Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP tools, 6-tier memory, Agent Packs marketplace, zero telemetry. Python 3.12+, Apache 2.0.

A work of meta-recursive experiential fiction exploring the boundaries between truth, perception, consciousness, and reality.

From Discovery to Draft... An AI research agent that finds, reads, and writes papers. It searches academic databases and the web, parses PDFs, answers queries, and generates research drafts with a polished frontend.

🔬 Parallel AI research orchestration tool - Deploy multiple cursor-agent workers simultaneously to conduct comprehensive research with specialized focus areas and intelligent synthesis.

Transforms unstructured information into a structured Exploration Dashboard

AWARE is a decision support tool for Avoiding WAste in health REsearch. It allows users to upload studies and assess their value for decision-making. In development.

Research-driven course generator for Claude Code. Reads real articles. Writes real courses.

LifeNode 2.5: The Q-Core Engine Operational implementation of the Cognitive Field Theory. Moving beyond LLMs into Process-Based Intelligence. Goal: Bridging BIOS (Biological Reality) with INFO (Digital Structure) through the ASCALON purity filter.

Knowledge synthesis engine for the Jeeves platform. Discovers .meta/ directories, gathers context from files and vector search, and produces structured synthesis artifacts via a three-step LLM pipeline (architect, builder, critic).

A Claude Code skill that researches any topic using parallel web search agents and produces a sourced playbook

Give it any topic — the agent searches the web, reads full articles, detects contradictions between sources, and synthesizes a cited research report. Powered by Claude Opus, FAISS vector search, and DuckDuckGo.

Code for : Applying LLMs and Semantic Technologies for Data Extraction in Literature Reviews: A Pilot Study in LIS

🧠 Orchestrate parallel AI research with Cursor CLI Heavy to synthesize diverse insights into comprehensive reports on any topic.

🧠 Conduct parallel research using multiple AI assistants for a comprehensive analysis on any topic, synthesizing findings into unified reports.

Build and run autonomous AI agents locally for experimentation and personal automation with secure, multi-channel support and layered cognitive memory.