--- title: "parlant vs agent-framework" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/emcie-co-parlant-vs-microsoft-agent-framework" tools: ["emcie-co-parlant", "microsoft-agent-framework"] --- # parlant vs agent-framework *GraphCanon updated Aug 20, 2026* ## Verdict Pick parlant if parlant is a specialized interaction control harness designed to ensure that AI agents, particularly those in customer service roles, behave predictably and align with predefined rules; 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. [parlant](https://www.parlant.io) reports 18k GitHub stars, 1.6k forks, and 42 open issues, last pushed Jul 12, 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 [parlant's repository](https://github.com/emcie-co/parlant) and [agent-framework's repository](https://github.com/microsoft/agent-framework). | | [parlant](/tools/emcie-co-parlant.md) | [agent-framework](/tools/microsoft-agent-framework.md) | | --- | --- | --- | | Tagline | Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions. | Framework for building and deploying AI agents and multi-agent workflows | | Stars | 18,253 | 12,718 | | Forks | 1,551 | 2,143 | | Open issues | 42 | 685 | | Language | Python | Python | | Adopt for | Parlant is a specialized interaction control harness designed to ensure that AI agents, particularly those in customer service roles, behave predictably and align with predefined rules. | 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 | Parlant is available under the Apache-2.0 license, allowing for unrestricted commercial use as long as proper attribution is given. | MIT | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [parlant](/tools/emcie-co-parlant.md) | [agent-framework](/tools/microsoft-agent-framework.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 38d | 0d | | Open issues (now) | 42 | 685 | | Stars delta | +74 (30d) | Unknown | | Open issues delta | +3 (30d) | Unknown | | Full report | [trust report](/tools/emcie-co-parlant/trust.md) | [trust report](/tools/microsoft-agent-framework/trust.md) | ## Shared compatibility - **Python**: [parlant](/tools/emcie-co-parlant.md) - Python runtime; [agent-framework](/tools/microsoft-agent-framework.md) - Python runtime ## Decision facts: parlant - **Pricing:** freemium - The open-source version offers community-supported functionalities which are free to use but might lack advanced support services. - **Adopt for:** Parlant is a specialized interaction control harness designed to ensure that AI agents, particularly those in customer service roles, behave predictably and align with predefined rules. - **License detail:** Parlant is available under the Apache-2.0 license, allowing for unrestricted commercial use as long as proper attribution is given. ## 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 parlant if… - License: parlant is Apache-2.0, agent-framework is MIT. - Pricing: The open-source version offers community-supported functionalities which are free to use but might lack advanced support services.. - Tags unique to parlant: ai-agents, ai-alignment, customer-service, customer-success. - When you need precise control over the actions of AI agents based on specific conditions or observations. ### Choose agent-framework if… - License: agent-framework is MIT, parlant 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, 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 NOT to use parlant - When the requirements for agent interactions do not demand granular rules based on observable user behavior or conditions, making this level of control unnecessary. - In cases where the flexibility and spontaneous responses from general-purpose LLMs are preferred without being restricted by controlled guidelines. - If your project involves minimal interaction types that can be managed with less sophisticated frameworks, thus negating the need for Parlant's advanced condition setting capabilities. ## 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 parlant and agent-framework? parlant: Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.. 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 parlant over agent-framework? Choose parlant over agent-framework when License: parlant is Apache-2.0, agent-framework is MIT; Pricing: The open-source version offers community-supported functionalities which are free to use but might lack advanced support services.; Tags unique to parlant: ai-agents, ai-alignment, customer-service, customer-success; When you need precise control over the actions of AI agents based on specific conditions or observations. ### When should I choose agent-framework over parlant? Choose agent-framework over parlant when License: agent-framework is MIT, parlant 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, 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 avoid parlant? When the requirements for agent interactions do not demand granular rules based on observable user behavior or conditions, making this level of control unnecessary. In cases where the flexibility and spontaneous responses from general-purpose LLMs are preferred without being restricted by controlled guidelines. If your project involves minimal interaction types that can be managed with less sophisticated frameworks, thus negating the need for Parlant's advanced condition setting capabilities. ### 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 parlant or agent-framework more popular on GitHub? parlant has more GitHub stars (18,253 vs 12,718). Stars measure visibility, not whether either tool fits your constraints. ### Are parlant and agent-framework open source? Yes - both are open-source projects on GitHub (parlant: Apache-2.0, agent-framework: MIT). ### Where can I find alternatives to parlant or agent-framework? GraphCanon lists graph-backed alternatives at [parlant alternatives](/tools/emcie-co-parlant/alternatives) and [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) ([parlant markdown twin](/tools/emcie-co-parlant/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/emcie-co-parlant-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, parlant or agent-framework? parlant: Steady. 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 parlant and agent-framework? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [parlant trust report](/tools/emcie-co-parlant/trust); [agent-framework trust report](/tools/microsoft-agent-framework/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=emcie-co-parlant`](/api/graphcanon/graph?tool=emcie-co-parlant) - 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/_