swarm-intelligence

The open source runtime to harness autonomous, verified AI at scale.

Ant colony simulator

Your personal AI hive. One Rust binary, fully local, genuinely yours.

A self-hosted software factory — define goals, agents decompose and execute them through enforced pipelines, with humans in the loop where it matters.

Rust Powered Terminal Artificial Life SIM

Ebbiforge: 10 Million agents. Zero LLM cost. Rust-core swarm intelligence that outperforms traditional frameworks on 8 fundamental benchmarks.

Drone swarm orchestration: combinatorial auctions, particle filters, fear meta-parameter, glass-box XAI — 23K lines of Rust

Automate governed AI agent loops in Rust with policy checks, verification, memory, and replay for controlled execution

Cyber Swarm Intelligence at Kernel Speed. Stigmergic Agentic Detection Swarms. Human <> Agent Collaborative Threat Hunting Environments

An experimental physics-steered LLM generation engine. Unifying retrieval and generation through continuous Diderot fields, Llama 3.1, and volumetric Gaussian splat memory.

Distance-Constrained Capacitated Vehicle Routing Problem (DCVRP) using Ant Colony Optimization. Core in Rust, analysis in Python.

RXP (Reactive eXchange Protocol) is a deterministic, low-latency state synchronization protocol for multi-agent systems. It enables causally consistent, replay-safe shared state using partitioned single-writer execution, delta-based updates, and reactive push stream

The first diffusion-native CLI for autonomous code synthesis. Stigmergic coordination via thermal heat maps, powered by Inception Labs Mercury 2.

Rust-native Swarm Intelligence Prediction Engine

Adaptive Swarm Grid for efficient distributed execution across heterogeneous devices

A deterministic, tick-based, scriptable multi-agent simulation engine on a 2D grid, written in Rust.

Decentralized AI swarm intelligence protocol for DeFi — oracles, prediction markets, stigmergy coordination, and multi-chain deployment.

A Pythonic toolkit for Ant Colony, Particle Swarm, and Bee Colony optimization — written in Rust for high performance, designed for real-world use.

A distributed implementation of Reynolds' boids model, built to measure what spatial decomposition actually costs and when it stops paying off.