Comparison
autogen vs plexiglass
Verdict
Pick autogen when license: autogen is CC-BY-4.0, plexiglass is Apache-2.0; pick plexiglass when license: plexiglass is Apache-2.0, autogen is CC-BY-4.0.
Markdown twin · autogen alternatives · plexiglass alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | autogen | plexiglass |
|---|---|---|
| Maintenance | Steady (87d since push) As of today · github_public_v1 | Slowing (157d 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
- plexiglass
- A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).
Stars
- autogen
- 60k
- plexiglass
- 153
Forks
- autogen
- 9.0k
- plexiglass
- 18
Open issues
- autogen
- 945
- plexiglass
- 0
Language
- autogen
- Python
- plexiglass
- 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.
- plexiglass
- -
Persona
- autogen
- -
- plexiglass
- -
Runtime
- autogen
- -
- plexiglass
- -
License
- autogen
- CC-BY-4.0
- plexiglass
- Apache-2.0
Last pushed
- autogen
- Apr 15, 2026
- plexiglass
- Feb 4, 2026
Categories
- autogen
- LLM Frameworks, AI Agents
- plexiglass
- LLM Frameworks, Developer Tools
Trust and health
Maintenance
- autogen
- Steady (60%)
- plexiglass
- Slowing (36%)
Days since push
- autogen
- 87d
- plexiglass
- 157d
Open issues (now)
- autogen
- 945
- plexiglass
- 0
Full report
- autogen
- Trust report
- plexiglass
- Trust report
Shared compatibility
- Python · autogen: Python runtime · plexiglass: Python runtime
Choose autogen if…
- License: autogen is CC-BY-4.0, plexiglass 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, 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.
Choose plexiglass if…
- License: plexiglass is Apache-2.0, autogen is CC-BY-4.0.
- Tags unique to plexiglass: adversarial-attacks, deep-learning, machine-learning, cybersecurity.
- Also covers Developer Tools.
When NOT to use plexiglass
- Last GitHub push was 157 days ago (slowing maintenance, Feb 4, 2026). Validate activity before betting a new project on plexiglass.
- 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 (microsoft/autogen) · observed Jul 11, 2026
- GitHub forks (microsoft/autogen) · observed Jul 11, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (safellama/plexiglass) · observed Jul 11, 2026
- GitHub forks (safellama/plexiglass) · observed Jul 11, 2026
- Last push (safellama/plexiglass) · observed Feb 4, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autogen 60k · plexiglass 153 (synced Jul 11, 2026).
Common questions
- What is the difference between autogen and plexiglass?
- autogen: A programming framework for agentic AI. plexiglass: A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).. See the comparison table for live GitHub stats and shared categories.
- When should I choose autogen over plexiglass?
- Choose autogen over plexiglass when License: autogen is CC-BY-4.0, plexiglass 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, 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 choose plexiglass over autogen?
- Choose plexiglass over autogen when License: plexiglass is Apache-2.0, autogen is CC-BY-4.0; Tags unique to plexiglass: adversarial-attacks, deep-learning, machine-learning, cybersecurity; 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 plexiglass?
- Last GitHub push was 157 days ago (slowing maintenance, Feb 4, 2026). Validate activity before betting a new project on plexiglass. 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 plexiglass more popular on GitHub?
- autogen has more GitHub stars (59,658 vs 153). Stars measure visibility, not whether either tool fits your constraints.
- Are autogen and plexiglass open source?
- Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, plexiglass: Apache-2.0).
- Where can I find alternatives to autogen or plexiglass?
- GraphCanon lists graph-backed alternatives at autogen alternatives and plexiglass alternatives (autogen markdown twin, plexiglass 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 plexiglass?
- autogen: Steady. plexiglass: 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 autogen and plexiglass?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; plexiglass trust report.