orchestration

An AI harness for long-running penetration tests, bug bounties, and code audits. It combines specialist agents, a Kali runtime, durable state, and second-agent verification for findings.

Mission control for AI coding agents, letting users run, watch, resume, and orchestrate tools like Claude Code, Codex, Copilot, and opencode from one terminal and live dashboard.

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.

Open-source orchestrator for running coding agents like Claude Code, Codex, and OpenCode in parallel on a laptop or VPS, with task queues, worktrees, checks, and a web cockpit.

Cadre is a local-first Kanban board for orchestrating coding agents, including Claude Code, Codex, Grok, Opencode, and OpenAI-compatible setups. It routes tasks, handles blockers and approvals, and keeps agent runs, diffs, and command control in one workspace.

OpenCrew is an open-source multi-agent orchestration layer built on Claude Code. It lets users add agents, route work through a Captain orchestrator, review approvals before tools run, and keep full git-style version history for agent configs and runs.

Taurus is a multi-agent AI orchestration platform for building hierarchical agent teams with persistent memory, isolated containers, schedules, and a REST API.

Open-source control plane for managing Codex agents across machines, with a browser dashboard, event-driven task routing, and local setup instructions.

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 isometric, Theme Hospital-inspired control panel for an AI team, with drag-and-drop task assignment, a journal-backed backend API, and dispatcher scripts for running models.

A governance framework for multi-agent AI systems, with agent lifecycle controls, memory, runtime hooks, and quick-start scaffolding for governed projects.

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.