Home/Compare/autogen vs jadx-ai-mcp

Comparison

autogen vs jadx-ai-mcp

Verdict

Pick autogen when autogen is primarily Python; jadx-ai-mcp is Java; pick jadx-ai-mcp when jadx-ai-mcp is primarily Java; autogen is Python.

Markdown twin · autogen alternatives · jadx-ai-mcp alternatives

GraphCanon updated today

autogen logo

autogen

microsoft/autogen

60kpushed Apr 15, 2026
vs
jadx-ai-mcp logo

jadx-ai-mcp

zinja-coder/jadx-ai-mcp

2.5kpushed May 28, 2026

Trust & integrity

Signalautogenjadx-ai-mcp
Maintenance
Steady (87d since push)
As of today · github_public_v1
Steady (43d 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 today · none
No MCP manifest
As of today · mcp_manifest

Tagline

autogen
A programming framework for agentic AI
jadx-ai-mcp
Plugin for JADX to integrate MCP server

Stars

autogen
60k
jadx-ai-mcp
2.5k

Forks

autogen
9.0k
jadx-ai-mcp
232

Open issues

autogen
945
jadx-ai-mcp
8

Language

autogen
Python
jadx-ai-mcp
Java

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.
jadx-ai-mcp
-

Persona

autogen
-
jadx-ai-mcp
-

Runtime

autogen
-
jadx-ai-mcp
-

License

autogen
CC-BY-4.0
jadx-ai-mcp
Apache-2.0

Last pushed

autogen
Apr 15, 2026
jadx-ai-mcp
May 28, 2026

Categories

autogen
LLM Frameworks, AI Agents
jadx-ai-mcp
LLM Frameworks, Developer Tools

Trust and health

Days since push

autogen
87d
jadx-ai-mcp
43d

Open issues (now)

autogen
945
jadx-ai-mcp
8

Owner type

autogen
Organization
jadx-ai-mcp
User

Security scan

autogen
No lockfile
jadx-ai-mcp
No MCP manifest

Full report

jadx-ai-mcp
Trust report

Choose autogen if…

  • autogen is primarily Python; jadx-ai-mcp is Java.
  • License: autogen is CC-BY-4.0, jadx-ai-mcp 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 jadx-ai-mcp if…

  • jadx-ai-mcp is primarily Java; autogen is Python.
  • License: jadx-ai-mcp is Apache-2.0, autogen is CC-BY-4.0.
  • Tags unique to jadx-ai-mcp: mcp-server, llm, model-context-protocol, mobile.
  • Also covers Developer Tools.

When NOT to use jadx-ai-mcp

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

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 · jadx-ai-mcp 2.5k (synced Jul 11, 2026).

Common questions

What is the difference between autogen and jadx-ai-mcp?
autogen: A programming framework for agentic AI. jadx-ai-mcp: Plugin for JADX to integrate MCP server. See the comparison table for live GitHub stats and shared categories.
When should I choose autogen over jadx-ai-mcp?
Choose autogen over jadx-ai-mcp when autogen is primarily Python; jadx-ai-mcp is Java; License: autogen is CC-BY-4.0, jadx-ai-mcp 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 jadx-ai-mcp over autogen?
Choose jadx-ai-mcp over autogen when jadx-ai-mcp is primarily Java; autogen is Python; License: jadx-ai-mcp is Apache-2.0, autogen is CC-BY-4.0; Tags unique to jadx-ai-mcp: mcp-server, llm, model-context-protocol, mobile; Also covers Developer Tools.
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 jadx-ai-mcp?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Is autogen or jadx-ai-mcp more popular on GitHub?
autogen has more GitHub stars (59,658 vs 2,463). Stars measure visibility, not whether either tool fits your constraints.
Are autogen and jadx-ai-mcp open source?
Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, jadx-ai-mcp: Apache-2.0).
Where can I find alternatives to autogen or jadx-ai-mcp?
GraphCanon lists graph-backed alternatives at autogen alternatives and jadx-ai-mcp alternatives (autogen markdown twin, jadx-ai-mcp 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 jadx-ai-mcp?
autogen: Steady. jadx-ai-mcp: 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 jadx-ai-mcp?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; jadx-ai-mcp trust report.