--- title: "agenta vs llm-workflow-engine" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agenta-ai-agenta-vs-llm-workflow-engine-llm-workflow-engine" tools: ["agenta-ai-agenta", "llm-workflow-engine-llm-workflow-engine"] --- # agenta vs llm-workflow-engine *GraphCanon updated Aug 8, 2026* ## Verdict Pick agenta if agenta, an open-source LLMOps platform for prompt management, evaluation, and observability; pick llm-workflow-engine if critical Decision Factors for 'llm-workflow-engine'. [agenta](http://www.agenta.ai) reports 4.4k GitHub stars, 609 forks, and 270 open issues, last pushed Aug 7, 2026. [llm-workflow-engine](https://github.com/llm-workflow-engine/llm-workflow-engine) has 3.7k stars, 468 forks, and 3 open issues, last pushed Jul 15, 2026. Figures are from public GitHub metadata via [agenta's repository](https://github.com/Agenta-AI/agenta) and [llm-workflow-engine's repository](https://github.com/llm-workflow-engine/llm-workflow-engine). | | [agenta](/tools/agenta-ai-agenta.md) | [llm-workflow-engine](/tools/llm-workflow-engine-llm-workflow-engine.md) | | --- | --- | --- | | Tagline | The open-source LLMOps platform for prompt management, evaluation, and observability. | Power CLI and Workflow manager for LLMs (core package) | | Stars | 4,445 | 3,720 | | Forks | 609 | 468 | | Open issues | 270 | 3 | | Language | TypeScript | Python | | Adopt for | Agenta, an open-source LLMOps platform for prompt management, evaluation, and observability. | Critical Decision Factors for 'llm-workflow-engine' | | Persona | - | - | | Runtime | - | - | | License | Other | MIT-licensed, offering flexibility under non-restrictive open-source terms. | | Categories | Evaluation & Observability, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agenta](/tools/agenta-ai-agenta.md) | [llm-workflow-engine](/tools/llm-workflow-engine-llm-workflow-engine.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 23d | | Open issues (now) | 270 | 3 | | Stars delta | +170 (30d) | Unknown | | Open issues delta | +109 (30d) | Unknown | | Full report | [trust report](/tools/agenta-ai-agenta/trust.md) | [trust report](/tools/llm-workflow-engine-llm-workflow-engine/trust.md) | ## Decision facts: agenta - **Adopt for:** Agenta, an open-source LLMOps platform for prompt management, evaluation, and observability. ## Decision facts: llm-workflow-engine - **Requirements:** Built for a Python environment which may not fully cater to workflows outside of this language. - **Adopt for:** Critical Decision Factors for 'llm-workflow-engine' - **License detail:** MIT-licensed, offering flexibility under non-restrictive open-source terms. ## Choose when ### Choose agenta if… - agenta is primarily TypeScript; llm-workflow-engine is Python. - License: agenta is Other, llm-workflow-engine is MIT. - Tags unique to agenta: agents, evaluation, llm-as-a-judge, llm-evaluation. - Also covers Evaluation & Observability. - Need a self-hosted solution with built-in prompt playground and LLM evaluation capabilities ### Choose llm-workflow-engine if… - llm-workflow-engine is primarily Python; agenta is TypeScript. - License: llm-workflow-engine is MIT, agenta is Other. - Requirements: Built for a Python environment which may not fully cater to workflows outside of this language.. - Tags unique to llm-workflow-engine: chatbot, chatgpt, gpt-3, gpt3. - Also covers Developer Tools. - llm-workflow-engine ships Docker support for self-hosted deployment. - When developing workflows around Large Language Models (LLMs), particularly if your projects are Python-based, to streamline model integration and management via CLI. ## When NOT to use agenta - Looking for a service without the need to manage self-hosting setup - Require real-time collaboration features that are not provided within this platform's scope ## When NOT to use llm-workflow-engine - Avoid using llm-workflow-engine if you need deep integrations with proprietary systems that are incompatible with MIT licensing terms and conditions. - Do not use this tool if your primary development environment is not Python-based, as the effectiveness of the CLI and workflow manager might be limited without Python support. ## Common questions ### What is the difference between agenta and llm-workflow-engine? agenta: The open-source LLMOps platform for prompt management, evaluation, and observability.. llm-workflow-engine: Power CLI and Workflow manager for LLMs (core package). See the comparison table for live GitHub stats and shared categories. ### When should I choose agenta over llm-workflow-engine? Choose agenta over llm-workflow-engine when agenta is primarily TypeScript; llm-workflow-engine is Python; License: agenta is Other, llm-workflow-engine is MIT; Tags unique to agenta: agents, evaluation, llm-as-a-judge, llm-evaluation; Also covers Evaluation & Observability; Need a self-hosted solution with built-in prompt playground and LLM evaluation capabilities. ### When should I choose llm-workflow-engine over agenta? Choose llm-workflow-engine over agenta when llm-workflow-engine is primarily Python; agenta is TypeScript; License: llm-workflow-engine is MIT, agenta is Other; Requirements: Built for a Python environment which may not fully cater to workflows outside of this language.; Tags unique to llm-workflow-engine: chatbot, chatgpt, gpt-3, gpt3; Also covers Developer Tools; llm-workflow-engine ships Docker support for self-hosted deployment; When developing workflows around Large Language Models (LLMs), particularly if your projects are Python-based, to streamline model integration and management via CLI. ### When should I avoid agenta? Looking for a service without the need to manage self-hosting setup Require real-time collaboration features that are not provided within this platform's scope ### When should I avoid llm-workflow-engine? Avoid using llm-workflow-engine if you need deep integrations with proprietary systems that are incompatible with MIT licensing terms and conditions. Do not use this tool if your primary development environment is not Python-based, as the effectiveness of the CLI and workflow manager might be limited without Python support. ### Is agenta or llm-workflow-engine more popular on GitHub? agenta has more GitHub stars (4,445 vs 3,720). Stars measure visibility, not whether either tool fits your constraints. ### Are agenta and llm-workflow-engine open source? Yes - both are open-source projects on GitHub (agenta: Other, llm-workflow-engine: MIT). ### Where can I find alternatives to agenta or llm-workflow-engine? GraphCanon lists graph-backed alternatives at [agenta alternatives](/tools/agenta-ai-agenta/alternatives) and [llm-workflow-engine alternatives](/tools/llm-workflow-engine-llm-workflow-engine/alternatives) ([agenta markdown twin](/tools/agenta-ai-agenta/alternatives.md), [llm-workflow-engine markdown twin](/tools/llm-workflow-engine-llm-workflow-engine/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/agenta-ai-agenta-vs-llm-workflow-engine-llm-workflow-engine.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agenta or llm-workflow-engine? agenta: Very active. llm-workflow-engine: 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 agenta and llm-workflow-engine? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agenta trust report](/tools/agenta-ai-agenta/trust); [llm-workflow-engine trust report](/tools/llm-workflow-engine-llm-workflow-engine/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agenta-ai-agenta`](/api/graphcanon/graph?tool=agenta-ai-agenta) - 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/_