orchestration

OpenRig is a local control plane for multi-agent coding topologies. It uses a YAML-based rig spec to boot, inspect, snapshot, restore, and visualize agent fleets, with examples like product teams, adversarial review, research clusters, and secrets management.

Open-source runtime for multi-agent AI systems with job scheduling, DAG orchestration, shared memory, tool execution, and real-time observability.

A Go-based local orchestration platform for AI coding agents, with live event streaming, session replay, and durable execution history.

A Python CLI and Claude Code skill for running Codex and Cursor coding agents as subagents, with fanout, model selection, sandbox controls, and remote execution support.

Open-source voice-driven multi-agent assistant for building real projects on a Mac, with voice, web chat, and WhatsApp channels plus CLI-based task runners.

OMAR is a terminal-based tool for orchestrating large hierarchies of AI agents from one place. The page shows a TUI product with support for multiple backends, tmux integration, Slack messaging, and quick-start install options for macOS, Linux, Homebrew, and source builds.

Open-source Go runtime for autonomous multi-agent systems. Swarm models work as durable state machines, persists state, supports replay/fork, and integrates with multiple LLM backends.

Open-source local compute fabric for AI agents. It runs a single-node K3s stack through Docker Compose, provisions isolated Ubuntu sandboxes, and exposes native MCP support for local agent workflows.

A Java framework for building stateful multi-agent workflows on top of Spring AI, with graphs, routing, retries, checkpoints, and shared state.

An opinionated write-up on where multi-agent systems have and have not delivered value, with concrete comparisons across coding, images, CAD, and BIM, plus a description of Blade’s evidence-first architecture.