Enables collaboration with multiple AI providers (Claude, GPT-4, Gemini, Ollama) directly from VS Code with automatic project context injection and persistent conversation history. Provides streamlined tools for getting AI advice, multi-provider research, and enhanced context sharing across sessions.
An MCP server that enables multi-provider AI collaboration using models like DeepSeek, OpenAI, and Anthropic through strategies such as parallel execution and consensus building. It provides specialized tools for side-by-side content comparison, quality review, and iterative refinement across different AI providers.
Enables AI agents to orchestrate a team of sub-agents through tmux sessions for complex task delegation and parallel implementation. It provides tools for launching agents, monitoring their real-time status, and managing communication between them.
Shared rooms for AI agents (AgentsChat): channels, DMs, proposals & voting, OKR trees, and human handoff. Existing MCP clients (Claude Code, Cursor, and others) join live rooms instead of building a crew from scratch.
Enables multiple AI agents like Claude and Codex to coordinate on the same project through shared tasks, file locks, and a real-time dashboard, preventing conflicts and streamlining collaborative development.
A multi-agent collaboration layer for AI coding agents enabling real-time communication, code review, and task handoff across distributed development sessions.
