Comparison
adk-python vs autogen
Verdict
Pick adk-python if adk-python provides tools for developing sophisticated AI agents with a focus on flexibility and control, particularly suited for multi-agent systems; pick autogen if autoGen is a Python-based framework for developing agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction.
Markdown twin · adk-python alternatives · autogen alternatives
GraphCanon updated Sep 20, 2026
19views this month
vs
Trust & integrity
| Signal | adk-python | autogen |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 19, 2026 · github_public_v1 | Slowing (155d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- adk-python
- A Python toolkit for building, evaluating, and deploying AI agents
- autogen
- A programming framework for agentic AI
Stars
- adk-python
- 21k
- autogen
- 61k
Forks
- adk-python
- 3.9k
- autogen
- 9.2k
Open issues
- adk-python
- 566
- autogen
- 1.1k
Language
- adk-python
- Python
- autogen
- Python
Adopt for
- adk-python
- adk-python provides tools for developing sophisticated AI agents with a focus on flexibility and control, particularly suited for multi-agent systems.
- autogen
- AutoGen is a Python-based framework for developing agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction.
Persona
- adk-python
- -
- autogen
- -
Runtime
- adk-python
- -
- autogen
- -
License
- adk-python
- adk-python is available under the Apache-2.0 license, allowing both commercial and non-commercial use with appropriate attribution.
- autogen
- CC-BY-4.0
Last pushed
- adk-python
- Aug 18, 2026
- autogen
- Apr 15, 2026
Categories
- adk-python
- AI Agents
- autogen
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- adk-python
- Very active (96%)
- autogen
- Slowing (36%)
Days since push
- adk-python
- 0d
- autogen
- 155d
Open issues (now)
- adk-python
- 566
- autogen
- 1.1k
Stars delta
- adk-python
- +522 (30d)
- autogen
- +897 (30d)
Open issues delta
- adk-python
- -76 (30d)
- autogen
- +105 (30d)
Full report
- adk-python
- Trust report
- autogen
- Trust report
Typed relationship
adk-python alternative autogenAutogen is another multi-agent AI application creation framework like ADK. Both tackle the design, operation and integration of multiple agents in an intelligent system.
Choose adk-python if…
- License: adk-python is Apache-2.0, autogen is CC-BY-4.0.
- Requirements: Requires Python 3.10+ for installation..
- Autogen is another multi-agent AI application creation framework like ADK. Both tackle the design, operation and integration of multiple agents in an intelligent system.
- Tags unique to adk-python: agent, ai-agents, multi-agent-systems.
- You are working on multi-agent systems where multiple AI agents need to collaborate or interact effectively. adk-python offers specific support for defining and orchestrating multi-agent workflows.
When NOT to use adk-python
- If your project does not involve multi-agent interactions or complex orchestration of multiple agents, other frameworks might offer more streamlined solutions.
- You prefer using out-of-the-box solutions with less coding complexity. adk-python's code-first approach is best suited for developers looking to deeply customize agent behavior and interactions.
Choose autogen if…
- License: autogen is CC-BY-4.0, adk-python is Apache-2.0.
- Requirements: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks..
- Autogen is another multi-agent AI application creation framework like ADK. Both tackle the design, operation and integration of multiple agents in an intelligent system.
- Tags unique to autogen: agentic-agi, agents, ai, autogen.
- Also covers LLM Frameworks.
- When you need a structured approach to create and manage AI agents with Python.
When NOT to use autogen
- If your project requires a version of Python earlier than 3.10, as AutoGen is not compatible.
- When you need a framework that does not rely on potentially untrusted MCP servers for execution.
- If your project does not require or benefit from the no-code GUI provided by AutoGen Studio.
- When you prefer a framework that does not involve the complexity of setting up and managing multiple MCP servers.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (google/adk-python) · observed Sep 20, 2026
- GitHub forks (google/adk-python) · observed Sep 20, 2026
- Last push (google/adk-python) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/autogen) · observed Sep 20, 2026
- GitHub forks (microsoft/autogen) · observed Sep 20, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: adk-python 21k · autogen 61k (synced Sep 20, 2026).
Common questions
- What is the difference between adk-python and autogen?
- adk-python: A Python toolkit for building, evaluating, and deploying AI agents. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose adk-python over autogen?
- Choose adk-python over autogen when License: adk-python is Apache-2.0, autogen is CC-BY-4.0; Requirements: Requires Python 3.10+ for installation.; Autogen is another multi-agent AI application creation framework like ADK. Both tackle the design, operation and integration of multiple agents in an intelligent system; Tags unique to adk-python: agent, ai-agents, multi-agent-systems; You are working on multi-agent systems where multiple AI agents need to collaborate or interact effectively. adk-python offers specific support for defining and orchestrating multi-agent workflows.
- When should I choose autogen over adk-python?
- Choose autogen over adk-python when License: autogen is CC-BY-4.0, adk-python is Apache-2.0; Requirements: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks.; Autogen is another multi-agent AI application creation framework like ADK. Both tackle the design, operation and integration of multiple agents in an intelligent system; Tags unique to autogen: agentic-agi, agents, ai, autogen; Also covers LLM Frameworks; When you need a structured approach to create and manage AI agents with Python.
- When should I avoid adk-python?
- If your project does not involve multi-agent interactions or complex orchestration of multiple agents, other frameworks might offer more streamlined solutions. You prefer using out-of-the-box solutions with less coding complexity. adk-python's code-first approach is best suited for developers looking to deeply customize agent behavior and interactions.
- When should I avoid autogen?
- If your project requires a version of Python earlier than 3.10, as AutoGen is not compatible. When you need a framework that does not rely on potentially untrusted MCP servers for execution. If your project does not require or benefit from the no-code GUI provided by AutoGen Studio. When you prefer a framework that does not involve the complexity of setting up and managing multiple MCP servers.
- Is adk-python or autogen more popular on GitHub?
- autogen has more GitHub stars (61,036 vs 21,180). Stars measure visibility, not whether either tool fits your constraints.
- Are adk-python and autogen open source?
- Yes - both are open-source projects on GitHub (adk-python: Apache-2.0, autogen: CC-BY-4.0).
- Where can I find alternatives to adk-python or autogen?
- GraphCanon lists graph-backed alternatives at adk-python alternatives and autogen alternatives (adk-python 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, adk-python or autogen?
- adk-python: Very active. autogen: Slowing. 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 adk-python and autogen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: adk-python trust report; autogen trust report.