--- title: "prompttools vs agentflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hegelai-prompttools-vs-simonmesmith-agentflow" tools: ["hegelai-prompttools", "simonmesmith-agentflow"] --- # prompttools vs agentflow *GraphCanon updated Sep 20, 2026* ## Verdict Pick prompttools if prompttools is an open-source suite for prompt testing and experimentation, supporting both LLMs and vector databases, making it a versatile choice for developers and researchers working with AI models and data retrieval; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. [prompttools](http://prompttools.readthedocs.io) reports 3.1k GitHub stars, 256 forks, and 43 open issues, last pushed Feb 11, 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 [prompttools's repository](https://github.com/hegelai/prompttools) and [agentflow's repository](https://github.com/simonmesmith/agentflow). | | [prompttools](/tools/hegelai-prompttools.md) | [agentflow](/tools/simonmesmith-agentflow.md) | | --- | --- | --- | | Tagline | Open-source tools for prompt testing and experimentation | Complex LLM Workflows from Simple JSON | | Stars | 3,055 | 320 | | Forks | 256 | 27 | | Open issues | 43 | 13 | | Language | Python | Python | | Adopt for | Prompttools is an open-source suite for prompt testing and experimentation, supporting both LLMs and vector databases, making it a versatile choice for developers and researchers working with AI models and data retrieval | Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. | | Persona | - | - | | Runtime | - | - | | License | Prompttools is distributed under the Apache-2.0 license, allowing for broad use in both commercial and open-source projects | MIT | | Categories | Developer Tools, LLM Frameworks, Vector Databases | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompttools](/tools/hegelai-prompttools.md) | [agentflow](/tools/simonmesmith-agentflow.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 219d | 1100d | | Open issues (now) | 43 | 13 | | Stars delta | +9 (30d) | -1 (30d) | | Open issues delta | +2 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/hegelai-prompttools/trust.md) | [trust report](/tools/simonmesmith-agentflow/trust.md) | ## Decision facts: prompttools - **Requirements:** Min 4 GB RAM; Python environment is required for using Prompttools - **Adopt for:** Prompttools is an open-source suite for prompt testing and experimentation, supporting both LLMs and vector databases, making it a versatile choice for developers and researchers working with AI models and data retrieval - **License detail:** Prompttools is distributed under the Apache-2.0 license, allowing for broad use in both commercial and open-source projects ## Decision facts: agentflow - **Adopt for:** Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. ## Choose when ### Choose prompttools if… - License: prompttools is Apache-2.0, agentflow is MIT. - Requirements: Min 4 GB RAM; Python environment is required for using Prompttools. - Tags unique to prompttools: deep-learning, embeddings, llms, machine-learning. - Also covers Developer Tools, Vector Databases. - When you need to test and experiment with prompts for LLMs such as OpenAI and LLaMA, and vector databases like Chroma, Weaviate, and LanceDB ### Choose agentflow if… - License: agentflow is MIT, prompttools is Apache-2.0. - Tags unique to agentflow: json, workflow-management. - Also covers AI Agents. - When you need to rapidly prototype LLM workflows with minimal coding via JSON configs ## When NOT to use prompttools - If your project is strictly focused on a single AI framework that does not require prompt testing or experimentation with vector databases - When you are working in an environment where the Apache-2.0 license is not compatible with your project's licensing requirements ## 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 prompttools and agentflow? prompttools: Open-source tools for prompt testing and experimentation. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompttools over agentflow? Choose prompttools over agentflow when License: prompttools is Apache-2.0, agentflow is MIT; Requirements: Min 4 GB RAM; Python environment is required for using Prompttools; Tags unique to prompttools: deep-learning, embeddings, llms, machine-learning; Also covers Developer Tools, Vector Databases; When you need to test and experiment with prompts for LLMs such as OpenAI and LLaMA, and vector databases like Chroma, Weaviate, and LanceDB. ### When should I choose agentflow over prompttools? Choose agentflow over prompttools when License: agentflow is MIT, prompttools is Apache-2.0; Tags unique to agentflow: json, workflow-management; Also covers AI Agents; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs. ### When should I avoid prompttools? If your project is strictly focused on a single AI framework that does not require prompt testing or experimentation with vector databases When you are working in an environment where the Apache-2.0 license is not compatible with your project's licensing requirements ### 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 prompttools or agentflow more popular on GitHub? prompttools has more GitHub stars (3,055 vs 320). Stars measure visibility, not whether either tool fits your constraints. ### Are prompttools and agentflow open source? Yes - both are open-source projects on GitHub (prompttools: Apache-2.0, agentflow: MIT). ### Where can I find alternatives to prompttools or agentflow? GraphCanon lists graph-backed alternatives at [prompttools alternatives](/tools/hegelai-prompttools/alternatives) and [agentflow alternatives](/tools/simonmesmith-agentflow/alternatives) ([prompttools markdown twin](/tools/hegelai-prompttools/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/hegelai-prompttools-vs-simonmesmith-agentflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompttools or agentflow? prompttools: 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 prompttools and agentflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompttools trust report](/tools/hegelai-prompttools/trust); [agentflow trust report](/tools/simonmesmith-agentflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hegelai-prompttools`](/api/graphcanon/graph?tool=hegelai-prompttools) - 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/_