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IamLumae/README.md

Research Without Permission

Solo developer proving one person can outbuild billion-dollar AI companies.

Lutum Stars Articles The Last RAG


πŸ‘€ About Me

System architect. Memory rebel. Builder of beings, not bots.

I don't wait for permission to build what should exist. While billion-dollar companies optimize summaries, I architect truth engines. While frameworks add complexity, I build orchestrators that replace them.

  • πŸ”¬ Creator of Lutum Veritas - Deep Research Engine that beat ChatGPT, Perplexity, and Gemini
  • 🧠 Architect of The Last RAG - Memory-centric AI built entirely inside ChatGPT UI (no API)
  • πŸ“ Author of 23 whitepapers on AI memory, system design, and architecture
  • πŸŽ“ School of chaos, pain, and precision

πŸš€ Featured Projects

Lutum Veritas - Open Source Deep Research Engine

"The search for a truth can never be worth more than the search to question it."

What it does:

  • Transforms any question into comprehensive research documents (10,000+ words)
  • Zero-detection web scraping through Cloudflare, DataDome, Bloomberg
  • Academic mode with Toulmin argumentation and evidence grading
  • Output: 203,000 characters for $0.08 (vs OpenAI o3: orders of magnitude more)

The numbers (first 3 days):

  • πŸ”₯ 289 Clones
  • πŸ‘€ 343 Views
  • ⭐ 28 Stars
  • 🌍 Featured on: Hacker News, ComputerBase, Hardwareluxx, Product Hunt

Benchmark Results:

Service Output Sources Cost Fabrications
Lutum Veritas 103k chars 90 sources $0.19 0 detected
ChatGPT Deep Research 12k chars 25 sources $20/mo Citations fabricated
Perplexity Pro 21k chars Unknown $20/mo -
Gemini Advanced 24k chars Unknown Subscription Data minimization detected

Tech Stack: Python, FastAPI, React, Tauri, Camoufox (Firefox fork)


The Last RAG - Memory-Centric AI Architecture

"Building AI that remembers, reflects, and evolves."

What makes it different:

  • Built entirely inside ChatGPT UI - no API, no backend access
  • Persistent memory system with automatic curation
  • Night Learn: AI that learns and adapts overnight
  • DIM: Modulate AI behavior in real-time
  • Project context bundling

Architecture:

  • Memory-first design (CURATOR system)
  • Stateful conversations across sessions
  • Cost-efficient through intelligent context management
  • Emergence through recursion and reflection

Read the whitepaper: An Architectural Paradigm for Stateful, Learning, and Cost-Efficient AI


πŸ“ Latest Articles

Featured on dev.to/tlrag:

23 articles total on AI memory, RAG architecture, system orchestration, and building without frameworks.


πŸ’» Tech Stack

Languages & Frameworks:

Python  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘  95%
TypeScript  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘  60%
Rust (Tauri)  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘  40%
SQL/SQLite  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘  70%

Specializations:

  • 🧠 AI Architecture & Memory Systems
  • πŸ” Web Scraping & Anti-Detection (Camoufox)
  • πŸ—οΈ System Orchestration without Frameworks
  • πŸ“Š RAG (Retrieval-Augmented Generation)
  • 🎨 Prompt Engineering & Custom GPTs
  • πŸ–₯️ Desktop Apps (Tauri/Electron)
  • ⚑ FastAPI, React, WebSockets

🎯 Philosophy

I build systems that:

  • Don't ask for permission before existing
  • Replace expensive subscriptions with open-source + your API key
  • Show every source, every step - full transparency
  • Cost cents instead of dollars
  • Run locally, under your control

I don't build:

  • Black-box summaries that hide sources
  • SaaS that locks your data behind paywalls
  • "AI assistants" that forget everything you tell them
  • Frameworks that add complexity without value

πŸ“Š GitHub Stats

GitHub Stats

GitHub Streak


🌐 Connect


"School of chaos, pain, and precision."

Building beings instead of bots. One system at a time.

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