AI · alternatives · 2026

24 alternatives to PromptFlow – Build LLM flows as directed graphs

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. PromptFlow – Build LLM flows as directed graphs launched in 2023; newer entries below may have overtaken it.

1. 1
   PromptFlow – Low-Code GUI Tool to Chain LLM Prompts with Flowcharts▲7

   2023 · github.com · its alternatives →

2. 2
   Aster by AsterWise▲65

   Intelligent model routing for code, agents and workflows

   21d ago · asterwise.dev · its alternatives →

3. 3
   Liquid Inference▲84

   LLM router where providers compete for every prompt

   15d ago · liquidinference.ai · its alternatives →

4. 4
   Diagramly▲63

   Sketch systems at the speed you think

   9d ago · diagramly.xyz · its alternatives →

5. 5
   Sonnet▲134

   A new library for constructing neural networks from DeepMind

   2017 · deepmind.google · its alternatives →

6. 6
   Flow – A dynamic task engine for building AI agents▲160

   I think graph is a wrong abstraction for building AI agents. Just look at how incredibly hard it is to make routing using LangGraph - conditional edges are a mess. I built Laminar Flow to solve a common frustration with traditional workflow engines - the rigid need to predefine all node connections. Instead of static DAGs, Flow uses a dynamic task queue system that lets workflows evolve at runtime. Flow is built on 3 core principles: * Concurrent Execution - Tasks run in parallel automatically * Dynamic Scheduling - Tasks can schedule new tasks at runtime * Smart Dependencies - Tasks can…

   2024 · github.com · its alternatives →

7. 7
   Reika▲72

   A coding agent CLI designed around small local models first

   16d ago · reikacode.com · its alternatives →

8. 8
   ContextsBasefree tier▲75

   Context Infrastructure for Coding Agents

   Sep 2026 · contextsbase.com · its alternatives →

9. 9
   LLM Flow▲4

   Chain AI tasks easily. Build powerful workflows in stages

   Mar 2026 · llmflow.space · its alternatives →

10. 10
    A Node Editor for LLMs with Semantic Kernel▲8

    2023 · docs.anyassistant.ai · its alternatives →

11. 11
    Silver Flows▲6

    Lightweight prototyping directly in Sketch

    2015 · silverflows.com · its alternatives →

12. 12LA
    Layers: A multidimensional code environment▲7

    2016 · indiegogo.com · its alternatives →

13. 13DA
    DGM: A free online diagramming for the Web and AI▲5

    2024 · dgm.sh · its alternatives →

14. 14AJ
    A Jira integration for LLM-assisted technical refinements▲6

    2024 · pr-pilot.ai · its alternatives →

15. 15MA
    MLflow – A platform for the complete machine learning▲5

    2018 · mlflow.org · its alternatives →

16. 16
    Goku – WASM (wllama)-powered LLM inference and model manager▲9

    Jul 2026 · userfrom1995.github.io · its alternatives →

17. 17
    Pipelines: framework and language for crafting data pipelines▲5

    An experimental programming language for data flow - calebwin/pipelines

    2019 · github.com · its alternatives →

18. 18
    Poodle, Python-to-PDDL Compiler and AI Planning SDK▲9

    2019 · github.com · its alternatives →

19. 19SA
    SOSML – An online interpreter for SML▲6

    2019 · sosml.discourse.ps.uni-saarland.de · its alternatives →

20. 20RL
    Refuel-LLM, a large language model for data annotation and enrichment▲9

    2023 · app.refuel.ai · its alternatives →

21. 21
    PromptFlow▲6

    Low-Code GUI Tool for Building LLM Prompt Flowcharts

    2023 · its alternatives →

22. 22
    Flowstate – A Kind of Copilot for Web App▲5

    2024 · flowstate.so · its alternatives →

23. 23
    LLM Flow▲8

    Build AI Flows with Drag and Drop

    2024 · llmflow.netlify.app · its alternatives →

24. 24MF
    Minim – Fast, Flat and File-Based BMS▲8

    2017 · minim.one · its alternatives →

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →