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Comparison

autogen vs automem

Verdict

Pick autogen when license: autogen is CC-BY-4.0, automem is MIT; pick automem when license: automem is MIT, autogen is CC-BY-4.0.

Markdown twin · autogen alternatives · automem alternatives

GraphCanon updated today

autogen logo

autogen

microsoft/autogen

★ 60kpushed Apr 15, 2026
vs
automem logo

automem

verygoodplugins/automem

★ 777pushed Jul 7, 2026

Trust & integrity

Signalautogenautomem
Maintenance
Steady (87d since push)
As of today · github_public_v1
Very active (3d 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
autogen trust reportautomem trust reportTrust methodology

Tagline

autogen
A programming framework for agentic AI
automem
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:

Stars

autogen
60k
automem
777

Forks

autogen
9.0k
automem
98

Open issues

autogen
945
automem
12

Language

autogen
Python
automem
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.
automem
-

Persona

autogen
-
automem
-

Runtime

autogen
-
automem
-

License

autogen
CC-BY-4.0
automem
MIT

Last pushed

autogen
Apr 15, 2026
automem
Jul 7, 2026

Categories

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

Trust and health

Maintenance

autogen
Steady (60%)
automem
Very active (96%)

Days since push

autogen
87d
automem
3d

Open issues (now)

autogen
945
automem
12

Full report

autogen
Trust report
automem
Trust report

Choose autogen if…

  • License: autogen is CC-BY-4.0, automem 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.
GitHubDetails

Choose automem if…

  • License: automem is MIT, autogen is CC-BY-4.0.
  • Tags unique to automem: memory, qdrant, falkordb, llm.
  • Also covers Vector Databases.

When NOT to use automem

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

Explore

autogen trust report →automem trust report →AI Agents category →LLM Frameworks category →Vector Databases category →All comparisonsStack workflowsTrending tools

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 · automem 777 (synced Jul 11, 2026).

Common questions

What is the difference between autogen and automem?
autogen: A programming framework for agentic AI. automem: AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:. See the comparison table for live GitHub stats and shared categories.
When should I choose autogen over automem?
Choose autogen over automem when License: autogen is CC-BY-4.0, automem 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 automem over autogen?
Choose automem over autogen when License: automem is MIT, autogen is CC-BY-4.0; Tags unique to automem: memory, qdrant, falkordb, llm; 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 automem?
Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is autogen or automem more popular on GitHub?
autogen has more GitHub stars (59,658 vs 777). Stars measure visibility, not whether either tool fits your constraints.
Are autogen and automem open source?
Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, automem: MIT).
Where can I find alternatives to autogen or automem?
GraphCanon lists graph-backed alternatives at autogen alternatives and automem alternatives (autogen markdown twin, automem 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 automem?
autogen: Steady. automem: Very active. 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 automem?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; automem trust report.