--- title: "openagent vs AdalFlow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/haohao-end-openagent-vs-sylphai-inc-adalflow" tools: ["haohao-end-openagent", "sylphai-inc-adalflow"] --- # openagent vs AdalFlow *GraphCanon updated Aug 21, 2026* ## Verdict Pick openagent if openAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license; pick AdalFlow if adalFlow is designed to streamline the development and automatic optimization of LLM applications. [openagent](https://openllm.cloud) reports 792 GitHub stars, 80 forks, and 46 open issues, last pushed Jul 17, 2026. [AdalFlow](http://adalflow.sylph.ai/) has 4.2k stars, 384 forks, and 68 open issues, last pushed May 29, 2026. Figures are from public GitHub metadata via [openagent's repository](https://github.com/Haohao-end/openagent) and [AdalFlow's repository](https://github.com/SylphAI-Inc/AdalFlow). | | [openagent](/tools/haohao-end-openagent.md) | [AdalFlow](/tools/sylphai-inc-adalflow.md) | | --- | --- | --- | | Tagline | Harness architecture for rapidly building vertical AI agents | The library to build & auto-optimize LLM applications. | | Stars | 792 | 4,196 | | Forks | 80 | 384 | | Open issues | 46 | 68 | | Language | Python | Python | | Adopt for | OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. | AdalFlow is designed to streamline the development and automatic optimization of LLM applications. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Data & Retrieval, Vector Databases | AI Agents, Data & Retrieval, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openagent](/tools/haohao-end-openagent.md) | [AdalFlow](/tools/sylphai-inc-adalflow.md) | | --- | --- | --- | | Days since push | 34d | 70d | | Open issues (now) | 46 | 68 | | Stars delta | +21 (30d) | Unknown | | Open issues delta | +1 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/haohao-end-openagent/trust.md) | [trust report](/tools/sylphai-inc-adalflow/trust.md) | ## Decision facts: openagent - **Adopt for:** OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. ## Decision facts: AdalFlow - **Adopt for:** AdalFlow is designed to streamline the development and automatic optimization of LLM applications. ## Choose when ### Choose openagent if… - Tags unique to openagent: celery, deepagents, deepresearch, docker. - Also covers Vector Databases. - Need integration of OpenAI and Dify functionalities. ### Choose AdalFlow if… - Tags unique to AdalFlow: auto-prompting, bm25, chatbot, faiss. - Also covers LLM Frameworks, Model Training. - When you are working on projects that require advanced AI agents or chatbots with auto-prompting features, as AdalFlow can handle these needs comprehensively. ## When NOT to use openagent - Projects requiring only basic AI functionality without deep reasoning loops or RAG. - Teams preferring non-Python environments for AI agent development. ## When NOT to use AdalFlow - Avoid using AdalFlow if your project does not benefit from auto-optimization features or does not involve LLM applications, as its specialized capabilities might introduce unnecessary complexity. - AdalFlow may not be the best choice for projects where custom or low-level control over all aspects of the AI model training and optimization is required, given it's designed to streamline processes. ## Common questions ### What is the difference between openagent and AdalFlow? openagent: Harness architecture for rapidly building vertical AI agents. AdalFlow: The library to build & auto-optimize LLM applications.. See the comparison table for live GitHub stats and shared categories. ### When should I choose openagent over AdalFlow? Choose openagent over AdalFlow when Tags unique to openagent: celery, deepagents, deepresearch, docker; Also covers Vector Databases; Need integration of OpenAI and Dify functionalities. ### When should I choose AdalFlow over openagent? Choose AdalFlow over openagent when Tags unique to AdalFlow: auto-prompting, bm25, chatbot, faiss; Also covers LLM Frameworks, Model Training; When you are working on projects that require advanced AI agents or chatbots with auto-prompting features, as AdalFlow can handle these needs comprehensively. ### When should I avoid openagent? Projects requiring only basic AI functionality without deep reasoning loops or RAG. Teams preferring non-Python environments for AI agent development. ### When should I avoid AdalFlow? Avoid using AdalFlow if your project does not benefit from auto-optimization features or does not involve LLM applications, as its specialized capabilities might introduce unnecessary complexity. AdalFlow may not be the best choice for projects where custom or low-level control over all aspects of the AI model training and optimization is required, given it's designed to streamline processes. ### Is openagent or AdalFlow more popular on GitHub? AdalFlow has more GitHub stars (4,196 vs 792). Stars measure visibility, not whether either tool fits your constraints. ### Are openagent and AdalFlow open source? Yes - both are open-source projects on GitHub (openagent: MIT, AdalFlow: MIT). ### Where can I find alternatives to openagent or AdalFlow? GraphCanon lists graph-backed alternatives at [openagent alternatives](/tools/haohao-end-openagent/alternatives) and [AdalFlow alternatives](/tools/sylphai-inc-adalflow/alternatives) ([openagent markdown twin](/tools/haohao-end-openagent/alternatives.md), [AdalFlow markdown twin](/tools/sylphai-inc-adalflow/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/haohao-end-openagent-vs-sylphai-inc-adalflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, openagent or AdalFlow? openagent: Steady. AdalFlow: Steady. 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 openagent and AdalFlow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openagent trust report](/tools/haohao-end-openagent/trust); [AdalFlow trust report](/tools/sylphai-inc-adalflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=haohao-end-openagent`](/api/graphcanon/graph?tool=haohao-end-openagent) - 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/_