{"repo":"precious112/prism-ai-deep-research","free":true,"listed":false,"github":"https://github.com/precious112/prism-ai-deep-research","clone":"git clone https://github.com/precious112/prism-ai-deep-research.git","description":"Open Source Deep Research and Learning Agent (Perplexity Pro Alternative). Orchestrates autonomous researchers using LangGraph, Python, and Next.js for students, developers, and lifelong learners.","language":"TypeScript","stars":19,"topics":["ai-agents","autonomous-agents","deep-research","langgraph","open-source","perplexity-alternative","python","research-agent","llm-agentic-workflow","ai"],"license":"MIT","category":"ai-agents","readme_excerpt":"Prism AI (Open Source Deep Research) An open-source AI research agent that thinks like a human analyst. Alternative to: Perplexity Pro, OpenAI Deep Research. --- 🚀 Why Prism AI? LLMs are great at summaries but bad at deep research . They hallucinate, miss key details, and struggle with long-context tasks. Prism AI solves this by orchestrating a team of autonomous agents. Whether you're a student, a developer, or a lifelong learner, Prism helps you dive deep into any topic. Instead of a single inference pass, it uses a Plan-and-Execute architecture to: 1. Plan : Break down a complex query into a structured Table of Contents. 2. Research : Spawn multiple \"Researcher Agents\" to search, crawl, and read the web in parallel. 3. Synthesize : Aggregate findings into a cohesive, cited report. 4. Visualize : Generate custom charts and diagrams to explain complex data. 🧠 Beyond Research: A Powerful Learning Tool Prism AI isn't just for professionals. It's a versatile tool for anyone curious to learn. Use it to: Master new topics : Generate comprehensive guides on anything from quantum computing to ancient history. Accelerate academic work : Synthesize literature reviews, find citations, and explore new perspectives. Onboard onto codebases : Point it at a GitHub repo to understand its architecture and key components. 🎥 Demo --- ✨ Key Features 🧠 Plan-and-Execute Pattern : Uses a PlanningAgent to generate a research roadmap before executing. ⚡ Parallel Execution : Utilizes Python async","default_branch":null,"files":null,"tree":[],"storefront":"/r/precious112","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/precious112/prism-ai-deep-research/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}