--- title: "composio vs parlant" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/composiohq-composio-vs-emcie-co-parlant" tools: ["composiohq-composio", "emcie-co-parlant"] --- # composio vs parlant Neutral, constraint-first comparison with live GitHub stats. | | [composio](/tools/composiohq-composio.md) | [parlant](/tools/emcie-co-parlant.md) | | --- | --- | --- | | Tagline | Build AI agents that turn intent into action | Build reliable customer-facing AI agents with Parlant | | Stars | 29,135 | 18,168 | | Forks | 4,647 | 1,534 | | Open issues | 67 | 41 | | Language | TypeScript | Python | | Adopt for | Composio is an innovative tool designed for developers wanting to build sophisticated AI agents capable of turning user intent into actionable outputs. Its core competencies lie in its extensive toolkit management, easy鲈 | Parlant is a Python-based library designed for building reliable and customer-facing AI agents with controlled, consistent, and predictable interactions. It offers optimized context engineering to manage conversational L | | Persona | - | - | | Runtime | - | - | | License | MIT | Parlant is licensed under Apache-2.0 which allows for free use, modification, and distribution provided that the original copyright notice and license terms are retained. | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [composio](/tools/composiohq-composio.md) | [parlant](/tools/emcie-co-parlant.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 7d | | Open issues (now) | 67 | 41 | | Security scan | No criticals | 2 low (2 low) | | Full report | [trust report](/tools/composiohq-composio/trust.md) | [trust report](/tools/emcie-co-parlant/trust.md) | **Typed relationship:** composio _(alternative)_ parlant Composio also builds AI agents that turn intent into action, offering an alternative to Parlant's approach for controlled and consistent LLM interactions. ## Shared compatibility - **Python**: [composio](/tools/composiohq-composio.md) - Python runtime; [parlant](/tools/emcie-co-parlant.md) - Python runtime ## Decision facts: composio - **Adopt for:** Composio is an innovative tool designed for developers wanting to build sophisticated AI agents capable of turning user intent into actionable outputs. Its core competencies lie in its extensive toolkit management, easy鲈 ## Decision facts: parlant - **Hosting:** self hosted - **Pricing:** freemium - Free and open-source under the Apache-2.0 License, potentially involving self-hosting and customization efforts but no direct monetary costs. - **Adopt for:** Parlant is a Python-based library designed for building reliable and customer-facing AI agents with controlled, consistent, and predictable interactions. It offers optimized context engineering to manage conversational L - **License detail:** Parlant is licensed under Apache-2.0 which allows for free use, modification, and distribution provided that the original copyright notice and license terms are retained. ## Choose when ### Choose composio if… - composio is primarily TypeScript; parlant is Python. - License: composio is MIT, parlant is Apache-2.0. - Composio also builds AI agents that turn intent into action, offering an alternative to Parlant's approach for controlled and consistent LLM interactions. - Tags unique to composio: llmops, remote-mcp-server, agents, agentic-ai. - composio ships Docker support for self-hosted deployment. - When you need a robust framework that supports the development and deployment of AI agents in both TypeScript and Python environments. ### Choose parlant if… - parlant is primarily Python; composio is TypeScript. - License: parlant is Apache-2.0, composio is MIT. - Pricing: Free and open-source under the Apache-2.0 License, potentially involving self-hosting and customization efforts but no direct monetary costs.. - Composio also builds AI agents that turn intent into action, offering an alternative to Parlant's approach for controlled and consistent LLM interactions. - Tags unique to parlant: customer-service, ai-alignment, genai, gemini. - When developing enterprise-grade B2C or sensitive B2B interactions that require consistency, compliance, on-brand messaging, and traceability. ## When NOT to use composio - If your project requires extensive customization that exceeds the predefined capabilities of Composio's existing framework and integrated tools. - When working within a strictly non-TypeScript or non-Python environment, since Composio focuses on providing seamless integration with these specific languages. - For teams lacking proficiency in TypeScript and Python, as leveraging all features of Composio might require intermediate to advanced coding skills in these languages. - If your focus is purely on lower-level machine learning model training; Composio SDK's primary utility lies at a higher level专注于工具包管理和代理开发，而不是基础模型训练。 ## When NOT to use parlant - For projects where real-time context management isn't a critical requirement since Parlant focuses heavily on context engineering. - In environments where the complexity of conversational context control can be managed with simpler solutions, such as standalone system prompts without needing extensive routing or dynamic context. ## Common questions ### What is the difference between composio and parlant? composio: Build AI agents that turn intent into action. parlant: Build reliable customer-facing AI agents with Parlant. See the comparison table for live GitHub stats and shared categories. ### When should I choose composio over parlant? Choose composio over parlant when composio is primarily TypeScript; parlant is Python; License: composio is MIT, parlant is Apache-2.0; Composio also builds AI agents that turn intent into action, offering an alternative to Parlant's approach for controlled and consistent LLM interactions; Tags unique to composio: llmops, remote-mcp-server, agents, agentic-ai; composio ships Docker support for self-hosted deployment; When you need a robust framework that supports the development and deployment of AI agents in both TypeScript and Python environments. ### When should I choose parlant over composio? Choose parlant over composio when parlant is primarily Python; composio is TypeScript; License: parlant is Apache-2.0, composio is MIT; Pricing: Free and open-source under the Apache-2.0 License, potentially involving self-hosting and customization efforts but no direct monetary costs.; Composio also builds AI agents that turn intent into action, offering an alternative to Parlant's approach for controlled and consistent LLM interactions; Tags unique to parlant: customer-service, ai-alignment, genai, gemini; When developing enterprise-grade B2C or sensitive B2B interactions that require consistency, compliance, on-brand messaging, and traceability. ### When should I avoid composio? If your project requires extensive customization that exceeds the predefined capabilities of Composio's existing framework and integrated tools. When working within a strictly non-TypeScript or non-Python environment, since Composio focuses on providing seamless integration with these specific languages. For teams lacking proficiency in TypeScript and Python, as leveraging all features of Composio might require intermediate to advanced coding skills in these languages. If your focus is purely on lower-level machine learning model training; Composio SDK's primary utility lies at a higher level专注于工具包管理和代理开发，而不是基础模型训练。 ### When should I avoid parlant? For projects where real-time context management isn't a critical requirement since Parlant focuses heavily on context engineering. In environments where the complexity of conversational context control can be managed with simpler solutions, such as standalone system prompts without needing extensive routing or dynamic context. ### Is composio or parlant more popular on GitHub? composio has more GitHub stars (29,135 vs 18,168). Stars measure visibility, not whether either tool fits your constraints. ### Are composio and parlant open source? Yes - both are open-source projects on GitHub (composio: MIT, parlant: Apache-2.0). ### Where can I find alternatives to composio or parlant? GraphCanon lists graph-backed alternatives at /tools/composiohq-composio/alternatives and /tools/emcie-co-parlant/alternatives (/tools/composiohq-composio/alternatives.md, /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 /compare/composiohq-composio-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, composio or parlant? composio: Very active. parlant: 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 composio and parlant? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: composio: /tools/composiohq-composio/trust; parlant: /tools/emcie-co-parlant/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=composiohq-composio`](/api/graphcanon/graph?tool=composiohq-composio) - 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/_