Home/Compare/autogen vs annotateai

Comparison

autogen vs annotateai

Verdict

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

Markdown twin · autogen alternatives · annotateai alternatives

GraphCanon updated today

autogen logo

autogen

microsoft/autogen

60kpushed Apr 15, 2026
vs
annotateai logo

annotateai

neuml/annotateai

420pushed May 5, 2026

Trust & integrity

Signalautogenannotateai
Maintenance
Steady (87d since push)
As of today · github_public_v1
Steady (66d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

autogen
A programming framework for agentic AI
annotateai
📝 Automatically annotate papers using LLMs

Stars

autogen
60k
annotateai
420

Forks

autogen
9.0k
annotateai
42

Open issues

autogen
945
annotateai
0

Language

autogen
Python
annotateai
Python

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.
annotateai
-

Persona

autogen
-
annotateai
-

Runtime

autogen
-
annotateai
-

License

autogen
CC-BY-4.0
annotateai
Apache-2.0

Last pushed

autogen
Apr 15, 2026
annotateai
May 5, 2026

Categories

autogen
AI Agents, LLM Frameworks
annotateai
LLM Frameworks, Vector Databases

Trust and health

Days since push

autogen
87d
annotateai
66d

Open issues (now)

autogen
945
annotateai
0

Full report

annotateai
Trust report

Choose autogen if…

  • License: autogen is CC-BY-4.0, annotateai 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: 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 annotateai if…

  • License: annotateai is Apache-2.0, autogen is CC-BY-4.0.
  • Tags unique to annotateai: medical, llm, artificial-intelligence, nlp.
  • Also covers Vector Databases.

When NOT to use annotateai

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

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 · annotateai 420 (synced Jul 11, 2026).

Common questions

What is the difference between autogen and annotateai?
autogen: A programming framework for agentic AI. annotateai: 📝 Automatically annotate papers using LLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose autogen over annotateai?
Choose autogen over annotateai when License: autogen is CC-BY-4.0, annotateai 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: 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 annotateai over autogen?
Choose annotateai over autogen when License: annotateai is Apache-2.0, autogen is CC-BY-4.0; Tags unique to annotateai: medical, llm, artificial-intelligence, nlp; Also covers Vector Databases.
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 annotateai?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Is autogen or annotateai more popular on GitHub?
autogen has more GitHub stars (59,658 vs 420). Stars measure visibility, not whether either tool fits your constraints.
Are autogen and annotateai open source?
Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, annotateai: Apache-2.0).
Where can I find alternatives to autogen or annotateai?
GraphCanon lists graph-backed alternatives at autogen alternatives and annotateai alternatives (autogen markdown twin, annotateai 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 annotateai?
autogen: Steady. annotateai: 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 annotateai?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; annotateai trust report.