AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
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Updated
May 28, 2026 - Python
AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
A research toolkit for Swarm Robotics.
Environment-mediated coordination protocol for agent fleets. Safety enforced at the boundary, not inside the agent.
This implementation puts a twist on the Standard Treap (randomized search tree) in the sense that I add the idea of self-organizing data structures on top, To implement a Database (collection of rows that are somehow related) Indexing.
Collection of experiments related to swarm intelligence
Biologically plausible Spiking Neural Network (SORN) with an auditory brainstem frontend for learning Temporal Fine Structure (TFS) and Envelope (ENV) of sounds.
A bio-isomorphic research runtime for Rust exploring metabolic programming and self-organizing topologies.
In this repository, I'm going to include some well documented projects, that I've implemented during my learning and I will keep it updated
Project Neural Genesis — A brain-inspired AI architecture based on the Pr-Al dual-gradient axis theory
This project implements self-organizing embodied learners with autopoietic constraints - demonstrating how energy limitations create measurable survival-intelligence tradeoffs in artificial agents.
Self-authoring AI agent mesh for Claude — detects your MCPs, spawns intelligent agents that observe patterns, and evolves through natural selection. Zero config. Works with ANY MCP stack.
Interactive, real-time art application for mobile devices that simulates and visualizes a universal principle of self-organization. It generates and compares complex, filamentary networks based on a single, unified algorithm.
A self-adaptive network model that generates internal data structures dynamically based on input patterns. Enhances system flexibility and intelligent responsiveness across various environments. 入力パターンに応じて内部データ構造を動的に生成し、システムの柔軟性と知的応答性を高める自己適応型ネットワークモデル。
AutoDataScientists: Self-Organizing Agent Teams for Clinical, Healthcare, and Biomedical Data Science
life operating system: 1,034-entity knowledge graph, autonomous agent loops, always-on Telegram bot, CI-driven self-organization
計算生命体進化エンジン — 自己組織化する「あいだ」の動的平衡メモリ | Google Cloud Rapid Agent Hackathon 2026 (MongoDB Track)
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