Event Horizon — Multi-agent orchestration for AI coding agentsTurn any AI coding agent into a project manager. One command creates a plan, spawns a team of AI agents, assigns roles, and manages the entire project -- while you watch it happen live in a cosmic visualization.
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No accounts. No config files. No API keys. Everything runs on your machine.
What happens when you use Event HorizonBefore: you manage every agent manuallyYou open three terminals. Claude Code builds the API. OpenCode writes tests. Copilot updates docs. They all edit the same project. Claude overwrites OpenCode's changes to After: your agent manages the team for you
Your agent becomes the orchestrator. It analyzes the work, breaks it into parallel tasks, spawns worker agents in visible terminals, assigns roles, enforces file locks, tracks the budget, retries failures, and reports back when everything is done. You watch it happen on a live Kanban board and a cosmic visualization where every agent is a planet. Works with every major AI coding agent
One-click connect. MCP server auto-registered. Hooks auto-updated on every activation. Mix and match agents freely -- Claude orchestrating OpenCode workers is a first-class workflow. Core capabilitiesMulti-agent orchestrationThe agent that creates a plan auto-becomes the orchestrator with elevated MCP tools to spawn agents, assign tasks, monitor the team, and control budgets. Spawned agents run in visible VS Code terminals -- full transparency, click any planet to focus its terminal. Plan coordinationAtomic task claiming (no duplicate work), dependency resolution (blocked tasks auto-unblock), cascade failure with auto-retry and model escalation (haiku fails, sonnet retries, opus escalates). Smart task recommendations score agents by role match, historical performance, and current load. File locking and worktree isolationWhen Agent A edits a file, Agent B is hard-blocked -- the tool call doesn't execute. Locks refresh on writes and release on agent termination. For full isolation, agents can work in their own git worktrees with auto-merge on completion. Shared knowledgeA live knowledge base where humans and agents contribute context in real-time. Workspace knowledge persists across sessions. Plan knowledge lives with the plan. Auto-discovers CLAUDE.md, .cursorrules, copilot-instructions.md, and other instruction files. Budget and cost controlsPer-plan spending limits with warning at 80% and hard stop at 100%. Tiered model selection tries the cheapest model first per task complexity. Failed verification auto-escalates (haiku to sonnet to opus). Cost Insights panel shows cache efficiency, duplicate reads, and actionable recommendations. Agent roles and profilingEight built-in roles (researcher, planner, implementer, reviewer, tester, debugger, orchestrator, context-optimizer) plus custom roles. The profiler tracks success rate, speed, and cost per agent type per role -- so you know which agent is best at what. Live visualizationEvery agent is a planet. The cosmic metaphor encodes real information:
Operations dashboardFull-screen dashboard ( 40+ MCP toolsAll agents access coordination tools via the MCP server (auto-registered on connect):
Nine bundled skills handle common workflows so agents don't need to memorize tool names:
28 achievementsMilestones that track your multi-agent journey -- from spawning your first agent to surviving file collisions, catching UFOs, and diving astronauts into black holes. Some are secret. Some have tiers. All persist across sessions. Privacy
LinksMIT License with Commons Clause -- see LICENSE. |
