--- title: "langgraph vs orloj" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langgraph-vs-orlojhq-orloj" tools: ["langchain-ai-langgraph", "orlojhq-orloj"] --- # langgraph vs orloj *GraphCanon updated Aug 9, 2026* ## Verdict 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 management capabilities; pick orloj if orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files. [langgraph](https://docs.langchain.com/oss/python/langgraph/) reports 38k GitHub stars, 6.5k forks, and 647 open issues, last pushed Jul 28, 2026. [orloj](https://orloj.dev) has 113 stars, 15 forks, and 38 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [langgraph's repository](https://github.com/langchain-ai/langgraph) and [orloj's repository](https://github.com/OrlojHQ/orloj). | | [langgraph](/tools/langchain-ai-langgraph.md) | [orloj](/tools/orlojhq-orloj.md) | | --- | --- | --- | | Tagline | Low-level orchestration framework for building stateful agents. | An orchestration runtime for multi-agent AI systems. | | Stars | 38,352 | 113 | | Forks | 6,458 | 15 | | Open issues | 647 | 38 | | Language | Python | Go | | 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. | Orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 - The Apache License, Version 2.0 grants permission to use, study, change, and distribute the software -- commercially or non-commercially. | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langgraph](/tools/langchain-ai-langgraph.md) | [orloj](/tools/orlojhq-orloj.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 647 | 38 | | Full report | [trust report](/tools/langchain-ai-langgraph/trust.md) | [trust report](/tools/orlojhq-orloj/trust.md) | ## 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. ## Decision facts: orloj - **Requirements:** The tool is designed with a strong emphasis on declarative system definitions and orchestration through YAML files. - **Adopt for:** Orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files. - **License detail:** Apache-2.0 - The Apache License, Version 2.0 grants permission to use, study, change, and distribute the software -- commercially or non-commercially. ## Choose when ### Choose langgraph if… - langgraph is primarily Python; orloj is Go. - License: langgraph is MIT, orloj 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, enterprise, framework, langchain. - When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management. ### Choose orloj if… - orloj is primarily Go; langgraph is Python. - License: orloj is Apache-2.0, langgraph is MIT. - Requirements: The tool is designed with a strong emphasis on declarative system definitions and orchestration through YAML files.. - Tags unique to orloj: agent-framework, agentic-ai, agentic-orchestration, ai-governance. - orloj ships Docker support for self-hosted deployment. - You need an orchestration service specifically designed for managing interactions among multiple AI agents where production-grade operation is critical. ## 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. ## When NOT to use orloj - If your multi-agent system does not benefit from the YAML-based orchestration model or if you require a non-Go runtime environment. - When governance functionalities for your AI systems are less critical as Orloj's governance capabilities might be overkill for simpler applications. ## Common questions ### What is the difference between langgraph and orloj? langgraph: Low-level orchestration framework for building stateful agents.. orloj: An orchestration runtime for multi-agent AI systems.. See the comparison table for live GitHub stats and shared categories. ### When should I choose langgraph over orloj? Choose langgraph over orloj when langgraph is primarily Python; orloj is Go; License: langgraph is MIT, orloj 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, enterprise, framework, langchain; 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 choose orloj over langgraph? Choose orloj over langgraph when orloj is primarily Go; langgraph is Python; License: orloj is Apache-2.0, langgraph is MIT; Requirements: The tool is designed with a strong emphasis on declarative system definitions and orchestration through YAML files.; Tags unique to orloj: agent-framework, agentic-ai, agentic-orchestration, ai-governance; orloj ships Docker support for self-hosted deployment; You need an orchestration service specifically designed for managing interactions among multiple AI agents where production-grade operation is critical. ### 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. ### When should I avoid orloj? If your multi-agent system does not benefit from the YAML-based orchestration model or if you require a non-Go runtime environment. When governance functionalities for your AI systems are less critical as Orloj's governance capabilities might be overkill for simpler applications. ### Is langgraph or orloj more popular on GitHub? langgraph has more GitHub stars (38,352 vs 113). Stars measure visibility, not whether either tool fits your constraints. ### Are langgraph and orloj open source? Yes - both are open-source projects on GitHub (langgraph: MIT, orloj: Apache-2.0). ### Where can I find alternatives to langgraph or orloj? GraphCanon lists graph-backed alternatives at [langgraph alternatives](/tools/langchain-ai-langgraph/alternatives) and [orloj alternatives](/tools/orlojhq-orloj/alternatives) ([langgraph markdown twin](/tools/langchain-ai-langgraph/alternatives.md), [orloj markdown twin](/tools/orlojhq-orloj/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/langchain-ai-langgraph-vs-orlojhq-orloj.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langgraph or orloj? langgraph: Very active. orloj: 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 langgraph and orloj? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langgraph trust report](/tools/langchain-ai-langgraph/trust); [orloj trust report](/tools/orlojhq-orloj/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-langgraph`](/api/graphcanon/graph?tool=langchain-ai-langgraph) - 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/_