AGFTAB delivers enterprise-grade multi-agent architectures, high-frequency quantitative engines, and sovereign offline software with zero cloud dependency and $0.00/month recurring overhead.
Flagship Volumes
Production Repositories
Bars / Sec Simulation
Cloud Overhead / Mo
We build production-ready systems designed for extreme speed, complete data sovereignty, and unyielding reliability.
Self-orchestrating DAG state machines executing complex enterprise workflows with Kahn's cycle detection and human-in-the-loop checkpoints.
High-frequency L3 orderbook matching engines, discrete event-driven backtesters, and Monte Carlo Value at Risk (VaR) simulations.
Zero-GPU local language model deployment, native GGUF stream parsing, 4-bit/8-bit block quantization, and OpenAI-compatible SSE streaming.
Automated static vulnerability scanning, SQLi and RCE interception, Control-Flow Graphs, and automated unified diff patch synthesis.
Webhook-free headless digital stores, HMAC-SHA256 authenticated invoicing, and automated customer order fulfillment pipelines.
Anti-detect headless browser fleets, TLS fingerprint coherency, and 100% offline private neural retrieval engines.
Complete source code, mathematical foundations, and production-tested architectures packaged for engineers and technical founders.
Our complete engineering empire packaged into one single master archive: 15 full-length volumes (EPUB 3.0, 6x9 Print PDFs, Web Readers) accompanied by 19 complete commercial Python repositories.
INSTANT DIGITAL DELIVERY
⚡ Complete Master Archive (15 Books + 19 Codebases)
Browse Single VolumesWhether you need custom autonomous AI agents, quantitative backtesting infrastructure, or high-volume scraping fleets, our engineering team delivers production codebases in record time.