Home/Compare/autogen vs llms-tools

Comparison

autogen vs llms-tools

Verdict

Pick autogen when license: autogen is CC-BY-4.0, llms-tools is Apache-2.0; pick llms-tools when license: llms-tools is Apache-2.0, autogen is CC-BY-4.0.

Markdown twin · autogen alternatives · llms-tools alternatives

GraphCanon updated today

autogen logo

autogen

microsoft/autogen

60kpushed Apr 15, 2026
vs
llms-tools logo

llms-tools

PetroIvaniuk/llms-tools

319pushed Jun 1, 2026

Trust & integrity

Signalautogenllms-tools
Maintenance
Steady (87d since push)
As of today · github_public_v1
Steady (39d 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 1d · none
No lockfile
As of today · none

Tagline

autogen
A programming framework for agentic AI
llms-tools
A list of LLMs Tools & Projects

Stars

autogen
60k
llms-tools
319

Forks

autogen
9.0k
llms-tools
46

Open issues

autogen
945
llms-tools
3

Language

autogen
Python
llms-tools
-

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.
llms-tools
-

Persona

autogen
-
llms-tools
-

Runtime

autogen
-
llms-tools
-

License

autogen
CC-BY-4.0
llms-tools
Apache-2.0

Last pushed

autogen
Apr 15, 2026
llms-tools
Jun 1, 2026

Categories

autogen
AI Agents, LLM Frameworks
llms-tools
Evaluation & Observability, LLM Frameworks

Trust and health

Days since push

autogen
87d
llms-tools
39d

Open issues (now)

autogen
945
llms-tools
3

Owner type

autogen
Organization
llms-tools
User

Full report

llms-tools
Trust report

Choose autogen if…

  • License: autogen is CC-BY-4.0, llms-tools is Apache-2.0.
  • 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, autogen, autogen-ecosystem.
  • 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 llms-tools if…

  • License: llms-tools is Apache-2.0, autogen is CC-BY-4.0.
  • Tags unique to llms-tools: chat-bot, chatbots, data-science, llm.
  • Also covers Evaluation & Observability.

When NOT to use llms-tools

  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
  • 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 · llms-tools 319 (synced Jul 11, 2026).

Common questions

What is the difference between autogen and llms-tools?
autogen: A programming framework for agentic AI. llms-tools: A list of LLMs Tools & Projects. See the comparison table for live GitHub stats and shared categories.
When should I choose autogen over llms-tools?
Choose autogen over llms-tools when License: autogen is CC-BY-4.0, llms-tools is Apache-2.0; 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, autogen, autogen-ecosystem; 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 llms-tools over autogen?
Choose llms-tools over autogen when License: llms-tools is Apache-2.0, autogen is CC-BY-4.0; Tags unique to llms-tools: chat-bot, chatbots, data-science, llm; Also covers Evaluation & Observability.
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 llms-tools?
Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is autogen or llms-tools more popular on GitHub?
autogen has more GitHub stars (59,658 vs 319). Stars measure visibility, not whether either tool fits your constraints.
Are autogen and llms-tools open source?
Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, llms-tools: Apache-2.0).
Where can I find alternatives to autogen or llms-tools?
GraphCanon lists graph-backed alternatives at autogen alternatives and llms-tools alternatives (autogen markdown twin, llms-tools 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 llms-tools?
autogen: Steady. llms-tools: Steady. 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 llms-tools?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; llms-tools trust report.