I built a visual multi-agent workflow editor that exports runnable CrewAI code — here’s a 5-agent workflow running locally with Ollama

I've been building AgentGraph Studio, a visual editor for designing multi-agent workflows and exporting them as runnable Python code. One thing I wanted to verify was whether the generated code actually works outside the editor — especially once the workflow gets more complex than a simple 1–2 agent chain. So I built this 5-agent workflow: Local AI Researcher AI Comparison Analyst AI Risk Analyst Technical Content Editor Technical Writer The workflow branches after the research step into separate comparison and risk-analysis tasks, merges those results, and then passes the combined context into the final writing task. In the demo, I: Design the workflow visually Select Llama 3 through Ollama Generate CrewAI Python code Run the exported code locally Let the full 5-agent workflow complete and produce the final output The execution in the video is actually running locally through Ollama — it isn't a simulated preview inside the editor. The project is still early. The core today is mainly: visual Agent / Task workflow design explicit task dependencies, including branching and merging model selection, including local Ollama models JSON import/export executable CrewAI code generation The longer-term direction I'm exploring is moving beyond "draw a workflow and export code" toward "design, evaluate, and compare agent systems." Some of the areas I'm interested in exploring are workflow readiness, reliability, latency, cost/resource tradeoffs, evidence/confidence, failure simulation, and eventually comparing the same workflow across different models or agent frameworks. Those evaluation features aren't all implemented yet — I'm trying to validate which of them would actually be useful before building too far ahead. So I'd especially like feedback from people who build with local LLMs or agent frameworks: What would you want to inspect before trusting a generated agent workflow? What failures are hardest for you to catch today? Would comparing the same workflow across models/frameworks be useful? What would make a visual tool like this genuinely useful in your workflow? Criticism is very welcome. I'm trying to make this more than just a visual way to write agent configuration. You can try it yourself — link in the comments. submitted by /u/Straight_Spinach1284 [link] [comments]

Source: r/ollama | 2026-08-20

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