Codag
Free, shareable workflow graphs.
What it does
Visualize your LLM workflows as interactive & shareable graphs. Point Codag at your codebase — it maps every LLM call, branch, and data flow. Click any node to jump to source. Live updates as you code. Self-hosted, open source.
Does the same job
all alternatives →- CVCodag – Visualize and share LLM workflows in VS CodeFeb 2026 · github.com · ▲6
I built Codag because I kept getting lost in my own AI code. You're chaining 3 LLM calls across 5 files. A prompt change breaks something downstream. Which call? Which branch? You grep for "openai.chat", open 8 tabs, trace the flow manually. Codag automates this: - Point it at your codebase and it extracts every LLM call, decision branch, and processing step - Renders an interactive and shareable DAG with clickable nodes that link back to source - Live updates as you edit using tree-sitter — no waiting for re-analysis Supports OpenAI, Anthropic, Gemini, LangChain, LangGraph, CrewAI, and…
- TATurn any workflow diagram into compilable, running and stateful code2025 · workflows.diagrid.io · ▲109
Hi HN folks, I'm a co-creator of the Dapr CNCF project and co-founder of Diagrid. Today we announced a free-to-use web app that takes any form of workflow diagram (UML, BPMN, scribble in your favorite drawing tool or even on paper) and generates code that runs in any IDE and that can be deployed to Kubernetes and other container based systems, based on Dapr's durable execution workflow engine. This essentially allows you to run durable workflows in minutes and leaves out the guesswork for how to structure, code and optimize a code-first workflow app. I'm happy for you to give this a try and…
- CCCodeLink: create links to blocks of code in your IDE2022 · codelink.dev · ▲89
Small team down here in South New Zealand just launched CodeLink. In short its an IDE (VSCode/JetBrains) plugin that lets you share blocks of code that link directly to the code inside your IDE or repo. We use it all the time and think its pretty nifty tech that lets you understand someone’s code in context very quickly. we’re hoping to keep refining it to make it better and more useful.
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