai.

When NOT to use llm-chain

  • Last GitHub push was 618 days ago (dormant maintenance, Oct 31, 2024). Validate activity before betting a new project on llm-chain.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: autogen 60k · llm-chain 1.6k (synced Jul 11, 2026).

Common questions

What is the difference between autogen and llm-chain?
autogen: A programming framework for agentic AI. llm-chain: llm-chain is a powerful rust crate for building chains in large language models allowing you to summarise text and complete complex tasks. See the comparison table for live GitHub stats and shared categories.
When should I choose autogen over llm-chain?
Choose autogen over llm-chain when autogen is primarily Python; llm-chain is Rust; License: autogen is CC-BY-4.0, llm-chain 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: agentic-agi, agents, ai, autogen; 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 llm-chain over autogen?
Choose llm-chain over autogen when llm-chain is primarily Rust; autogen is Python; License: llm-chain is MIT, autogen is CC-BY-4.0; Tags unique to llm-chain: langchain, llama, llm, openai.
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 llm-chain?
Last GitHub push was 618 days ago (dormant maintenance, Oct 31, 2024). Validate activity before betting a new project on llm-chain. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is autogen or llm-chain more popular on GitHub?
autogen has more GitHub stars (59,658 vs 1,601). Stars measure visibility, not whether either tool fits your constraints.
Are autogen and llm-chain open source?
Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, llm-chain: MIT).
Where can I find alternatives to autogen or llm-chain?
GraphCanon lists graph-backed alternatives at autogen alternatives and llm-chain alternatives (autogen markdown twin, llm-chain 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 llm-chain?
autogen: Steady. llm-chain: Dormant. 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 llm-chain?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; llm-chain trust report.