--- title: "Agently vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentera-agently-vs-microsoft-autogen" tools: ["agentera-agently", "microsoft-autogen"] --- # Agently vs autogen *GraphCanon updated Aug 20, 2026* ## Verdict Pick Agently if agently, a Python framework for GenAI app development under Apache-2.0, simplifies agent interaction with structured data and supports model switching without recoding; pick autogen if 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. [Agently](http://agently.tech) reports 1.6k GitHub stars, 181 forks, and 14 open issues, last pushed Aug 20, 2026. [autogen](https://microsoft.github.io/autogen/) has 60k stars, 9.1k forks, and 970 open issues, last pushed Apr 15, 2026. Figures are from public GitHub metadata via [Agently's repository](https://github.com/AgentEra/Agently) and [autogen's repository](https://github.com/microsoft/autogen). | | [Agently](/tools/agentera-agently.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | [GenAI Application Development Framework] | A programming framework for agentic AI | | Stars | 1,637 | 60,139 | | Forks | 181 | 9,059 | | Open issues | 14 | 970 | | Language | Python | Python | | Adopt for | Agently, a Python framework for GenAI app development under Apache-2.0, simplifies agent interaction with structured data and supports model switching without recoding. | 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 | Apache-2.0 | CC-BY-4.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agently](/tools/agentera-agently.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 107d | | Open issues (now) | 14 | 970 | | Stars delta | +9 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Full report | [trust report](/tools/agentera-agently/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | ## Decision facts: Agently - **Adopt for:** Agently, a Python framework for GenAI app development under Apache-2.0, simplifies agent interaction with structured data and supports model switching without recoding. ## 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 Agently if… - License: Agently is Apache-2.0, autogen is CC-BY-4.0. - Tags unique to Agently: agent, agent-based-framework, agent-framework, chatglm. - Need to develop applications quickly using various GenAI models like GPT or Gemini without rewrites ### Choose autogen if… - License: autogen is CC-BY-4.0, Agently 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: agentic-agi, agents, ai, autogen. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ## When NOT to use Agently - Do not require flexibility across different GenAI models; specific model commitment is preferred - *TriggerFlow*'s complexity is too high for very simple use cases or those needing direct simplicity over flow-based control ## 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 Agently and autogen? Agently: [GenAI Application Development Framework]. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose Agently over autogen? Choose Agently over autogen when License: Agently is Apache-2.0, autogen is CC-BY-4.0; Tags unique to Agently: agent, agent-based-framework, agent-framework, chatglm; Need to develop applications quickly using various GenAI models like GPT or Gemini without rewrites. ### When should I choose autogen over Agently? Choose autogen over Agently when License: autogen is CC-BY-4.0, Agently 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: agentic-agi, agents, ai, autogen; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### When should I avoid Agently? Do not require flexibility across different GenAI models; specific model commitment is preferred *TriggerFlow*'s complexity is too high for very simple use cases or those needing direct simplicity over flow-based control ### 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 Agently or autogen more popular on GitHub? autogen has more GitHub stars (60,139 vs 1,637). Stars measure visibility, not whether either tool fits your constraints. ### Are Agently and autogen open source? Yes - both are open-source projects on GitHub (Agently: Apache-2.0, autogen: CC-BY-4.0). ### Where can I find alternatives to Agently or autogen? GraphCanon lists graph-backed alternatives at [Agently alternatives](/tools/agentera-agently/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([Agently markdown twin](/tools/agentera-agently/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/agentera-agently-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agently or autogen? Agently: 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 Agently and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agently trust report](/tools/agentera-agently/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentera-agently`](/api/graphcanon/graph?tool=agentera-agently) - 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/_