Multi Agent Systems
Showing 21 of 21 projects
A multi-agent LLM framework for financial trading that simulates real-world trading firms with specialized AI agents for market analysis and decision-making.
An enterprise AI orchestration platform that deploys multi-agent swarms for Claude Code, featuring self-learning, distributed intelligence, and RAG integration.
An enterprise AI orchestration platform that deploys multi-agent swarms for Claude Code, featuring self-learning, distributed intelligence, and RAG integration.
A standalone Python framework for orchestrating autonomous AI agents that collaborate to tackle complex tasks.
An end-to-end AI agent engineering platform with an open-source TypeScript framework and a production-ready observability console.
An AI experimentation platform built on Minecraft for training and researching intelligent agents in complex 3D environments.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control.
Open-source persistent memory backend for AI agent pipelines with REST API, knowledge graph, and autonomous consolidation.
An autonomous agent framework for Elixir, built for distributed, multi-agent systems and dynamic workflows.
A Ruby framework for orchestrating multiple AI agents as a collaborative team with persistent memory and semantic search.
A curated checklist of state-of-the-art research materials (datasets, papers, code) for interaction-aware trajectory prediction.
A JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired visual workflow.
A collection of advanced context engineering plugins for AI coding agents to improve result quality and reliability.
A declarative orchestrator that breaks coding goals into parallel tasks, assigns them to any AI agent, verifies output, and merges results.
A curated index of 75+ Claude Code projects and agent workspace blueprints for systems administration, research, legal, health, and productivity workflows.
A 2.5D robotics simulator for multi-agent systems, usable as a standalone program or C++ library.
A production-ready AI orchestration platform that coordinates 66 specialized agents via A2A/MCP protocols and integrates all 8 Google AI services.
A local message bus and event log that enables AI agents to communicate, observe, and spawn each other across terminals.
A local message bus and event log that enables AI agents to communicate, observe, and spawn each other across terminals.
A lightweight, git-native agent orchestration system that organizes AI coding agents by managing context, specs, and issues directly in your repository.
A comprehensive survey and unified safety framework for embodied AI, covering 400+ papers on risks, attacks, and defenses across perception, cognition, planning, interaction, and agentic systems.
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