Alternatives

Products that do what PromptFlow – Build LLM flows as directed graphs does

1
Nex▲351
Claude Cowork for high-volume GTM workflows
4d ago · nex.ai
2AF
A flow based data processing editor▲188
2021 · datablocks.pro
3PL
PromptFlow – Low-Code GUI Tool to Chain LLM Prompts with Flowcharts▲7
2023 · github.com
4TA
TerminusDB – An open source in-memory graph database▲231
2020 · terminusdb.com
5TF
Tasky – Flow diagram task management▲19
2020 · tasky.fyreworks.us
6FA
Flowy – A minimal JavaScript library to create flowcharts▲52
2019 · github.com
7CI
“Crafting Interpreters” chapter, control flow and Turing-completeness▲116
2017 · craftinginterpreters.com
8HA
Hypergraph, a data structure library to generate directed hypergraphs▲47
2021 · github.com
9FP
Flow Playground – learn resource-oriented programming▲31
2020 · onflow.org
10PS
PromptQL – Solving Context Size and Accuracy Issues in LLM Tool Calling▲6
2024 · promptql.hasura.io
11GR
GraphReFly – Reactive graph protocol for human and LLM co-operation▲5
Apr 2026 · graphrefly.dev
12AV
A Visual Guide to Graph Traversal Algorithms▲15
2016 · workshape.github.io
13AO
An open souce graph database written in Prolog and Rust▲29
2020 · github.com
14LP
L1-path-finder, a fast path planner for grids▲30
2015 · mikolalysenko.github.io
15WA
Weaver, a fast and scalable store for dynamically changing graphs▲23
2014 · hackingdistributed.com
16LE
Lazily-evaluated graphs from sympy expressions▲5
2019 · github.com
17
LLM Flow▲4
Chain AI tasks easily. Build powerful workflows in stages
Mar 2026
18IL
ICortex: LLM Powered Python Interpreter▲8
2023 · github.com
19AN
A Node Editor for LLMs with Semantic Kernel▲8
2023 · docs.anyassistant.ai
20OP
One Prompt – A super framework for prompt engineering▲6
2024 · github.com
21LA
Local automation runner with built-in LLM steps – YAML pipelines▲5
Jun 2026 · rorlikowski.github.io
22PA
PromptQL – AI-Native Slack▲6
Mar 2026 · promptql.io
23AO
Auto-optimizing deterministic LLM outputs using knowledge graphs▲7
Hi, We are building an open-source framework for loading and structuring LLM context to create accurate and explainable LLM answers using knowledge graphs and vector stores. We built the tool with four main concepts in mind: 1. Loader -> uses dlt in the backend to load and structure the data 2. Cognify step -> creates a graph with summaries, labels and factoids that are interconnected across the documents and stored as a representation in the vector store 3. Optimizer -> Uses DSPy to optimize LLM queries, and we plan to extend it to most of the knobs we can turn, like chunking etc. 4. Search…
2024 · github.com
24VA
Virgo, a graph-based configuration language▲7
2020 · matt-rickard.com

Ranked by how close each launch is in meaning, then by votes. Refine with a description →