MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641050495 A) filed by Ms. Sini Prabhakaran; Ms. Yamini; Ms. Subiksha; Mr. Sailesh; and Mr. Naveenkumar on April 21, 2026, for Autonomous Research Assistant.
Inventors include Ms. Sini Prabhakaran; Ms. Yamini; Ms. Subiksha; Mr. Sailesh; and Mr. Naveenkumar.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Rapid advances in Artificial Intelligence (AI) and Large Language Models (LLMs) have made it possible to develop sophisticated autonomous systems capable of reasoning, tool use, and continual self-improvement. This project presents the design and implementation of an Adaptive Multi-Agent AI System (AMAAS) for intelligent task automation. The system orchestrates six specialised agents - a Planner Agent, Research Agent, Tool Agent, Synthesizer Agent, Decision Agent, and Memory Agent - each fulfilling a precisely defined cognitive or operational role within a unified orchestration framework. The system leverages Retrieval-Augmented Generation (RAG) using a FAISS vector database to substantially reduce hallucination and improve factual accuracy by grounding responses in externally retrieved knowledge. A dynamic tool execution subsystem, governed by a structured TooiRegistry, enables real-time interaction with web search APis, code execution sandboxes, and third-party external APis. A closed-loop adaptive feedback mechanism enables continual learning through user signal ingestion, source reputation scoring, concept -:irift detection, and dynamic retrieval parameter tuning -without requiring retraining of the underlying large language models. The system is instrumented with a comprehensive observability infrastructure tracking latency, token consumption, confidence scores, retry rates, and memory hit rates at per-request granularity. This project exemplifies the effectiveness of multi-agent collaboration, retrieval-augmented reasoning, and adaptive learning in building reliable, explainable, and scalable AI systems applicable across enterprise knowledge management, intelligent customer support, research automation, and decision support domains.
Disclaimer: Curated by HT Syndication.
