--- title: "botpress vs parlant" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/botpress-botpress-vs-emcie-co-parlant" tools: ["botpress-botpress", "emcie-co-parlant"] --- # botpress vs parlant Neutral, constraint-first comparison with live GitHub stats. | | [botpress](/tools/botpress-botpress.md) | [parlant](/tools/emcie-co-parlant.md) | | --- | --- | --- | | Tagline | The open-source hub to build & deploy GPT/LLM Agents | Build reliable customer-facing AI agents with Parlant | | Stars | 14,772 | 18,168 | | Forks | 2,274 | 1,534 | | Open issues | 21 | 41 | | Language | TypeScript | Python | | Adopt for | Botpress is an open-source platform for developing GPT and LLM-powered chatbots and conversational assistants, featuring robust integrations, developer tools, bot examples, and plugins. | 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, Developer Tools | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [botpress](/tools/botpress-botpress.md) | [parlant](/tools/emcie-co-parlant.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 7d | | Open issues (now) | 21 | 41 | | Security scan | No lockfile | 2 low (2 low) | | Full report | [trust report](/tools/botpress-botpress/trust.md) | [trust report](/tools/emcie-co-parlant/trust.md) | **Typed relationship:** botpress _(alternative)_ parlant Both Parlant and Botpress are used to build and deploy customer-facing AI agents, with a focus on reliability and interaction control. ## Decision facts: botpress - **Adopt for:** Botpress is an open-source platform for developing GPT and LLM-powered chatbots and conversational assistants, featuring robust integrations, developer tools, bot examples, and plugins. ## 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 botpress if… - botpress is primarily TypeScript; parlant is Python. - License: botpress is MIT, parlant is Apache-2.0. - Both Parlant and Botpress are used to build and deploy customer-facing AI agents, with a focus on reliability and interaction control. - Tags unique to botpress: botpress, llm, ai, nlp. - Also covers Developer Tools. - When you need a flexible platform to quickly develop advanced AI agents using OpenAI's models. ### Choose parlant if… - parlant is primarily Python; botpress is TypeScript. - License: parlant is Apache-2.0, botpress 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.. - Both Parlant and Botpress are used to build and deploy customer-facing AI agents, with a focus on reliability and interaction control. - 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 botpress - Avoid choosing Botpress when your use case does not need or cannot justify the investment in OpenAI-based models like GPT-4. - If your chatbot requirements fit better within simpler rule-based systems, consider more basic chatbot development frameworks instead. - Do not opt for this solution if you prefer proprietary developer tools over open-source alternatives. ## 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 botpress and parlant? botpress: The open-source hub to build & deploy GPT/LLM Agents. parlant: Build reliable customer-facing AI agents with Parlant. See the comparison table for live GitHub stats and shared categories. ### When should I choose botpress over parlant? Choose botpress over parlant when botpress is primarily TypeScript; parlant is Python; License: botpress is MIT, parlant is Apache-2.0; Both Parlant and Botpress are used to build and deploy customer-facing AI agents, with a focus on reliability and interaction control; Tags unique to botpress: botpress, llm, ai, nlp; Also covers Developer Tools; When you need a flexible platform to quickly develop advanced AI agents using OpenAI's models. ### When should I choose parlant over botpress? Choose parlant over botpress when parlant is primarily Python; botpress is TypeScript; License: parlant is Apache-2.0, botpress 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.; Both Parlant and Botpress are used to build and deploy customer-facing AI agents, with a focus on reliability and interaction control; 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 botpress? Avoid choosing Botpress when your use case does not need or cannot justify the investment in OpenAI-based models like GPT-4. If your chatbot requirements fit better within simpler rule-based systems, consider more basic chatbot development frameworks instead. Do not opt for this solution if you prefer proprietary developer tools over open-source alternatives. ### 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 botpress or parlant more popular on GitHub? parlant has more GitHub stars (18,168 vs 14,772). Stars measure visibility, not whether either tool fits your constraints. ### Are botpress and parlant open source? Yes - both are open-source projects on GitHub (botpress: MIT, parlant: Apache-2.0). ### Where can I find alternatives to botpress or parlant? GraphCanon lists graph-backed alternatives at /tools/botpress-botpress/alternatives and /tools/emcie-co-parlant/alternatives (/tools/botpress-botpress/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/botpress-botpress-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, botpress or parlant? botpress: 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 botpress and parlant? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: botpress: /tools/botpress-botpress/trust; parlant: /tools/emcie-co-parlant/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=botpress-botpress`](/api/graphcanon/graph?tool=botpress-botpress) - 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/_