--- title: "Promptify vs agentflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/promptslab-promptify-vs-simonmesmith-agentflow" tools: ["promptslab-promptify", "simonmesmith-agentflow"] --- # Promptify vs agentflow *GraphCanon updated Aug 16, 2026* ## Verdict Pick Promptify if promptify is a Python library designed for task-based Natural Language Processing with Pydantic structured outputs and built-in evaluation features, leveraging LiteLLM as its universal LLM backend. It supports prompt版本控制; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. [Promptify](https://discord.gg/m88xfYMbK6) reports 4.6k GitHub stars, 363 forks, and 60 open issues, last pushed Mar 27, 2026. [agentflow](https://github.com/simonmesmith/agentflow) has 320 stars, 27 forks, and 13 open issues, last pushed Aug 11, 2023. Figures are from public GitHub metadata via [Promptify's repository](https://github.com/promptslab/Promptify) and [agentflow's repository](https://github.com/simonmesmith/agentflow). | | [Promptify](/tools/promptslab-promptify.md) | [agentflow](/tools/simonmesmith-agentflow.md) | | --- | --- | --- | | Tagline | Task-based NLP engine with Pydantic structured outputs | Complex LLM Workflows from Simple JSON | | Stars | 4,630 | 320 | | Forks | 363 | 27 | | Open issues | 60 | 13 | | Language | Python | Python | | Adopt for | Promptify is a Python library designed for task-based Natural Language Processing with Pydantic structured outputs and built-in evaluation features, leveraging LiteLLM as its universal LLM backend. It supports prompt版本控制 | Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. | | Persona | - | - | | Runtime | - | - | | License | Promptify is available under the Apache-2.0 license, granting users permissions to use, modify, distribute, and sell this software. | MIT | | Categories | Evaluation & Observability, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Promptify](/tools/promptslab-promptify.md) | [agentflow](/tools/simonmesmith-agentflow.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 133d | 1100d | | Open issues (now) | 60 | 13 | | Stars delta | +11 (30d) | -1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/promptslab-promptify/trust.md) | [trust report](/tools/simonmesmith-agentflow/trust.md) | ## Shared compatibility - **Python**: [Promptify](/tools/promptslab-promptify.md) - Python runtime; [agentflow](/tools/simonmesmith-agentflow.md) - Python runtime ## Decision facts: Promptify - **Requirements:** Requires Python 3.9 or higher; Can be installed via pip or directly from GitHub - **Adopt for:** Promptify is a Python library designed for task-based Natural Language Processing with Pydantic structured outputs and built-in evaluation features, leveraging LiteLLM as its universal LLM backend. It supports prompt版本控制 - **License detail:** Promptify is available under the Apache-2.0 license, granting users permissions to use, modify, distribute, and sell this software. ## Decision facts: agentflow - **Adopt for:** Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. ## Choose when ### Choose Promptify if… - License: Promptify is Apache-2.0, agentflow is MIT. - Requirements: Requires Python 3.9 or higher; Can be installed via pip or directly from GitHub. - Tags unique to Promptify: chatgpt, chatgpt-api, gpt-3, gpt-4. - Also covers Evaluation & Observability. - When your application requires structured NLP outputs with clear schemas defined using Pydantic ### Choose agentflow if… - License: agentflow is MIT, Promptify is Apache-2.0. - Tags unique to agentflow: json, large language models, python, workflow-management. - Also covers AI Agents. - When you need to rapidly prototype LLM workflows with minimal coding via JSON configs ## When NOT to use Promptify - When your project does not require structured outputs or if Pydantic schemas are not suitable for your use case - If you do not need built-in evaluation metrics for prompt performance and prefer more customization in the evaluation process - In situations where integration with only a few specific LLMs is required, as Promptify's advantage lies in its flexibility across various providers ## When NOT to use agentflow - Avoid if requiring advanced customization that goes beyond basic JSON configurations - Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution ## Common questions ### What is the difference between Promptify and agentflow? Promptify: Task-based NLP engine with Pydantic structured outputs. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories. ### When should I choose Promptify over agentflow? Choose Promptify over agentflow when License: Promptify is Apache-2.0, agentflow is MIT; Requirements: Requires Python 3.9 or higher; Can be installed via pip or directly from GitHub; Tags unique to Promptify: chatgpt, chatgpt-api, gpt-3, gpt-4; Also covers Evaluation & Observability; When your application requires structured NLP outputs with clear schemas defined using Pydantic. ### When should I choose agentflow over Promptify? Choose agentflow over Promptify when License: agentflow is MIT, Promptify is Apache-2.0; Tags unique to agentflow: json, large language models, python, workflow-management; Also covers AI Agents; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs. ### When should I avoid Promptify? When your project does not require structured outputs or if Pydantic schemas are not suitable for your use case If you do not need built-in evaluation metrics for prompt performance and prefer more customization in the evaluation process In situations where integration with only a few specific LLMs is required, as Promptify's advantage lies in its flexibility across various providers ### When should I avoid agentflow? Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution ### Is Promptify or agentflow more popular on GitHub? Promptify has more GitHub stars (4,630 vs 320). Stars measure visibility, not whether either tool fits your constraints. ### Are Promptify and agentflow open source? Yes - both are open-source projects on GitHub (Promptify: Apache-2.0, agentflow: MIT). ### Where can I find alternatives to Promptify or agentflow? GraphCanon lists graph-backed alternatives at [Promptify alternatives](/tools/promptslab-promptify/alternatives) and [agentflow alternatives](/tools/simonmesmith-agentflow/alternatives) ([Promptify markdown twin](/tools/promptslab-promptify/alternatives.md), [agentflow markdown twin](/tools/simonmesmith-agentflow/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/promptslab-promptify-vs-simonmesmith-agentflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Promptify or agentflow? Promptify: Slowing. agentflow: Dormant. 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 Promptify and agentflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Promptify trust report](/tools/promptslab-promptify/trust); [agentflow trust report](/tools/simonmesmith-agentflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=promptslab-promptify`](/api/graphcanon/graph?tool=promptslab-promptify) - 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/_