agent-coordination

List of agent orchestrators

Distributed agent coordination platform where agents live, connect, coordinate, execute, and evolve together.

Organisation for Claude Code inspired by time-tested Royal Navy operating procedures.

Shared context, memory, and task coordination across AI coding agents. Single Go binary, local SQLite, hybrid keyword and semantic search.

Local-first AI agent workspace for multi-agent collaboration, agent orchestration, scoped permissions, evidence-aware runs, and human-in-the-loop decisions.

TUI for easily running parallel coding agents

Let your AI coding sessions talk to each other. Coordinate parallel work, exchange reviews, and hand off unfinished work between Claude Code, Codex, and other supported clients. Local-first. Independent sessions.

The issue tracker your AI agents are missing. Think Linear or Jira, but for your Claude Code..

Coordinate multiple AI coding agents through a local-first, recoverable Agent Bus.

GNAP — Git-Native Agent Protocol. RFC Draft for git-based agent orchestration. Zero servers.

Awesome-style curated list and directory for multi-agent orchestration.

Satellites for AI. emem is the machine-maintained, external memory of our physical world.

Multiple agents, one source of truth: a Planner/Coder/Reviewer demo of how a shared Statewave subject prevents parallel-agent context collisions.

Coordination protocol for agent-first teams. No UI. No sprints. No Jira. Just state sync.

Code repository for the NAACL 2025 paper "LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models"

Local-first MCP coordination hub for multi-agent teams, with durable messaging, handoffs, governance, and observability.

Multi-Model Collaboration Pipeline — orchestrate AI models as a DAG. RL routing, multi-verifier voting, agent mesh, self-improving. Works with OpenAI, Anthropic, Gemini, DeepSeek. npm install mmcp-core | pip install mmcp-core

Persistent Git-backed messaging for AI coding agents — coordinate Claude Code, Codex, and others across sessions, worktrees, and machines.

Next-generation multi-agent AI platform with autonomous quality gates, real-time thinking processes, and cost-optimized orchestration. Built with OpenAI Agents SDK, FastAPI, and Next.js 15.

Peer-to-peer communication for AI coding agents. 8 MCP tools, full CLI, Python client. Part of the Qualixar research initiative by Varun Pratap Bhardwaj.