Home/Compare/pyCodeAGI vs autogen

Comparison

pyCodeAGI vs autogen

Verdict

Pick pyCodeAGI when tags unique to pyCodeAGI: python; pick autogen when 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..

Markdown twin · pyCodeAGI alternatives · autogen alternatives

GraphCanon updated today

pyCodeAGI logo

pyCodeAGI

chakkaradeep/pyCodeAGI

185pushed May 4, 2023
vs
autogen logo

autogen

microsoft/autogen

60kpushed Apr 15, 2026

Trust & integrity

SignalpyCodeAGIautogen
Maintenance
Dormant (1164d since push)
As of today · github_public_v1
Steady (87d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No criticals
As of today · osv@v1
No lockfile
As of today · none

Tagline

pyCodeAGI
pyCodeAGI
autogen
A programming framework for agentic AI

Stars

pyCodeAGI
185
autogen
60k

Forks

pyCodeAGI
28
autogen
9.0k

Open issues

pyCodeAGI
3
autogen
945

Language

pyCodeAGI
Python
autogen
Python

Adopt for

pyCodeAGI
-
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.

Persona

pyCodeAGI
-
autogen
-

Runtime

pyCodeAGI
-
autogen
-

License

pyCodeAGI
-
autogen
CC-BY-4.0

Last pushed

pyCodeAGI
May 4, 2023
autogen
Apr 15, 2026

Categories

pyCodeAGI
LLM Frameworks
autogen
AI Agents, LLM Frameworks

Trust and health

Maintenance

pyCodeAGI
Dormant (18%)
autogen
Steady (60%)

Days since push

pyCodeAGI
1164d
autogen
87d

Open issues (now)

pyCodeAGI
3
autogen
945

Owner type

pyCodeAGI
User
autogen
Organization

Security scan

pyCodeAGI
No criticals
autogen
No lockfile

Full report

pyCodeAGI
Trust report

Shared compatibility

  • Python · pyCodeAGI: Python runtime · autogen: Python runtime

Choose pyCodeAGI if…

  • Tags unique to pyCodeAGI: python.
  • Leaner open-issue backlog (3).

When NOT to use pyCodeAGI

  • Last GitHub push was 1165 days ago (dormant maintenance, May 4, 2023). Validate activity before betting a new project on pyCodeAGI.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose autogen if…

  • 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, ai.
  • 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.

Explore

Sources

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

GitHub stars on cards: pyCodeAGI 185 · autogen 60k (synced Jul 11, 2026).

Common questions

What is the difference between pyCodeAGI and autogen?
pyCodeAGI: pyCodeAGI. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
When should I choose pyCodeAGI over autogen?
Choose pyCodeAGI over autogen when Tags unique to pyCodeAGI: python; Leaner open-issue backlog (3).
When should I choose autogen over pyCodeAGI?
Choose autogen over pyCodeAGI when 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, ai; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
When should I avoid pyCodeAGI?
Last GitHub push was 1165 days ago (dormant maintenance, May 4, 2023). Validate activity before betting a new project on pyCodeAGI. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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.
Is pyCodeAGI or autogen more popular on GitHub?
autogen has more GitHub stars (59,658 vs 185). Stars measure visibility, not whether either tool fits your constraints.
Are pyCodeAGI and autogen open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to pyCodeAGI or autogen?
GraphCanon lists graph-backed alternatives at pyCodeAGI alternatives and autogen alternatives (pyCodeAGI markdown twin, autogen 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, pyCodeAGI or autogen?
pyCodeAGI: Dormant. autogen: 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 pyCodeAGI and autogen?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pyCodeAGI trust report; autogen trust report.