--- title: "anything-llm vs orloj" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-orlojhq-orloj" tools: ["mintplex-labs-anything-llm", "orlojhq-orloj"] --- # anything-llm vs orloj *GraphCanon updated Sep 20, 2026* ## Verdict Pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows; pick orloj if orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [orloj](https://orloj.dev) has 121 stars, 18 forks, and 39 open issues, last pushed Sep 11, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [orloj's repository](https://github.com/OrlojHQ/orloj). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [orloj](/tools/orlojhq-orloj.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | An orchestration runtime for multi-agent AI systems. | | Stars | 66,167 | 121 | | Forks | 7,349 | 18 | | Open issues | 315 | 39 | | Language | JavaScript | Go | | Adopt for | anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. | Orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | 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, Inference & Serving | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [orloj](/tools/orlojhq-orloj.md) | | --- | --- | --- | | Open issues (now) | 315 | 39 | | Stars delta | +1.5k (30d) | +8 (30d) | | Open issues delta | -4 (30d) | +1 (30d) | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/orlojhq-orloj/trust.md) | ## Decision facts: anything-llm - **Pricing:** freemium - Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment. - **Adopt for:** anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. - **License detail:** MIT License, allowing for free use, modification, and distribution. ## 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 anything-llm if… - anything-llm is primarily JavaScript; orloj is Go. - License: anything-llm is MIT, orloj is Apache-2.0. - Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.. - Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.. - Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-workflow. - Also covers Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ### Choose orloj if… - orloj is primarily Go; anything-llm is JavaScript. - License: orloj is Apache-2.0, anything-llm 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-orchestration, ai-governance, declarative. - 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 anything-llm - If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. - When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ## 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 anything-llm and orloj? anything-llm: Self-hosted AI agent experience. orloj: An orchestration runtime for multi-agent AI systems.. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over orloj? Choose anything-llm over orloj when anything-llm is primarily JavaScript; orloj is Go; License: anything-llm is MIT, orloj is Apache-2.0; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-workflow; Also covers Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### When should I choose orloj over anything-llm? Choose orloj over anything-llm when orloj is primarily Go; anything-llm is JavaScript; License: orloj is Apache-2.0, anything-llm 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-orchestration, ai-governance, declarative; 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 anything-llm? If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ### 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 anything-llm or orloj more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 121). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and orloj open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, orloj: Apache-2.0). ### Where can I find alternatives to anything-llm or orloj? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [orloj alternatives](/tools/orlojhq-orloj/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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/mintplex-labs-anything-llm-vs-orlojhq-orloj.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or orloj? anything-llm: 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 anything-llm and orloj? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [orloj trust report](/tools/orlojhq-orloj/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mintplex-labs-anything-llm`](/api/graphcanon/graph?tool=mintplex-labs-anything-llm) - 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/_