--- title: "agent-framework vs openakita" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-agent-framework-vs-openakita-openakita" tools: ["microsoft-agent-framework", "openakita-openakita"] --- # agent-framework vs openakita *GraphCanon updated Sep 20, 2026* ## Verdict 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; pick openakita if decision-relevant data on OpenAkita. [agent-framework](https://aka.ms/agent-framework) reports 14k GitHub stars, 2.3k forks, and 605 open issues, last pushed Sep 18, 2026. [openakita](http://openakita.ai) has 2.0k stars, 277 forks, and 42 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [agent-framework's repository](https://github.com/microsoft/agent-framework) and [openakita's repository](https://github.com/openakita/openakita). | | [agent-framework](/tools/microsoft-agent-framework.md) | [openakita](/tools/openakita-openakita.md) | | --- | --- | --- | | Tagline | Framework for building and deploying AI agents and multi-agent workflows | An open-source AI assistant framework with skills and agent architecture | | Stars | 13,573 | 1,986 | | Forks | 2,335 | 277 | | Open issues | 605 | 42 | | Language | Python | Python | | Adopt for | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. | Decision-relevant data on OpenAkita | | Persona | - | - | | Runtime | - | - | | License | MIT | AGPL-3.0 | | Categories | AI Agents, Developer Tools | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-framework](/tools/microsoft-agent-framework.md) | [openakita](/tools/openakita-openakita.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 605 | 42 | | Stars delta | +855 (30d) | +31 (30d) | | Open issues delta | -80 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-agent-framework/trust.md) | [trust report](/tools/openakita-openakita/trust.md) | ## Shared compatibility - **Python**: [agent-framework](/tools/microsoft-agent-framework.md) - Python runtime; [openakita](/tools/openakita-openakita.md) - Python runtime ## 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. ## Decision facts: openakita - **Adopt for:** Decision-relevant data on OpenAkita ## Choose when ### Choose agent-framework if… - License: agent-framework is MIT, openakita is AGPL-3.0. - 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, agents, multi-agent. - Also covers Developer Tools. - Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### Choose openakita if… - License: openakita is AGPL-3.0, agent-framework is MIT. - Tags unique to openakita: agent, ai, assistant, automation. - openakita ships Docker support for self-hosted deployment. - For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks ## 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. ## When NOT to use openakita - Avoid if proprietary or non-open source solutions are preferred as OpenAkita's AGPL-3.0 license mandates sharing modifications publicly - Consider alternatives if a less modular approach is desired, since OpenAkita strongly emphasizes a skills-based agent architecture which may complicate straightforward integrations ## Common questions ### What is the difference between agent-framework and openakita? agent-framework: Framework for building and deploying AI agents and multi-agent workflows. openakita: An open-source AI assistant framework with skills and agent architecture. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-framework over openakita? Choose agent-framework over openakita when License: agent-framework is MIT, openakita is AGPL-3.0; 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, agents, multi-agent; Also covers Developer Tools; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### When should I choose openakita over agent-framework? Choose openakita over agent-framework when License: openakita is AGPL-3.0, agent-framework is MIT; Tags unique to openakita: agent, ai, assistant, automation; openakita ships Docker support for self-hosted deployment; For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks. ### 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. ### When should I avoid openakita? Avoid if proprietary or non-open source solutions are preferred as OpenAkita's AGPL-3.0 license mandates sharing modifications publicly Consider alternatives if a less modular approach is desired, since OpenAkita strongly emphasizes a skills-based agent architecture which may complicate straightforward integrations ### Is agent-framework or openakita more popular on GitHub? agent-framework has more GitHub stars (13,573 vs 1,986). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-framework and openakita open source? Yes - both are open-source projects on GitHub (agent-framework: MIT, openakita: AGPL-3.0). ### Where can I find alternatives to agent-framework or openakita? GraphCanon lists graph-backed alternatives at [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) and [openakita alternatives](/tools/openakita-openakita/alternatives) ([agent-framework markdown twin](/tools/microsoft-agent-framework/alternatives.md), [openakita markdown twin](/tools/openakita-openakita/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/microsoft-agent-framework-vs-openakita-openakita.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-framework or openakita? agent-framework: Very active. openakita: 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 agent-framework and openakita? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-framework trust report](/tools/microsoft-agent-framework/trust); [openakita trust report](/tools/openakita-openakita/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-agent-framework`](/api/graphcanon/graph?tool=microsoft-agent-framework) - 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/_