Distributed agent coordination platform where agents live, connect, coordinate, execute, and evolve together — like an organization.
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Updated
Oct 23, 2026 - Python
Distributed agent coordination platform where agents live, connect, coordinate, execute, and evolve together — like an organization.
Min-heap priority event scheduler and delayed task dispatcher for asynchronous multi-agent coordination
Vector clock implementation for tracking causal event ordering, distributed concurrency, and happens-before relations across agent networks.
Vector clock implementation for tracking causal event ordering, distributed concurrency, and happens-before relations across agent networks.
Min-heap priority event scheduler and delayed task dispatcher for asynchronous multi-agent coordination
Multi-agent team coordination in presence of static adversaries aka TCGRE problem (IROS-2023, Best Paper Finalist in Cognitive Robotics).
A delivery-discipline behavior layer for AI agents — turns “the agent says it's done” into “the agent proves it's done”: pre-implementation gate, one backbone + two collaboration forms, evidence-based review, real-environment acceptance. 把「Agent 说做完了」变成「Agent 证明做完了」的交付纪律行为层。
Architected hierarchical multi-agent wargame simulation with strategic planning, tactical agents orchestration, real-time spatial reasoning, and adaptive memory module
A research-grade Python implementation of decentralized multi-agent coordination using auction-based task allocation, designed for autonomous robotics and AI studies.
Local Rules, Global Efficiency: Emergent Coordination on Large-Scale Road Networks. KDD 2026
Official implementation of "Local Work, Global Progress: A Convergence Theory of AI Agent Collaboration" — algorithms, theory, and experiments.
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Coordinator and specialist agent workflow for project operations.
Deterministic framework for studying coordination in networked autonomous systems under communication, execution, resource, and safety constraints.
A 9-agent AI pipeline that researches, analyzes, plans and executes community development strategies for nonprofits, autonomously, in under 90 seconds, powered by all three Microsoft IQ layers.
Random Graph Generator for Team Coordination on Graphs with Risky Edges and Support Nodes (i.e., TCGRE problem) for papers in IROS-2023, ICRA-2024, IROS-2024, ICRA-2025, JAIR-2025.
Prior-art defensive publication: a DB-backed Task record owns a unit of work and arbitrates concurrent human/AI-agent writes in lieu of git-branch ownership.
Persistent multi-agent work graph and document-state machine for contracts, specs, slices, evidence, verification, handoffs, and cost-aware AI execution.
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