--- title: "agent-protocol vs parlant" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agi-inc-agent-protocol-vs-emcie-co-parlant" tools: ["agi-inc-agent-protocol", "emcie-co-parlant"] --- # agent-protocol vs parlant *GraphCanon updated Aug 20, 2026* ## Verdict Pick agent-protocol if agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking; 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. [agent-protocol](https://agentprotocol.ai) reports 1.5k GitHub stars, 185 forks, and 50 open issues, last pushed Apr 8, 2025. [parlant](https://www.parlant.io) has 18k stars, 1.6k forks, and 42 open issues, last pushed Jul 12, 2026. Figures are from public GitHub metadata via [agent-protocol's repository](https://github.com/agi-inc/agent-protocol) and [parlant's repository](https://github.com/emcie-co/parlant). | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [parlant](/tools/emcie-co-parlant.md) | | --- | --- | --- | | Tagline | Common interface for AI agents | Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions. | | Stars | 1,458 | 18,253 | | Forks | 185 | 1,551 | | Open issues | 50 | 42 | | Language | Python | Python | | Adopt for | agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking. | 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. | | Persona | - | - | | Runtime | - | - | | License | MIT | Parlant is available under the Apache-2.0 license, allowing for unrestricted commercial use as long as proper attribution is given. | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [parlant](/tools/emcie-co-parlant.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 484d | 38d | | Open issues (now) | 50 | 42 | | Stars delta | Unknown | +74 (30d) | | Open issues delta | Unknown | +3 (30d) | | Full report | [trust report](/tools/agi-inc-agent-protocol/trust.md) | [trust report](/tools/emcie-co-parlant/trust.md) | ## Decision facts: agent-protocol - **Adopt for:** agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking. ## 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. ## Choose when ### Choose agent-protocol if… - License: agent-protocol is MIT, parlant is Apache-2.0. - Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt. - When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them. ### Choose parlant if… - License: parlant is Apache-2.0, agent-protocol 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 NOT to use agent-protocol - If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. - When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer. ## 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. ## Common questions ### What is the difference between agent-protocol and parlant? agent-protocol: Common interface for AI agents. parlant: Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-protocol over parlant? Choose agent-protocol over parlant when License: agent-protocol is MIT, parlant is Apache-2.0; Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them. ### When should I choose parlant over agent-protocol? Choose parlant over agent-protocol when License: parlant is Apache-2.0, agent-protocol 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 avoid agent-protocol? If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer. ### 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. ### Is agent-protocol or parlant more popular on GitHub? parlant has more GitHub stars (18,253 vs 1,458). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-protocol and parlant open source? Yes - both are open-source projects on GitHub (agent-protocol: MIT, parlant: Apache-2.0). ### Where can I find alternatives to agent-protocol or parlant? GraphCanon lists graph-backed alternatives at [agent-protocol alternatives](/tools/agi-inc-agent-protocol/alternatives) and [parlant alternatives](/tools/emcie-co-parlant/alternatives) ([agent-protocol markdown twin](/tools/agi-inc-agent-protocol/alternatives.md), [parlant markdown twin](/tools/emcie-co-parlant/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/agi-inc-agent-protocol-vs-emcie-co-parlant.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-protocol or parlant? agent-protocol: Dormant. parlant: Steady. 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-protocol and parlant? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-protocol trust report](/tools/agi-inc-agent-protocol/trust); [parlant trust report](/tools/emcie-co-parlant/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agi-inc-agent-protocol`](/api/graphcanon/graph?tool=agi-inc-agent-protocol) - 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/_