--- title: "agent-framework vs agents-towards-production" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-agent-framework-vs-nirdiamant-agents-towards-production" tools: ["microsoft-agent-framework", "nirdiamant-agents-towards-production"] --- # agent-framework vs agents-towards-production *GraphCanon updated Aug 18, 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 agents-towards-production if agents-towards-production is an open-source project focused on providing comprehensive, step-by-step tutorials for developing AI agents from the prototype stage to enterprise-ready deployment. This guide includes best-pr. [agent-framework](https://aka.ms/agent-framework) reports 13k GitHub stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 2026. [agents-towards-production](https://diamant-ai.com) has 21k stars, 2.8k forks, and 15 open issues, last pushed Aug 15, 2026. Figures are from public GitHub metadata via [agent-framework's repository](https://github.com/microsoft/agent-framework) and [agents-towards-production's repository](https://github.com/NirDiamant/agents-towards-production). | | [agent-framework](/tools/microsoft-agent-framework.md) | [agents-towards-production](/tools/nirdiamant-agents-towards-production.md) | | --- | --- | --- | | Tagline | Framework for building and deploying AI agents and multi-agent workflows | End-to-end, code-first tutorials for building production-grade GenAI agents | | Stars | 12,718 | 21,298 | | Forks | 2,143 | 2,824 | | Open issues | 685 | 15 | | Language | Python | Jupyter Notebook | | Adopt for | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. | agents-towards-production is an open-source project focused on providing comprehensive, step-by-step tutorials for developing AI agents from the prototype stage to enterprise-ready deployment. This guide includes best-pr | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | 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) | [agents-towards-production](/tools/nirdiamant-agents-towards-production.md) | | --- | --- | --- | | Days since push | 0d | 3d | | Open issues (now) | 685 | 15 | | Stars delta | Unknown | +191 (30d) | | Open issues delta | Unknown | +4 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-agent-framework/trust.md) | [trust report](/tools/nirdiamant-agents-towards-production/trust.md) | ## 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: agents-towards-production - **Adopt for:** agents-towards-production is an open-source project focused on providing comprehensive, step-by-step tutorials for developing AI agents from the prototype stage to enterprise-ready deployment. This guide includes best-pr ## Choose when ### Choose agent-framework if… - agent-framework is primarily Python; agents-towards-production is Jupyter Notebook. - License: agent-framework is MIT, agents-towards-production is Other. - 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: agents, multi-agent, orchestration, workflows. - 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 agents-towards-production if… - agents-towards-production is primarily Jupyter Notebook; agent-framework is Python. - License: agents-towards-production is Other, agent-framework is MIT. - Tags unique to agents-towards-production: deployment, genai, langgraph, llms. - * When you aim to deploy AI agents using cloud services such as AWS Bedrock AgentCore Runtime, where automatic infrastructure management and standardized communication patterns are key. ## 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 agents-towards-production - * If your enterprise strictly forbids using cloud services; this tool emphasizes both cloud and on-prem deployment strategies but may not fit entirely on-prem infrastructures. - * When you are looking for a fully managed service without code-first or tutorial-guided approaches, as 'agents-towards-production' focuses heavily on hands-on tutorials and end-to-end guide creation. - * If your specific AI agent workload does not align with the foundational deployment patterns covered (containerization, AWS Bedrock, Ollama on-prem solutions, Runpod GPU deployment), other tools may, - other_remarks_and_conditions_of_use_or_nonuse_examples_with_links_or_code_snippets_e.g_github_issues__pull_requests__branch_names_etc_that_affect_anyoftheabove_can_be_cited_if_pertinent. ## Common questions ### What is the difference between agent-framework and agents-towards-production? agent-framework: Framework for building and deploying AI agents and multi-agent workflows. agents-towards-production: End-to-end, code-first tutorials for building production-grade GenAI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-framework over agents-towards-production? Choose agent-framework over agents-towards-production when agent-framework is primarily Python; agents-towards-production is Jupyter Notebook; License: agent-framework is MIT, agents-towards-production is Other; 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: agents, multi-agent, orchestration, workflows; 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 agents-towards-production over agent-framework? Choose agents-towards-production over agent-framework when agents-towards-production is primarily Jupyter Notebook; agent-framework is Python; License: agents-towards-production is Other, agent-framework is MIT; Tags unique to agents-towards-production: deployment, genai, langgraph, llms; * When you aim to deploy AI agents using cloud services such as AWS Bedrock AgentCore Runtime, where automatic infrastructure management and standardized communication patterns are key. ### 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 agents-towards-production? * If your enterprise strictly forbids using cloud services; this tool emphasizes both cloud and on-prem deployment strategies but may not fit entirely on-prem infrastructures. * When you are looking for a fully managed service without code-first or tutorial-guided approaches, as 'agents-towards-production' focuses heavily on hands-on tutorials and end-to-end guide creation. * If your specific AI agent workload does not align with the foundational deployment patterns covered (containerization, AWS Bedrock, Ollama on-prem solutions, Runpod GPU deployment), other tools may, other_remarks_and_conditions_of_use_or_nonuse_examples_with_links_or_code_snippets_e.g_github_issues__pull_requests__branch_names_etc_that_affect_anyoftheabove_can_be_cited_if_pertinent. ### Is agent-framework or agents-towards-production more popular on GitHub? agents-towards-production has more GitHub stars (21,298 vs 12,718). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-framework and agents-towards-production open source? Yes - both are open-source projects on GitHub (agent-framework: MIT, agents-towards-production: Other). ### Where can I find alternatives to agent-framework or agents-towards-production? GraphCanon lists graph-backed alternatives at [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) and [agents-towards-production alternatives](/tools/nirdiamant-agents-towards-production/alternatives) ([agent-framework markdown twin](/tools/microsoft-agent-framework/alternatives.md), [agents-towards-production markdown twin](/tools/nirdiamant-agents-towards-production/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-nirdiamant-agents-towards-production.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-framework or agents-towards-production? agent-framework: Very active. agents-towards-production: 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 agents-towards-production? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-framework trust report](/tools/microsoft-agent-framework/trust); [agents-towards-production trust report](/tools/nirdiamant-agents-towards-production/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/_