--- title: "LangBot vs langgraph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langbot-app-langbot-vs-langchain-ai-langgraph" tools: ["langbot-app-langbot", "langchain-ai-langgraph"] --- # LangBot vs langgraph *GraphCanon updated Aug 18, 2026* ## Verdict Pick LangBot if langBot offers a robust and production-ready platform for developing agentic bots that can integrate with various AI models. It supports multiple messaging platforms including Slack, Discord, WeChat (enterprise), and QQ; pick langgraph if langGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory. [LangBot](https://langbot.app) reports 17k GitHub stars, 1.6k forks, and 127 open issues, last pushed Aug 17, 2026. [langgraph](https://docs.langchain.com/oss/python/langgraph/) has 38k stars, 6.5k forks, and 647 open issues, last pushed Jul 28, 2026. Figures are from public GitHub metadata via [LangBot's repository](https://github.com/langbot-app/LangBot) and [langgraph's repository](https://github.com/langchain-ai/langgraph). | | [LangBot](/tools/langbot-app-langbot.md) | [langgraph](/tools/langchain-ai-langgraph.md) | | --- | --- | --- | | Tagline | Production-grade platform for building agentic IM bots | Low-level orchestration framework for building stateful agents. | | Stars | 17,469 | 38,352 | | Forks | 1,554 | 6,458 | | Open issues | 127 | 647 | | Language | Python | Python | | Adopt for | LangBot offers a robust and production-ready platform for developing agentic bots that can integrate with various AI models. It supports multiple messaging platforms including Slack, Discord, WeChat (enterprise), and QQ. | LangGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LangBot](/tools/langbot-app-langbot.md) | [langgraph](/tools/langchain-ai-langgraph.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 127 | 647 | | Stars delta | +533 (30d) | Unknown | | Open issues delta | +11 (30d) | Unknown | | Full report | [trust report](/tools/langbot-app-langbot/trust.md) | [trust report](/tools/langchain-ai-langgraph/trust.md) | ## Decision facts: LangBot - **Pricing:** freemium - LangBot operates under the Apache-2.0 license allowing free usage and modification but certain advanced features or enterprise-grade support might be chargeable. - **Adopt for:** LangBot offers a robust and production-ready platform for developing agentic bots that can integrate with various AI models. It supports multiple messaging platforms including Slack, Discord, WeChat (enterprise), and QQ. ## Decision facts: langgraph - **Pricing:** freemium - LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for- - **Requirements:** Min 4 GB RAM; Requires Python environment - **Adopt for:** LangGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities. ## Choose when ### Choose LangBot if… - License: LangBot is Apache-2.0, langgraph is MIT. - Pricing: LangBot operates under the Apache-2.0 license allowing free usage and modification but certain advanced features or enterprise-grade support might be chargeable.. - Tags unique to LangBot: agent, coze, deepseek, dify. - LangBot ships Docker support for self-hosted deployment. - When needing to build sophisticated agentic bots capable of cross-platform operation across a wide range of popular instant messaging systems like Telegram, Facebook Messenger, DingTalk, and more. ### Choose langgraph if… - License: langgraph is MIT, LangBot is Apache-2.0. - Pricing: LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for-. - Requirements: Min 4 GB RAM; Requires Python environment. - Tags unique to langgraph: agents, ai-agents, enterprise, framework. - When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management. ## When NOT to use LangBot - For projects that strictly require non-Python environments since LangBot is built in Python and primarily supports this ecosystem. - In scenarios where the deployment complexity of Dockerized services (using Docker Compose) might be a significant drawback, such as in environments with strict policies against containerization or onㅎ - Limited support for specific niche platforms beyond those mentioned, potentially reducing utility in contexts requiring more obscure messaging integrations. ## When NOT to use langgraph - LangGraph is less suitable when you prefer a simpler setup. It demands more initial configuration and lower-level control than other agent-building frameworks such as Deep Agents. - For projects requiring immediate quick-start capabilities, as LangGraph offers foundational support which involves more manual configuration versus quicker-to-prototype tools. ## Common questions ### What is the difference between LangBot and langgraph? LangBot: Production-grade platform for building agentic IM bots. langgraph: Low-level orchestration framework for building stateful agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose LangBot over langgraph? Choose LangBot over langgraph when License: LangBot is Apache-2.0, langgraph is MIT; Pricing: LangBot operates under the Apache-2.0 license allowing free usage and modification but certain advanced features or enterprise-grade support might be chargeable.; Tags unique to LangBot: agent, coze, deepseek, dify; LangBot ships Docker support for self-hosted deployment; When needing to build sophisticated agentic bots capable of cross-platform operation across a wide range of popular instant messaging systems like Telegram, Facebook Messenger, DingTalk, and more. ### When should I choose langgraph over LangBot? Choose langgraph over LangBot when License: langgraph is MIT, LangBot is Apache-2.0; Pricing: LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for-; Requirements: Min 4 GB RAM; Requires Python environment; Tags unique to langgraph: agents, ai-agents, enterprise, framework; When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management. ### When should I avoid LangBot? For projects that strictly require non-Python environments since LangBot is built in Python and primarily supports this ecosystem. In scenarios where the deployment complexity of Dockerized services (using Docker Compose) might be a significant drawback, such as in environments with strict policies against containerization or onㅎ Limited support for specific niche platforms beyond those mentioned, potentially reducing utility in contexts requiring more obscure messaging integrations. ### When should I avoid langgraph? LangGraph is less suitable when you prefer a simpler setup. It demands more initial configuration and lower-level control than other agent-building frameworks such as Deep Agents. For projects requiring immediate quick-start capabilities, as LangGraph offers foundational support which involves more manual configuration versus quicker-to-prototype tools. ### Is LangBot or langgraph more popular on GitHub? langgraph has more GitHub stars (38,352 vs 17,469). Stars measure visibility, not whether either tool fits your constraints. ### Are LangBot and langgraph open source? Yes - both are open-source projects on GitHub (LangBot: Apache-2.0, langgraph: MIT). ### Where can I find alternatives to LangBot or langgraph? GraphCanon lists graph-backed alternatives at [LangBot alternatives](/tools/langbot-app-langbot/alternatives) and [langgraph alternatives](/tools/langchain-ai-langgraph/alternatives) ([LangBot markdown twin](/tools/langbot-app-langbot/alternatives.md), [langgraph markdown twin](/tools/langchain-ai-langgraph/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/langbot-app-langbot-vs-langchain-ai-langgraph.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LangBot or langgraph? LangBot: Very active. langgraph: 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 LangBot and langgraph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LangBot trust report](/tools/langbot-app-langbot/trust); [langgraph trust report](/tools/langchain-ai-langgraph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langbot-app-langbot`](/api/graphcanon/graph?tool=langbot-app-langbot) - 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/_