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Rohan Ghosh🛠️ 1 tool 🙏 4 karmaMay 12, 2026@AgentSwarmsBuilding multi-agent AI systems shouldn’t require wrestling with messy Python boilerplate, cloud subscription or complex local setups. I built AgentSwarms (AgentSwarms.fyi) to solve this. It’s 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 agents—like data extractors, code reviewers, and SQL query nodes—to 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. 🚀 -
Canopy API v2: Faster Amazon data, lower high-volume pricing, and MCP support
Canopy API v2 is live. This release is focused on three things: speed, reliability, and making Amazon product data dead simple to plug into AI agents.
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MCP server for AI agents. Canopy now ships a native MCP integration alongside our GraphQL and REST APIs. Connect Claude, Cursor, or any MCP-compatible agent to live Amazon product data, search results, pricing, and seller information with a single config entry. No wrapper code, no glue scripts.
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Three ways to query, one data layer. GraphQL when you want precise, nested queries in a single request. REST with a full OpenAPI 3.1 spec when you want simple, predictable endpoints. MCP when the consumer is an agent instead of an app. All three run on the same infrastructure and return the same normalized product data.
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Performance improvements. We rearchitected request batching and caching across our edge network. Typical product lookups now return in 200ms at p95, and multi-product queries are dramatically faster thanks to smarter request handling.
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Data reliability improvements. New retry and validation layers mean fewer empty fields, fewer stale prices, and consistent product schemas across marketplaces. If we return a field, you can trust it.
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Lower prices at volume. High-volume tiers got a real price cut. Requests beyond 20K per month now cost up to 50% less, and usage-based billing means you only pay for what you actually pull.
Whether you're building price trackers, market research tools, or AI shopping agents, v2 is the fastest way to get structured Amazon data into your product. Start at canopyapi.co.
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I’m no longer worried about office devices or Wi-Fi being blocked when using AI. With that "AI You Can Text" feature, where Anuma can be accessed via SMS or iMessage, all those problems are gone. Plus, I’m not worried about data security either, because all our interactions stored in the Private Memory are end-to-end encrypted, and the Private Memory itself makes sure we never lose context. -
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Honestly SurfSense is amazing, I use it almost every morning to get an mp3/podcast of my Gmail, Gcal and urgent Linear tickets so I know exactly what's going on that day. It's also insane for board games because I just throw the rulebooks in and share it with my friends so we can chat with the AI together to figure out how to play. And it is scarily good at untangling and explaining really complex rules when we encounter some weird situation! -
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I have seen it on Reddit, surprisingly, it did help me to save 30% in input/output agent tokens, not 60% unfortunately, but for sure better than not using it. Saved way more than I spent on subscription, shame didnt know of 50% discount :)
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By far the best test automation platform! I no longer waste hours writing test code—this AI handles everything. When something breaks, I can see it instantly and fix it. My productivity has easily doubled since I started using it!
- SpotlightSureThing.io - "OpenClaw" for BeginnersTask automation
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I love that Shakespeare is totally open source and fully focused on allowing users to build with freedom, rather than just another AI SaaS trying to lock users into a subscription tier. You can use it with any other AI provider, or pay as you go for credits with Shakespeare's default AI. It's really easy to talk to the app, build a first draft, and deploy. I also like how you can edit other open source projects and improve them. Really cool tool for people who want to build with AI but care about open source and freedom.
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Absolutely love this tool! It helps me apply to jobs so quickly and is so easy to use
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High bandwidth way to work with Claude Code and Codex. Has become my main workspace.
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OpenIf you care about control over your data, this tool is for you! Looking forward to your questions and feedback. Thank you ❤️
