--- title: "agno vs agent-framework" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-microsoft-agent-framework" tools: ["agno-agi-agno", "microsoft-agent-framework"] --- # agno vs agent-framework *GraphCanon updated Aug 19, 2026* ## Verdict Pick agno if use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions; pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. [agno](https://docs.agno.com) reports 42k GitHub stars, 5.8k forks, and 1.3k open issues, last pushed Aug 19, 2026. [agent-framework](https://aka.ms/agent-framework) has 13k stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 2026. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [agent-framework's repository](https://github.com/microsoft/agent-framework). | | [agno](/tools/agno-agi-agno.md) | [agent-framework](/tools/microsoft-agent-framework.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | Framework for building and deploying AI agents and multi-agent workflows | | Stars | 41,785 | 12,718 | | Forks | 5,793 | 2,143 | | Open issues | 1,261 | 685 | | Language | Python | Python | | Adopt for | Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agno](/tools/agno-agi-agno.md) | [agent-framework](/tools/microsoft-agent-framework.md) | | --- | --- | --- | | Open issues (now) | 1.3k | 685 | | Stars delta | +487 (30d) | Unknown | | Open issues delta | +264 (30d) | Unknown | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/microsoft-agent-framework/trust.md) | ## Decision facts: agno - **Adopt for:** Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ## Decision facts: agent-framework - **Requirements:** Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages. - **Adopt for:** The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. ## Choose when ### Choose agno if… - License: agno is Apache-2.0, agent-framework is MIT. - Tags unique to agno: ai-agents, developer-tools, python. - Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### Choose agent-framework if… - License: agent-framework is MIT, agno is Apache-2.0. - Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.. - Tags unique to agent-framework: agent-framework, agentic-ai, multi-agent, orchestration. - Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ## When NOT to use agno - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use agent-framework - Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. - Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework. ## Common questions ### What is the difference between agno and agent-framework? agno: Build, run, and manage your own agent platform.. agent-framework: Framework for building and deploying AI agents and multi-agent workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over agent-framework? Choose agno over agent-framework when License: agno is Apache-2.0, agent-framework is MIT; Tags unique to agno: ai-agents, developer-tools, python; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### When should I choose agent-framework over agno? Choose agent-framework over agno when License: agent-framework is MIT, agno is Apache-2.0; Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, multi-agent, orchestration; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### When should I avoid agno? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid agent-framework? Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework. ### Is agno or agent-framework more popular on GitHub? agno has more GitHub stars (41,785 vs 12,718). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and agent-framework open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, agent-framework: MIT). ### Where can I find alternatives to agno or agent-framework? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [agent-framework markdown twin](/tools/microsoft-agent-framework/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/agno-agi-agno-vs-microsoft-agent-framework.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or agent-framework? agno: Very active. agent-framework: Very active. 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 agno and agent-framework? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [agent-framework trust report](/tools/microsoft-agent-framework/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agno-agi-agno`](/api/graphcanon/graph?tool=agno-agi-agno) - 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/_