--- title: "last_layer vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arekusandr-last-layer-vs-microsoft-autogen" tools: ["arekusandr-last-layer", "microsoft-autogen"] --- # last_layer vs autogen *GraphCanon updated Jul 15, 2026* ## Verdict Pick last_layer when license: last_layer is MIT, autogen is CC-BY-4.0; pick autogen when license: autogen is CC-BY-4.0, last_layer is MIT. [last_layer](https://vibe-eval.com) reports 129 GitHub stars, 4 forks, and 13 open issues, last pushed Jul 26, 2024. [autogen](https://microsoft.github.io/autogen/) has 60k stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. Figures are from public GitHub metadata via [last_layer's repository](https://github.com/arekusandr/last_layer) and [autogen's repository](https://github.com/microsoft/autogen). | | [last_layer](/tools/arekusandr-last-layer.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | Ultra-fast, low latency LLM prompt injection/jailbreak detection ⛓️ | A programming framework for agentic AI | | Stars | 129 | 59,658 | | Forks | 4 | 8,983 | | Open issues | 13 | 945 | | Language | Python | Python | | Adopt for | - | 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 | - | - | | Runtime | - | - | | License | MIT | CC-BY-4.0 | | Categories | Computer Vision, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [last_layer](/tools/arekusandr-last-layer.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 719d | 87d | | Open issues (now) | 13 | 945 | | Owner type | User | Organization | | Full report | [trust report](/tools/arekusandr-last-layer/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | ## Shared compatibility - **Python**: [last_layer](/tools/arekusandr-last-layer.md) - Python runtime; [autogen](/tools/microsoft-autogen.md) - Python runtime ## Decision facts: autogen - **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. - **Adopt for:** 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. ## Choose when ### Choose last_layer if… - License: last_layer is MIT, autogen is CC-BY-4.0. - Tags unique to last_layer: chatgpt-prompts, jailbreak, large-language-models, llm-guard. - Also covers Computer Vision. ### Choose autogen if… - License: autogen is CC-BY-4.0, last_layer 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: agentic-agi, agents, ai, autogen. - 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 last_layer - Last GitHub push was 719 days ago (dormant maintenance, Jul 26, 2024). Validate activity before betting a new project on last_layer. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. ## Common questions ### What is the difference between last_layer and autogen? last_layer: Ultra-fast, low latency LLM prompt injection/jailbreak detection ⛓️. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose last_layer over autogen? Choose last_layer over autogen when License: last_layer is MIT, autogen is CC-BY-4.0; Tags unique to last_layer: chatgpt-prompts, jailbreak, large-language-models, llm-guard; Also covers Computer Vision. ### When should I choose autogen over last_layer? Choose autogen over last_layer when License: autogen is CC-BY-4.0, last_layer 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: agentic-agi, agents, ai, autogen; 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 last_layer? Last GitHub push was 719 days ago (dormant maintenance, Jul 26, 2024). Validate activity before betting a new project on last_layer. 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 last_layer or autogen more popular on GitHub? autogen has more GitHub stars (59,658 vs 129). Stars measure visibility, not whether either tool fits your constraints. ### Are last_layer and autogen open source? Yes - both are open-source projects on GitHub (last_layer: MIT, autogen: CC-BY-4.0). ### Where can I find alternatives to last_layer or autogen? GraphCanon lists graph-backed alternatives at [last_layer alternatives](/tools/arekusandr-last-layer/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([last_layer markdown twin](/tools/arekusandr-last-layer/alternatives.md), [autogen markdown twin](/tools/microsoft-autogen/alternatives.md)), 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](/compare/arekusandr-last-layer-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, last_layer or autogen? last_layer: 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 last_layer and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [last_layer trust report](/tools/arekusandr-last-layer/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arekusandr-last-layer`](/api/graphcanon/graph?tool=arekusandr-last-layer) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_