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Shashi Jagtapleft a comment
Hi everyone! I’m Shashi, founder of Superagentic AI. SpecMem was born completely by accident during the Kiroween Hackathon in San Francisco. One wrong turn in the city led me into AWS Builders Loft, where I tried Kiro for the first time and immediately saw the chaos in today’s agentic coding workflows. Specs everywhere. Markdown formats everywhere. Agents forgetting everything. Total...
SpecMemUnified Agent Experience & Pragmatic Memory for Coding Agent
SpecMem is the first Unified Agent Experience and Pragmatic Memory platform for AI coding agents. It turns specifications into a shared, agent-agnostic memory layer that works across Kiro, GitHub SpecKit, Tessl, Cursor, Claude Code, Codex, Factory, Warp and more. SpecMem gives coding agents real context, detects drift, maps specs to code and tests, enables selective testing and delivers portable, unified memory for every agent.
SpecMemUnified Agent Experience & Pragmatic Memory for Coding Agent
Shashi Jagtapleft a comment
Thank you for checking out DSPy Code. I built this because learning DSPy was harder than it needed to be. The resources are scattered, examples are inconsistent, and updates move fast. Many developers never see how powerful DSPy really is. DSPy Code gives you a natural way to learn by building. You can explore DSPy with your own data, your own local models, and full control of your context. The...
DSPy CodeComprehensive CLI to Build and Optimize Your DSPy Code
Comprehensive CLI to Build and Optimize Your DSPy Code. Develop DSPy AI Agents and Optimize with GEPA. Think of it as Claude Code for AI Agents built with DSPy. In-built MCP client and local model suppor, Version-aware intelligence, Validate, Evaluate and Optimize Your Code as you Go, You manage your context not let others. The CLI that does not degrade your work with outdated library assumptions or pre-training artifacts. Perfect for everyone, DSPy beginners, experts and pros.
DSPy CodeComprehensive CLI to Build and Optimize Your DSPy Code
Shashi Jagtapleft a comment
👋 Hey Product Hunt! I'm Shashi, Founder of Superagentic AI, I built SuperRadar because I was frustrated with biased, AI market maps decentralised tools and resources of Agentic AI. Details on why I created SuperRadar here WHAT SUPERRADAR DOES 🌍 200+ tools from 18+ countries- Global coverage, not just Silicon Valley 🔍 Zero vendor bias - No paid placements, curated on merit alone 🛠️ Built for...
SuperRadarGlobal Intelligence Radar for Agentic AI
SuperRadar: Built for developers racing to stay competitive and businesses exploring AI adoption. Discover, compare, and evaluate hundreds of cutting-edge tools from innovators worldwide. Stay ahead with strategic intelligence and competitive advantage.
SuperRadarGlobal Intelligence Radar for Agentic AI
SuperQuantX unified API for the next wave of Quantum AI. It's a foundation to build powerful Quantum Agentic AI systems with a single interface to Qiskit, Cirq, PennyLane, and more. SuperQuantX is your launchpad into the world of Quantum + Agentic AI.
SuperQuantXThe foundation for the future of Agentic and Quantum AI
Shashi Jagtapleft a comment
Hey, Product Hunt! 👋 I'm Shashi, Founder of Superagentic AI & the builder of SuperQuantX. I'm so excited to share this with you all today! When I dove headfirst into the world of Quantum Machine Learning, and while it was fascinating, it was also incredibly fragmented. I found myself constantly wrestling with different SDKs, hardware backends, and number of tools that all did things in their...
SuperQuantXThe foundation for the future of Agentic and Quantum AI
SuperOptiX AI - Full-Stack Agentic AI Framework. Design and deploy production-grade AI agents with declarative specs, rigorous BDD/TDD evaluation, DSPy-powered optimization, and seamless multi-agent orchestration designed for Context and Agent Engineering.
SuperOptiX AIFull Stack Agentic AI Framework
Shashi Jagtapleft a comment
After 6 years working in the Developer Experience team at FAANG, I took a giant leap of faith to build what I believe is the next leap in AI infrastructure. Why? Because Agentic AI today is fragmented, untestable, and too often just “prompt glue.” Building reliable, scalable AI agents for production has been one of the most significant challenges in the AI industry. While countless frameworks...
SuperOptiX AIFull Stack Agentic AI Framework
AgentVector: The Cognitive Core for Your AI Agents. Vector Database designed for Agentic AI. A specialized memory management system. Built on top of LanceDB's powerful vector database capabilities. Built by Superagentic AI.
AgentVectorDB (AVDB)The Cognitive Core for Your AI Agents.
Shashi Jagtapleft a comment
The first even Vector Database designed for Agentic AI. A purpose-built memory system for AI agents, optimized for the Agentic era and Agentic RAG. It's your agent’s memory, reflection engine, and retrieval backbone — all in one.
AgentVectorDB (AVDB)The Cognitive Core for Your AI Agents.