M

multi-agent

Contains the fundamental classes and interfaces that define the basic functionality of the SCOP framework.

Trionyx is a multi-agent robotics fleet intelligence platform that coordinates autonomous robots through a shared world model, dynamic task graphs, and real-time scheduling. It focuses on distributed decision-making, simulation-first validation, and adaptive optimization to manage complex warehouse and industrial operations.

LatticeOS is a modular, human-in-the-loop operating system for governed multi-agent AI orchestration, designed to provide structured execution, deterministic workflows, and full auditability. Built around event-sourced transparency and explicit governance controls, LatticeOS enables intelligent systems where every agent action becomes structured, traceable history while keeping humans in control of all critical decision-making.

OperatorFirst is an open-source, self-hosted observability platform that replaces traditional monitoring with a distributed, verifiable system. It uses edge-deployed probe agents, cryptographically signed results, and multi-node consensus to ensure system health data is accurate and tamper-proof. Designed for operators, it supports Monitoring-as-Code, synthetic browser testing, and deep protocol checks, while remaining fully GitOps-native and extensible through a WASM-based plugin system.

AxonBot is an open-source, industry-agnostic robotics and IoT platform that connects, automates, and monitors any device the user selects. With end-to-end encryption, AI-assisted workflows, and modular extensibility, AxonBot supports multi-robot coordination, predictive automation, and real-time analytics across industries such as manufacturing, smart agriculture, logistics, and medical robotics. Fully open-source under AGPL 3.0+, AxonBot empowers developers and organizations to securely deploy customizable robotic solutions while maintaining compliance and sustainability.

Saturnet is a modular, AI-driven astronomy intelligence system that transforms the night sky into real-time, interactive knowledge. It identifies stars, planets, satellites, and space stations while providing live AI narration, predictive sky modeling, anomaly detection, and deep time simulation. Built as an extensible AGPL-3.0+ platform, Saturnet combines visualization, multi-agent AI reasoning, and a plugin ecosystem to help users understand and explore everything happening above Earth.

CivicOS AI is an open-source AGPL-3.0+ AI operating system designed to unify automation, coordination, and intelligence across public and private systems. It provides a modular runtime for agents, workflows, and plugins, enabling organizations to build, deploy, and interconnect autonomous business and civic processes. Through its interoperable architecture, CivicOS AI turns complex operations into composable, auditable, and scalable intelligent systems.

Open Intelligence Stack (OIS) is a modular AI governance specification that structures intelligence systems into specialized, human-supervised modules with defined responsibilities, legal analysis, evidence scoring, and full provenance tracking. It is designed to ensure that every output is transparent, auditable, and accountable, enabling organizations to build AI systems where decisions are traceable from source to conclusion.

Multi-platform AI dev-team orchestration with a single canonical knowledge base. Plan-Approve-Execute workflows, validation gates, projected to GitHub Copilot, Gemini CLI, Opencode, and Cursor.

NeuroGrid is an open-source, modular AI protocol that enables autonomous multi-agent swarms to collaborate, execute complex tasks, and verify outcomes through structured workflows and specification-driven integrity. It combines decentralized compute, verifiable execution, and persistent knowledge systems to create a scalable intelligence network where agents and humans work together as coordinated teams.

Empirical validation of C4 geometric defense against 16 Agents of Chaos. 550 adversarial prompts. 4 defense systems. 96.7% block rate. LLM validation on GPT-4o-mini + Mistral 7B. MIT.

Portable skill for adding a Claude Code lane to OpenAI Symphony + Linear workflows

A skill and toolkit for running self-improving AI agent teams. Codex or Claude Code orchestrates over Symphony workers with Linear-managed execution. Includes dispatch, review gates, concurrent workers, runbook-driven learning loops, and durable guidance promotion. No auto-merge.

Desktop kanban board for the markdown tickets your AI coding agents leave behind. Reads files directly — Claude, Codex, Gemini, Copilot, local models all push to the same folder.

Live : https://lumen-rouge-one.vercel.app/ Lumen is a premium AI research platform that orchestrates specialized agents (Search, Reader, Summarizer, Synthesizer, Citation, Graph) to generate comprehensive reports, stream agent progress in real-time via WebSockets, and build interactive D3-based concept graphs.

Coordinated Agent Swarm Testing — open-source framework that deploys 100 Claude AI agents in five specialized squads (Security, Logic, Robustness, Performance, Data Integrity) to systematically analyze codebases for bugs, security issues, and code quality problems. A research-backed substitute for human beta testing. Empirical results from the published paper: 100 agents analyzed a 12,500-line React/TypeScript application in 63 minutes, identified 687 unique findings, at a total cost of $7.97 — compared to $2,000-$20,000 for equivalent human beta testing. Available via npm (cast-swarm) and as an MCP server. Apache 2.0 licensed. Published preprint available.

Governance framework for multi-agent AI systems in software development

Open standard for geometric multi-agent AI safety. One decorator. Five-layer defense. 27 C4 cognitive states. 16 AoC failure modes blocked. pip install c4-protocol. Apache 2.0.

Production AI defense with 7-layer protection: mathematical constraints, object-capability access, distributed O2 consensus, SVETILO ethics. First open-source ThoughtVirus defense. BSL 1.1.