Codag – Visualize and share LLM workflows in VS Code
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…
Codag – Visualize and share LLM workflows in VS Code launched on February 4, 2026 with 6 votes, #1,572 of 16,627 launches that month and more than 75% of that year's launches.
What it does
Visualize AI/LLM workflows in your codebase. Contribute to codag-megalith/codag-visualizer development by creating an account on GitHub.
Codag analyzes your code for LLM API calls and AI frameworks, then generates interactive workflow graphs — directly inside VSCode. If you find Codag useful, please consider giving it a ⭐ — it helps others discover the project! You're building an AI agent that chains 3 LLM calls across 5 files. A prompt change breaks something downstream. Which call? Which branch? You grep for openai.chat , open 8 tabs, and mentally trace the flow. Again. Or you're onboarding onto someone's LangChain project — 20 files, tool calls inside tool calls, retry logic wrapping everything. The README says "it's straightforward." It's not. Built for AI engineers, agent builders, and anyone maintaining code that talks…from github.com
In the maker’s words, at launch
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…
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