--- title: "parlant vs LangBot" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/emcie-co-parlant-vs-langbot-app-langbot" tools: ["emcie-co-parlant", "langbot-app-langbot"] --- # parlant vs LangBot Neutral, constraint-first comparison with live GitHub stats. | | [parlant](/tools/emcie-co-parlant.md) | [LangBot](/tools/langbot-app-langbot.md) | | --- | --- | --- | | Tagline | Build reliable customer-facing AI agents with Parlant | Production-grade platform for building agentic IM bots. | | Stars | 18,168 | 16,758 | | Forks | 1,534 | 1,481 | | Open issues | 41 | 113 | | Language | Python | Python | | 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 | LangBot is an open-source platform for creating AI-powered instant messaging bots with support for multiple platforms and LLM integrations. | | Persona | - | - | | Runtime | - | - | | License | 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. | Apache-2.0 | | Categories | AI Agents | AI Agents, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [parlant](/tools/emcie-co-parlant.md) | [LangBot](/tools/langbot-app-langbot.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 7d | 0d | | Open issues (now) | 41 | 113 | | Security scan | 2 low (2 low) | No lockfile | | Full report | [trust report](/tools/emcie-co-parlant/trust.md) | [trust report](/tools/langbot-app-langbot/trust.md) | **Typed relationship:** parlant _(alternative)_ LangBot LangBot and Parlant both create AI agents for customer interaction, though the specific features and use cases they target might differ slightly. ## Shared compatibility - **Python**: [parlant](/tools/emcie-co-parlant.md) - Python runtime; [LangBot](/tools/langbot-app-langbot.md) - Python runtime ## 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. ## Decision facts: LangBot - **Pricing:** freemium - LangBot offers an open-source version but includes a commercial cloud offering that features additional support and services. - **Requirements:** Min 1 GB RAM; Python (3.10~3.13) is required for development; Access to supported IM platforms is necessary to deploy bots - **Adopt for:** LangBot is an open-source platform for creating AI-powered instant messaging bots with support for multiple platforms and LLM integrations. ## Choose when ### Choose parlant if… - Pricing: Free and open-source under the Apache-2.0 License, potentially involving self-hosting and customization efforts but no direct monetary costs.. - LangBot and Parlant both create AI agents for customer interaction, though the specific features and use cases they target might differ slightly. - 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. ### Choose LangBot if… - Pricing: LangBot offers an open-source version but includes a commercial cloud offering that features additional support and services.. - Requirements: Min 1 GB RAM; Python (3.10~3.13) is required for development; Access to supported IM platforms is necessary to deploy bots. - LangBot and Parlant both create AI agents for customer interaction, though the specific features and use cases they target might differ slightly. - Tags unique to LangBot: slack, dify, deepseek, llm. - Also covers Model Training. - LangBot ships Docker support for self-hosted deployment. - Utilize LangBot when you need to deploy multi-turn dialogues and tool-calling capabilities across a variety of chat platforms like Discord, Telegram, WeChat, Slack, and more. Its built-in RAG (Retrieц ## 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. ## When NOT to use LangBot - Avoid using LangBot if your project requires integration with specific messaging platforms not supported by the tool such as custom or less mainstream channels that lack available plugins. - LangBot may not be suitable for projects demanding proprietary workflows since it is designed to integrate primarily with its ecosystem of components and external services like Dify, Coze, n8n, etc. ## Common questions ### What is the difference between parlant and LangBot? parlant: Build reliable customer-facing AI agents with Parlant. LangBot: Production-grade platform for building agentic IM bots.. See the comparison table for live GitHub stats and shared categories. ### When should I choose parlant over LangBot? Choose parlant over LangBot when Pricing: Free and open-source under the Apache-2.0 License, potentially involving self-hosting and customization efforts but no direct monetary costs.; LangBot and Parlant both create AI agents for customer interaction, though the specific features and use cases they target might differ slightly; 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 choose LangBot over parlant? Choose LangBot over parlant when Pricing: LangBot offers an open-source version but includes a commercial cloud offering that features additional support and services.; Requirements: Min 1 GB RAM; Python (3.10~3.13) is required for development; Access to supported IM platforms is necessary to deploy bots; LangBot and Parlant both create AI agents for customer interaction, though the specific features and use cases they target might differ slightly; Tags unique to LangBot: slack, dify, deepseek, llm; Also covers Model Training; LangBot ships Docker support for self-hosted deployment; Utilize LangBot when you need to deploy multi-turn dialogues and tool-calling capabilities across a variety of chat platforms like Discord, Telegram, WeChat, Slack, and more. Its built-in RAG (Retrieц. ### 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. ### When should I avoid LangBot? Avoid using LangBot if your project requires integration with specific messaging platforms not supported by the tool such as custom or less mainstream channels that lack available plugins. LangBot may not be suitable for projects demanding proprietary workflows since it is designed to integrate primarily with its ecosystem of components and external services like Dify, Coze, n8n, etc. ### Is parlant or LangBot more popular on GitHub? parlant has more GitHub stars (18,168 vs 16,758). Stars measure visibility, not whether either tool fits your constraints. ### Are parlant and LangBot open source? Yes - both are open-source projects on GitHub (parlant: Apache-2.0, LangBot: Apache-2.0). ### Where can I find alternatives to parlant or LangBot? GraphCanon lists graph-backed alternatives at /tools/emcie-co-parlant/alternatives and /tools/langbot-app-langbot/alternatives (/tools/emcie-co-parlant/alternatives.md, /tools/langbot-app-langbot/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/emcie-co-parlant-vs-langbot-app-langbot.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, parlant or LangBot? parlant: Active. LangBot: 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 LangBot? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: parlant: /tools/emcie-co-parlant/trust; LangBot: /tools/langbot-app-langbot/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/_