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Sahil Mohan Bansal๐ 263 karmaNov 13, 2024@CodeRabbitReducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs -
Building multi-agent AI systems shouldnโt require wrestling with messy Python boilerplate, cloud subscription or complex local setups. I built AgentSwarms (AgentSwarms.fyi) to solve this. Itโs an interactive, in-browser visual sandbox for learning, building, testing, and orchestrating multi-agent AI workflows. Instead of relying on a single AI chatbot that easily hallucinates, AgentSwarms lets you drag and drop specialized AI agentsโlike data extractors, code reviewers, and SQL query nodesโto handle complex tasks reliably. Key features for builders: Visual Edge Tracing: Stop guessing why your AI failed. Click any connection line to see the exact JSON data passing between agents in real-time. In-Browser Execution: Powered by local DuckDB WASM. No backend setup required. Enterprise Templates: Test reverse-engineered Agenitic AI architectures for Cybersecurity, Finance, and E-commerce and 10+ industries right on the canvas. If you are tired of black-box AI debugging and want to master Agentic AI orchestration visually, come try the sandbox for free! Let me know what you think of the new execution history features. ๐ -
good for beginners & really awesome features, yet to be integrated within themselves -


