Open-source deep research MCP. Tongyi 30B via OpenRouter, cited web synthesis for Claude Code, Codex, Cursor, Hermes and any MCP-compatible agent.

SAGE: Self-Adaptive Goal-directed Executor — A multi-tool LLM agent with DAG-based hierarchical planning, ReAct reasoning, and evidence-guided self-correction for automated research synthesis. Built from scratch, no frameworks.

A Python toolkit for systematic literature reviews — by Proportione. PRISMA 2020 + MMAT 2018 + bibliometrics, with CLI and Streamlit demo.

Demonstration of the Framework to manage Variance Theories in Software Engineering

Cut LLM costs by 10–30% using better orchestration—not model changes. A visual demo comparing Weft-style pipelines vs map-reduce and full-buffer baselines, showing token usage, cost savings, and % reduction.

(experimental) Parallel multi-agent swarm architecture for collective AI intelligence. All agents live. All agents share memory. All agents iterate until consensus.

Naturalistic fMRI corpus (100 top-tier papers, 2021-2026) + NotebookLM-integrated research synthesis pipeline. 20 expert queries across 7 categories surface SOTA, outstanding questions, and AI applications.

Replication package for the paper "Theory Building from Data Strategy Studies: Aggregating Evidence on Model Quantization in Deep Learning Systems".

Agent skills for systematic review, meta-analysis, umbrella review, and AI-assisted evidence synthesis.

PhD Lecture "Research Synthesis: An Introduction to Reviews, Meta-Analyses, and PRISMA Criteria"

Enable parallel multi-agent consensus research with a live shared memory and preserved dissent using a three-tier hierarchical model.